data migration specialist

CodeNinja

<div>About CodeNinja<p><b>
CodeNinja</b> is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
</p><b>Role Purpose</b><p>
Lead the ERP program&rsquo;s data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.</p><b>
Key Responsibilities</b><ul><li><b>Conduct comprehensive assessment of legacy data sources:</b></li></ul><p>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs</p><ul><li><b>Identify:</b></li></ul><p>
o Data quality issues (duplicates, missing, inconsistencies)</p><p>
o Data ownership and governance gaps</p><p>
o Redundant/siloed datasets</p><ul><li>Define data cleansing and standardization approach</li><li>Produce <b>Data Readiness Assessment Report</b></li><li>Define <b>end-to-end Data Migration Strategy,</b> including:</li></ul><p>
o Migration approach (phased, module-wise, or big-bang)</p><p>
o Data prioritization (master data vs transactional vs historical)</p><ul><li>Develop <b>Data Mapping Specifications:</b></li></ul><p>
o Legacy  ERP field-level mappings</p><p>
o Transformation rules and standardization logic</p><p>
o Handling of missing/invalid data</p><ul><li>Define <b>Data Cleansing &amp; Preparation Plan:</b></li></ul><p>
o Deduplication rules</p><p>
o Data enrichment where required</p><p>
o Validation checkpoints before migration</p><ul><li>Design <b>Migration Execution Plan:</b></li></ul><p>
o Migration cycles (mock runs, dry runs, final cutover)</p><p>
o Rollback strategy in case of failure</p><p>
o Downtime and cutover planning</p><ul><li>Define <b>Data Validation &amp; Reconciliation Framework:</b></li></ul><p>
o Pre-migration vs post-migration validation rules</p><p>
o Reconciliation reports (counts, totals, relationships)</p><p>
o Sign-off criteria for each module</p><ul><li><b>Produce key deliverables:</b></li></ul><p>
o Data Migration Plan</p><p>
o Data Mapping Documents</p><p>
o Data Validation &amp; Reconciliation Reports</p><ul><li>Identify and enable <b>AI/ML use cases,</b> such as:</li></ul><p>
o Predictive maintenance modeling</p><p>
o Inventory demand forecasting</p><p>
o Supplier performance analytics</p><ul><li><b>Leverage AI tools for:</b></li></ul><p>
o Data profiling and anomaly detection</p><p>
o Data quality assessment and cleansing recommendations</p><p>
o Advanced analytics and insights generation</p><ul><li><b>Define enterprise conceptual data model:</b></li></ul><p>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs</p><ul><li><b>Establish:</b></li></ul><p>
o Entity relationships</p><p>
o Master data definitions</p><p>
o Data standardization rules</p><ul><li>Support BI teams for dashboards and analytics</li><li>Align data models with business workflows</li><li>Ensure requirements are <b>data-feasible and consistent</b></li></ul><b><br>
Requirements</b><p><br>
3. Required Skills &amp; Experience</p><p><b>
Mandatory</b></p><ul><li><b> 5 - 8 years</b> in Data Analyst / Data Architecture roles</li><li>Experience in <b>large-scale ERP or enterprise data transformation programs</b></li><li><b>Strong expertise in:</b></li></ul><p>
o Data modelling (conceptual &amp; logical)</p><p>
o Data migration and cleansing</p><p>
o Data warehousing and reporting</p><p><b>
Technical Expertise</b></p><ul><li>Strong knowledge of:</li></ul><p>
o ETL processes and migration tools</p><p>
o SQL and relational databases</p><p>
o API-based integrations</p><ul><li>Experience with BI tools (Power BI, Tableau)</li></ul><p><b>
Preferred</b></p><ul><li>Experience in <b>ERP &amp; Enterprise Data Management </b>(logistics, manufacturing)</li><li>Exposure to:</li></ul><p>
o Maintenance (MRO) data</p><p>
o Inventory systems</p><p>
o Technical documentation repositories</p><ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul><p>
o Data analysis and prediction tools</p><p>
o AI-assisted data modeling or profiling tools</p><ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul><p></p>
Why Join CodeNinja?<ul><li>
Work on impactful <b>ERP transformation projects</b> at enterprise scale
</li><li>Shape end-to-end <b>data strategy, migration, and architecture</b>
</li><li>Leverage <b>AI/ML for advanced data insights and analytics</b>
</li><li>Collaborate with cross-functional teams and drive business decisions
</li><li>Build scalable <b>data models and governance frameworks</b>
</li><li>Grow in a culture of <b>innovation, ownership, and continuous learning</b></li></ul>
Equal Opportunity Statement<p>
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply.</p><b><br>
Benefits</b><br>
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Analyst/Data Architect

CodeNinja Inc.

<div>
 <strong>
  About CodeNinja
  <br/>
  <br/>
 </strong>
 <strong>
  CodeNinja
 </strong>
 is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
 <br/>
 <br/>
 <strong>
  <strong>
   Role Purpose
   <br/>
   <br/>
  </strong>
 </strong>
 Lead the ERP program's data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct comprehensive assessment of legacy data sources:
  </li>
  <li>
   Inventory, Maintenance (MRO), Procurement, HR, Technical Docs
  </li>
  <li>
   Identify:
  </li>
  <li>
   Data quality issues (duplicates, missing, inconsistencies)
  </li>
  <li>
   Data ownership and governance gaps
  </li>
  <li>
   Redundant/siloed datasets
  </li>
  <li>
   Define data cleansing and standardization approach
  </li>
  <li>
   Produce Data Readiness Assessment Report
  </li>
  <li>
   Define end-to-end Data Migration Strategy, including:
  </li>
  <li>
   Migration approach (phased, module-wise, or big-bang)
  </li>
  <li>
   Data prioritization (master data vs transactional vs historical)
  </li>
  <li>
   Develop Data Mapping Specifications:
  </li>
  <li>
   Legacy &rarr; ERP field-level mappings
  </li>
  <li>
   Transformation rules and standardization logic
  </li>
  <li>
   Handling of missing/invalid data
  </li>
  <li>
   Define Data Cleansing &amp; Preparation Plan:
  </li>
  <li>
   Deduplication rules
  </li>
  <li>
   Data enrichment where required
  </li>
  <li>
   Validation checkpoints before migration
  </li>
  <li>
   Design Migration Execution Plan:
  </li>
  <li>
   Migration cycles (mock runs, dry runs, final cutover)
  </li>
  <li>
   Rollback strategy in case of failure
  </li>
  <li>
   Downtime and cutover planning
  </li>
  <li>
   Define Data Validation &amp; Reconciliation Framework:
  </li>
  <li>
   Pre-migration vs post-migration validation rules
  </li>
  <li>
   Reconciliation reports (counts, totals, relationships)
  </li>
  <li>
   Sign-off criteria for each module
  </li>
  <li>
   Produce key deliverables:
  </li>
  <li>
   Data Migration Plan
  </li>
  <li>
   Data Mapping Documents
  </li>
  <li>
   Data Validation &amp; Reconciliation Reports
  </li>
  <li>
   Identify and enable AI/ML use cases, such as:
  </li>
  <li>
   Predictive maintenance modeling
  </li>
  <li>
   Inventory demand forecasting
  </li>
  <li>
   Supplier performance analytics
  </li>
  <li>
   Leverage AI tools for:
  </li>
  <li>
   Data profiling and anomaly detection
  </li>
  <li>
   Data quality assessment and cleansing recommendations
  </li>
  <li>
   Advanced analytics and insights generation
  </li>
  <li>
   Define enterprise conceptual data model:
  </li>
  <li>
   Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs
  </li>
  <li>
   Establish:
  </li>
  <li>
   Entity relationships
  </li>
  <li>
   Master data definitions
  </li>
  <li>
   Data standardization rules
  </li>
  <li>
   Support BI teams for dashboards and analytics
  </li>
  <li>
   Align data models with business workflows
  </li>
  <li>
   Ensure requirements are data-feasible and consistent
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Required Skills &amp; Experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Mandatory
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5 - 8 years in Data Analyst / Data Architecture roles
  </li>
  <li>
   Experience in large-scale ERP or enterprise data transformation programs
  </li>
  <li>
   Strong expertise in:
  </li>
  <li>
   Data modelling (conceptual &amp; logical)
  </li>
  <li>
   Data migration and cleansing
  </li>
  <li>
   Data warehousing and reporting
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge of:
  </li>
  <li>
   ETL processes and migration tools
  </li>
  <li>
   SQL and relational databases
  </li>
  <li>
   API-based integrations
  </li>
  <li>
   Experience with BI tools (Power BI, Tableau)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)
  </li>
  <li>
   Exposure to:
  </li>
  <li>
   Maintenance (MRO) data
  </li>
  <li>
   Inventory systems
  </li>
  <li>
   Technical documentation repositories
  </li>
  <li>
   Demonstrated experience using AI/ML tools or platforms, such as:
  </li>
  <li>
   Data analysis and prediction tools
  </li>
  <li>
   AI-assisted data modeling or profiling tools
  </li>
  <li>
   Ability to translate data into AI-driven insights for decision-making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join CodeNinja?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work on impactful ERP transformation projects at enterprise scale
  </li>
  <li>
   Shape end-to-end data strategy, migration, and architecture
  </li>
  <li>
   Leverage AI/ML for advanced data insights and analytics
  </li>
  <li>
   Collaborate with cross-functional teams and drive business decisions
  </li>
  <li>
   Build scalable data models and governance frameworks
  </li>
  <li>
   Grow in a culture of innovation, ownership, and continuous learning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Equal Opportunity Statement
  <br/>
  <br/>
 </strong>
 We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provident Fund
  </li>
  <li>
   Gym Membership
  </li>
  <li>
   Leaves as per the company policy
  </li>
  <li>
   Company-paid trips
  </li>
  <li>
   Easy Loan Facility for Employees
  </li>
  <li>
   Yearly increment
  </li>
  <li>
   Maternity Benefits (Leaves &amp; WFH)
  </li>
  <li>
   Health Insurance (Maternity covered) - includes spouse and parents (till age 80)
  </li>
 </ul>
</div>


Applied Systems

<div>Job Description:
<p>
Applied Systems, Inc., a worldwide leader in insurance technology, is currently searching for a <b>Data Migration Engineer</b> to join our Data Services team. This role is responsible for migrating customer data from competitor and legacy systems into Applied Systems SaaS products while ensuring business continuity, data quality, and customer satisfaction.</p><p></p><p><br>
As a strategic contributor within Data Services, the Data Migration Engineer works closely with new and existing customers to deliver high quality, customized data migration solutions that support unique business needs. The role collaborates cross functionally with teams across Onboarding and Success Services, Development, Operations, Solution Services, and Support to deliver complex, end-to-end migration outcomes.</p><p></p><p><br>
While this role involves taking ownership of assigned tasks and tickets, it operates as part of a global Data Services team leveraging a <i>Follow the Sun</i> delivery model to keep data moving across regions and time zones. Success in this role requires strong attention to detail, adaptability, and the ability to contribute effectively to a broader team-based delivery motion as tools, platforms, and processes continue to evolve.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p><br>
<p></p><ul><li>
Own and execute assigned components of end-to-end data conversion and migration efforts from legacy systems to Applied Systems SaaS products, producing sample and final deliveries using SQL-based tooling</li><li>
Perform data extractions, acquisition mergers, transformations, and data cleanup/quality services to support a wide range of customer scenarios and business requirements</li><li>
Develop standardized, efficient, and repeatable data scripts and workflows; perform audits and validation to ensure data accuracy, integrity, and consistency throughout the migration lifecycle</li><li>
Work directly with customers and internal stakeholders to understand requirements, manage expectations, and deliver migration outcomes that maintain business continuity</li><li>
Contribute to a global delivery model by completing work independently while ensuring smooth handoffs and continuity across teams operating in different regions and time zones</li><li>
Remain adaptable to changing project plans and timelines, adjusting execution approaches as rescheduling or contingency planning is required</li><li>
Collaborate closely with Development teams to support testing, defect resolution, enhancements, and implementation of new or evolving solutions, while maintaining clear and accurate Data Services documentation</li><li>
Conduct ongoing analysis of customer data and competitor system structures, identifying opportunities to improve transformation efficiency and solution quality</li><li>
As Data Services tooling evolves, increasingly leverage cloud-based data platforms such as BigQuery to support migration workflows and downstream integrations</li><li>
Utilize emerging automation and intelligent tooling to improve migration speed, scalability, and quality, and provide feedback that helps shape how these tools are adopted responsibly</li><li>
Contribute to custom solution delivery and continuous improvement initiatives that advance Data Services capabilities, tooling, and processes</li></ul><p><b>
What You&rsquo;ll Need to Succeed</b></p><p></p><p><br>
We&rsquo;re looking for someone who:
</p><ul><li>Can work remotely or from an Applied Systems office
</li></ul><p>Your experience should include some or all the following:
</p><ul><li>Strong foundational knowledge of database structures and SQL, with demonstrated experience applying these skills in real world data migration, integration, or transformation scenarios</li><li>
Solid understanding of ETL concepts, data mapping, and data quality best practices</li><li>
Comfort working in a collaborative, global team environment where work is shared across regions to maintain continuous delivery</li><li>
Ability to manage multiple competing project timelines while remaining highly detail oriented and customer focused</li><li>
Strong sense of ownership and initiative, balanced with the ability to align work to shared team standards, processes, and delivery goals</li><li>
Clear and effective communication skills, including the ability to collaborate comfortably with engineering teams and non‑technical stakeholders</li><li>
Bachelor&rsquo;s degree or equivalent practical experience in Information Systems, Computer Science, Data Science, Software Engineering, or a related discipline<ul><li>
We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply!</li></ul></li></ul><p><b>
Additionally, You May Have</b></p><ul><li>
Hands-on experience supporting SaaS data migration or ETL initiatives in a production environment</li><li>
Experience or exposure to Google Cloud Platform (GCP), including BigQuery and Cloud Storage</li><li>
Experience working with automation frameworks, scripting, or intelligent tools to support data analysis, migration, or quality assurance</li><li>
Interest in helping evaluate, validate, or refine AI assisted or agent-based workflows as part of future data migration capabilities</li><li>
Experience using Jira, SharePoint, or similar tools to track work, collaborate across teams, and document technical processes</li></ul><p></p><div><b><br>
When You Join Team Applied, You Can Expect:</b></div><div></div><div><b><br>
A culture that values who you are </b>and recognizes that you aren&rsquo;t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.</div><div></div><div><b><br>
We flex our time together</b>, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.</div><div></div><div><b><br>
A comprehensive benefits and compensation package </b>that centers our teammates and helps them to bring their best to work every day:</div><div>
Medical, Dental, and Vision Coverage</div><div>
Holiday and Vacation Time</div><div>
Health &amp; Wellness Days</div><div>
A Bonus Day for Your Birthday</div><div><br>
<br>
 Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/</div><div></div><div><b><br>
Our targeted starting base salary in the United States for this position ranges from [$60,000- 90,000 USD]. To determine a new team member&rsquo;s starting pay, we consider a variety of factors, including someone&rsquo;s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.</b></div><div></div><div><b><br>
Your Security Matters:</b><br>
 Our candidates&rsquo; personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.</div><div><br>
</div><div><b>AI Utilization</b></div><div>
We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans.</div><div></div><div><b><br>
EEO Statement</b>
</div><div><i>Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don&rsquo;t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.</i></div><div><br>
</div><div>#LI-Remote</div><div>
#LI-US</div></div><p></p>

Data Migration Engineer

Pure Storage

<div>
 We&rsquo;re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
 <br/>
 <br/>
 This type of work&mdash;work that changes the world&mdash;is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
 <br/>
 <br/>
 <strong>
  THE ROLE&hellip;
  <br/>
  <br/>
 </strong>
 As a Technical Design Architect (Active Cluster &amp; Cloud) (TDA-ACC), you will utilize your strong technical competencies in the field of replication, clustering, cloud offerings as well as data migrations, to provide the highest level of implementation capability and technical consultation to both customers and Pure sales teams to support sales goals. You will work on cross-functional teams including Sales, Product Marketing, Business Development Managers, Services and engineering to scope and help sell Professional Services solutions for homogeneous and heterogeneous solutions to customers/partners.
 <br/>
 <br/>
 You will become intimately acquainted with the customer&rsquo;s/partner&rsquo;s business requirements, technical needs, systems, environment and service history, enabling you to present targeted solutions to our customer base.
 <br/>
 <br/>
 You will build replication, clustering and migration solutions for our customers and will be expected to be a member of the hands-on team delivering these services across EMEA. The role covers pre-sales and delivery functions, and you will be comfortable with performing either role as demand dictates.
 <br/>
 <br/>
 You will possess a thorough understanding of IT architecture, designing solutions, networking and implementation of these solutions and must have significant experience across different replication technologies, clustering, cloud and data migration solutions.
 <br/>
 <br/>
 You will also be experienced in delivering large scale and complex projects utilising all the mentioned offerings and will also be skilled in scripting to enable automation of these processes where appropriate.
 <br/>
 <br/>
 <strong>
  What You'll Do...
  <br/>
  <br/>
 </strong>
 TDAs work with customers, sales teams, engineering and Everpure partners to:
 <br/>
 <br/>
 <ul>
  <li>
   To understand prospect&rsquo;s technical needs related to a specific market or specific product (i.e. block, virtualised, file solutions, clustering, replication best practice, disaster recovery, business contingency).
  </li>
  <li>
   In a post-sales consultative role to support the implementation of the professional services solution that was scoped and subsequently sold.
  </li>
  <li>
   To provide technical consultation/education to the sales teams and keep them apprised on new replication offerings and data migrations solutions.
  </li>
  <li>
   Participate in customer evaluations and proof of concepts on Everpure systems
  </li>
  <li>
   Advise and consult on engineering developments and strategies for replication, clustering and data migrations, ensuring these solutions meet and integrate into our clients DR and BCP best practices.
  </li>
  <li>
   Plan, conduct and direct projects to support sales efforts and address future customer needs
  </li>
  <li>
   Evaluate partner proposals for migration services to ensure they deliver quality and value for money to Everpure.
  </li>
  <li>
   Deliver replication, clustering and migration solutions to our customers, either as a sole resource or member of a team.
  </li>
  <li>
   Develop scripts for both integration of Everpure into a customer&rsquo;s operational environment and the automation of replication, clustering, cloud and data migrations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring To This Role&hellip;
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flash Array experience / Replication technologies (Active Cluster or similar)
  </li>
  <li>
   Amazon AWS, Microsoft Azure and other cloud-based offerings.
  </li>
  <li>
   Data Center Migrations/Consolidations/Toolsets
  </li>
  <li>
   Networking concepts and high-level designs
  </li>
  <li>
   Cirrus Data Solutions Appliance (or Appliance based solutions for migrating block data)
  </li>
  <li>
   Virtualisation Tools - Cisco/Microsoft/VMWare (Cloud solutions)
  </li>
  <li>
   Proven experience of scripting languages such as Perl, Shell, Powershell, Visual Basic, Python.
  </li>
  <li>
   Networking infrastructure (Nexus / ACI / Broadcom / Brocade)
  </li>
  <li>
   Security/Firewalls
  </li>
  <li>
   Other technical platform or infrastructure migration tools such as Logical Volume Manager (LVM), Datadobi, StorageX, Open Replicator.
  </li>
  <li>
   Data Center Migration Implementations for block and file.
  </li>
  <li>
   Multi-vendor server and storage platforms and performance tuning experience.
  </li>
  <li>
   Windows, AIX and Linux Operating systems
  </li>
  <li>
   Hyper-V and VMWare ESX (vRA / SRM)
  </li>
  <li>
   Amazon AWS, Microsoft Azure and other cloud-based offerings.
  </li>
  <li>
   Disaster Recovery, Replication, Backup technologies (Zerto / Veeam / Rubrik / Veritas NBU)
  </li>
  <li>
   Preparation and delivery of technical and architecture solution
  </li>
  <li>
   Contribute significant portions for data migration solutions to RFPs, RFQs and RFIs
  </li>
  <li>
   Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
  </li>
  <li>
   UNIX OS, NFS file systems and UNIX distributed network environment
  </li>
  <li>
   Knowledge of Local Area Networking, Ethernet, TCP/IP and general networking
  </li>
  <li>
   Excellent verbal and written communication skills, any languages are a definite benefit (Arabic)
  </li>
  <li>
   Team leadership skills
  </li>
  <li>
   BS in CS, EE or other technical degree and/or equivalent experience.
  </li>
  <li>
   Experience which demonstrates a significant level of expertise in technical specifications required to sell Everpure products and services is required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Can Expect From Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
  </li>
  <li>
   Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology&trade;, Fortune's Best Workplaces in the Bay Area&trade;, and certified as a Great Place to Work&reg;!
  </li>
  <li>
   Team: We build each other up and set aside ego for the greater good.
   <br/>
   <br/>
  </li>
 </ul>
 And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out purebenefits.com for more information.
 <br/>
 <br/>
 <strong>
  Accommodations And Accessibility
  <br/>
  <br/>
 </strong>
 Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you&rsquo;re invited to an interview.
 <br/>
 <br/>
 <strong>
  Our Commitment To a Strong And Inclusive Team
  <br/>
  <br/>
 </strong>
 We&rsquo;re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn&rsquo;t just accepted but embraced. That&rsquo;s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
 <br/>
 <br/>
 Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
 <br/>
 <br/>
 <strong>
  Join us and bring your best.
  <br/>
  <br/>
 </strong>
 <strong>
  Bring your bold.
  <br/>
  <br/>
 </strong>
 <strong>
  Pure and simple.
  <br/>
  <br/>
 </strong>
</div>


Technical Design Architect

World Business Lenders, LLC

<div>
 <strong>
  About World Business Lenders (www.wbl.com)
  <br/>
  <br/>
 </strong>
 World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.
 <br/>
 <br/>
 Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
 <br/>
 <br/>
 <strong>
  We're looking for someone with strong communication skills in both English, both spoken and written.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Please note that all resumes should be submitted in English.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We are seeking two Data Analysts, one specializing in data engineering &amp; migration, and another focused on data pipeline &amp; automation. Candidates with strengths in either area are encouraged to apply.
  <br/>
  <br/>
 </strong>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors
  </li>
  <li>
   Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Required Education:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is preferred &mdash; but we also highly value equivalent hands-on experience!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4 to 7 years of experience as a Data Engineer
  </li>
  <li>
   We value practical, hands-on expertise that goes beyond just theoretical knowledge
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Background / Industry Experience:
  <br/>
  <br/>
 </strong>
 <strong>
  Required for both roles:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with cloud-based data platforms and environments
  </li>
  <li>
   Strong SQL skills with data modeling experience for data warehouses
  </li>
  <li>
   Strong Python skills (especially notebooks) for building and maintaining data workflows
  </li>
  <li>
   Experience developing and maintaining ETL/ELT processes
  </li>
  <li>
   Experience working with data warehouses used by reporting/business teams
  </li>
  <li>
   Experience using Git/GitHub for version control in collaborative environments
  </li>
  <li>
   Understanding of data engineering best practices:
  </li>
  <li>
   Pipeline orchestration and dependency management
  </li>
  <li>
   Data quality, validation, and monitoring fundamentals
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required for migration-focused role:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on data migration experience:
  </li>
  <li>
   Schema mapping and transformation
  </li>
  <li>
   Data reconciliation and validation (must be strong here)
  </li>
  <li>
   Data quality checks, integrity validation, and issue resolution
  </li>
  <li>
   Backfills and historical data handling
  </li>
  <li>
   Cutover planning and execution
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required for automation-focused role:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience building and maintaining automated data pipelines:
  </li>
  <li>
   Scheduling, orchestration, and failure handling
  </li>
  <li>
   Workflow reliability, monitoring, and repeatability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem
  </li>
  <li>
   Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines
  </li>
  <li>
   Experience with data quality and observability practices:
  </li>
  <li>
   Validation frameworks, alerting, SLAs, monitoring
  </li>
  <li>
   Experience optimizing performance in data environments:
  </li>
  <li>
   Query tuning, partitioning, indexing, cost optimization
  </li>
  <li>
   Familiarity with modern data formats and large-scale processing:
  </li>
  <li>
   Parquet, Delta, incremental processing patterns
  </li>
  <li>
   Experience integrating with external systems:
  </li>
  <li>
   REST APIs, authentication, retries, error handling
  </li>
  <li>
   Exposure to CI/CD practices for data workflows:
  </li>
  <li>
   Git-based deployments, PR workflows, environment promotion
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders
  </li>
  <li>
   Ownership &amp; accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes
  </li>
  <li>
   Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
  </li>
  <li>
   Collaboration: works effectively across engineering, analytics, and business teams
  </li>
  <li>
   Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in SQL, Python, cloud technologies, and data competency
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   USD Base Salary
  </li>
  <li>
   Enjoy Paid Time Off (PTO) after just 6 months of service
  </li>
  <li>
   Full-time opportunity
  </li>
  <li>
   Enjoy the freedom of a completely remote work environment!
  </li>
 </ul>
</div>


Remote - Data Engineering Analyst

<div><p><b>About World Business Lenders </b><b>(www.wbl.com)</b><br>
<br>
World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.</p><p>
Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
</p><p><b>We&rsquo;re looking for someone with strong communication skills in both English, both spoken and written.</b></p><ul><li><b><i>
Please note that all resumes should be submitted in English.</i></b></li></ul><p><b><br>
We are seeking two Data Analysts, one specializing in data engineering &amp; migration, and another focused on data pipeline &amp; automation. Candidates with strengths in either area are encouraged to apply.</b></p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
Improved data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors.</li><li>
Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.</li></ul><br>
<b>
Requirements</b><p><b><br>
Required Education:
</b></p><ul><li>A Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field is preferred &mdash; but we also highly value equivalent hands-on experience!</li></ul><p><b><br>
Required Experience:</b></p><ul><li>
4 to 7 years of experience as a Data Engineer.</li><li>
We value practical, hands-on expertise that goes beyond just theoretical knowledge.</li></ul><p></p><p><b>
Required Background / Industry Experience:</b></p><p><b>
Required for both roles:</b></p><ul><li>
Experience working with cloud-based data platforms and environments</li><li>
Strong SQL skills with data modeling experience for data warehouses</li><li>
Strong Python skills (especially notebooks) for building and maintaining data workflows</li><li>
Experience developing and maintaining ETL/ELT processes</li><li>
Experience working with data warehouses used by reporting/business teams</li><li>
Experience using Git/GitHub for version control in collaborative environments</li><li>
Understanding of data engineering best practices:</li><li>
Pipeline orchestration and dependency management</li><li>
Data quality, validation, and monitoring fundamentals</li></ul><p></p><p><b>
Required for migration-focused role:</b></p><ul><li>
Hands-on data migration experience:</li><li>
Schema mapping and transformation</li><li>
Data reconciliation and validation (must be strong here)</li><li>
Data quality checks, integrity validation, and issue resolution</li><li>
Backfills and historical data handling</li><li>
Cutover planning and execution</li></ul><p></p><p><b>
Required for automation-focused role:</b></p><ul><li>
Experience building and maintaining automated data pipelines:</li><li>
Scheduling, orchestration, and failure handling</li><li>
Workflow reliability, monitoring, and repeatability</li></ul><p></p><p><b>
Preferred:</b></p><ul><li>
Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem</li><li>
Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines</li><li>
Experience with data quality and observability practices:</li><li>
Validation frameworks, alerting, SLAs, monitoring</li><li>
Experience optimizing performance in data environments:</li><li>
Query tuning, partitioning, indexing, cost optimization</li><li>
Familiarity with modern data formats and large-scale processing:</li><li>
Parquet, Delta, incremental processing patterns</li><li>
Experience integrating with external systems:</li><li>
REST APIs, authentication, retries, error handling</li><li>
Exposure to CI/CD practices for data workflows:</li><li>
Git-based deployments, PR workflows, environment promotion</li></ul><p><b><br>
Key Soft Skills:</b></p><ul><li>
Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.</li><li>
Ownership &amp; accountability: takes end-to-end responsibility for pipelines, data quality, and outcomes.</li><li>
Problem-solving mindset: able to debug complex data issues and work through ambiguity independently.
</li><li>Collaboration: works effectively across engineering, analytics, and business teams.</li><li>
Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools).</li></ul><p><b><br>
Technical Skills:</b></p><ul><li>
Proficiency in SQL, Python, cloud technologies, and data competency.</li></ul><br>
<b>
Benefits</b><br>
<p></p><ul><li>
USD Base Salary.</li><li>
Enjoy Paid Time Off (PTO) after just 6 months of service.</li><li>
Full-time opportunity.</li><li>
Enjoy the freedom of a completely remote work environment!</li></ul></div><p></p>

<div>Job Description:
<div><b>
Amazing Career Moments Happen Here</b></div><div>
Transforming the insurance industry is ambitious, we know. That&rsquo;s why at Applied, we&rsquo;re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers &ndash; all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we&rsquo;re not just redefining what&rsquo;s achievable, we&rsquo;re creating a place where amazing career moments are made possible.</div><div></div><div><b><br>
Position Overview</b></div><div>
We&rsquo;re searching for a Customer Implementation Specialist - Data Migration, to join our Onboarding &amp; Success team in a remote location. To keep us headed in the right direction, we&rsquo;re looking for people who understand winning is a team sport, who value and seek to learn from our team&rsquo;s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.</div><div></div><div><b><br>
What You&rsquo;ll Do</b></div><ul><li>
Act as main liaison between client and data services execution team, offering frequent project status updates to all stakeholders
</li><li>Oversee increasingly complex data conversion projects, often involving multiple source systems</li><li>
Conduct customer training in preparation for data migration tasks</li><li>
Develop and update customer-specific data migration playbooks to guide system migrations</li><li>
Manage customer expectations and effectively communicate sensitive/difficult information to all involved parties</li><li>
Ensure on-time delivery of high-quality data conversion deliverables as per project plans</li><li>
Take charge of data conversion change requests; lead data review sessions and guide clients on issue prioritization and resolution</li><li>
Review data samples to confirm high-quality delivery from Applied to Client</li><li>
Establish and adhere to consistent processes, methodologies, tools, and deliverables for successful client project completion</li></ul><div></div><div><b><br>
We&rsquo;re Excited to Learn More About You</b></div><div>
Your experience may include:
</div><ul><li>Demonstrated communication, analytical and problem-solving skills to develop creative solutions</li><li>
Experience or interest in data conversions
</li><li>Experience working with projects that require a high attention to detail</li><li>
Bachelor&rsquo;s degree or equivalent work experience in the areas of insurance and/or technology</li><li>
Knowledge or use of Applied Systems products and services</li></ul><div></div><div><br>
You may have other skills or credentials, including:</div><ul><li>
Bachelor&rsquo;s degree or equivalent work experience in the areas of insurance and/or technology</li><li>
Knowledge or use of Applied Systems products and services</li></ul><p></p><div><br>
We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply!</div><div></div><div><b><br>
When You Join Team Applied, You Can Expect:</b></div><div>
A culture that values who you are and recognizes that you aren&rsquo;t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.</div><div></div><div><br>
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.</div><div></div><div><br>
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:</div><div>
o Medical, Dental, and Vision Coverage</div><div>
o Holiday and Vacation Time</div><div>
o Health &amp; Wellness Days</div><div>
o A Bonus Day for Your Birthday</div><div></div><div><br>
Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/</div><div></div><div><br>
Our targeted starting base salary in the United States for this position ranges from $55,000 &ndash; $75,000. To determine a new team member&rsquo;s starting pay, we consider a variety of factors, including someone&rsquo;s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission.</div><div></div><div><b><br>
Your Security Matters:</b>
</div><div>Our candidates&rsquo; personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers.</div><div></div><div><b><br>
AI Utilization</b></div><div>
We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans.</div><div></div><div><b><br>
EEO Statement</b></div><div>
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don&rsquo;t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.</div><div></div><div><br>
#LI-Remote</div><div>
#LI-US</div></div>

Customer Implementation Specialist, Data Migration

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