data migration specialist

CodeNinja

<div>About CodeNinja
CodeNinja 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.
Role Purpose
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.
Key Responsibilities<ul><li>Conduct comprehensive assessment of legacy data sources:</li></ul>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs<ul><li>Identify:</li></ul>
o Data quality issues (duplicates, missing, inconsistencies)
o Data ownership and governance gaps
o Redundant/siloed datasets<ul><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></ul>
o Migration approach (phased, module-wise, or big-bang)
o Data prioritization (master data vs transactional vs historical)<ul><li>Develop Data Mapping Specifications:</li></ul>
o Legacy ERP field-level mappings
o Transformation rules and standardization logic
o Handling of missing/invalid data<ul><li>Define Data Cleansing &amp; Preparation Plan:</li></ul>
o Deduplication rules
o Data enrichment where required
o Validation checkpoints before migration<ul><li>Design Migration Execution Plan:</li></ul>
o Migration cycles (mock runs, dry runs, final cutover)
o Rollback strategy in case of failure
o Downtime and cutover planning<ul><li>Define Data Validation &amp; Reconciliation Framework:</li></ul>
o Pre-migration vs post-migration validation rules
o Reconciliation reports (counts, totals, relationships)
o Sign-off criteria for each module<ul><li>Produce key deliverables:</li></ul>
o Data Migration Plan
o Data Mapping Documents
o Data Validation &amp; Reconciliation Reports<ul><li>Identify and enable AI/ML use cases, such as:</li></ul>
o Predictive maintenance modeling
o Inventory demand forecasting
o Supplier performance analytics<ul><li>Leverage AI tools for:</li></ul>
o Data profiling and anomaly detection
o Data quality assessment and cleansing recommendations
o Advanced analytics and insights generation<ul><li>Define enterprise conceptual data model:</li></ul>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs<ul><li>Establish:</li></ul>
o Entity relationships
o Master data definitions
o Data standardization rules<ul><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</li></ul> 
Requirements 
3. Required Skills &amp; Experience
Mandatory<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></ul>
o Data modelling (conceptual &amp; logical)
o Data migration and cleansing
o Data warehousing and reporting
Technical Expertise<ul><li>Strong knowledge of:</li></ul>
o ETL processes and migration tools
o SQL and relational databases
o API-based integrations<ul><li>Experience with BI tools (Power BI, Tableau)</li></ul>
Preferred<ul><li>Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)</li><li>Exposure to:</li></ul>
o Maintenance (MRO) data
o Inventory systems
o Technical documentation repositories<ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul>
o Data analysis and prediction tools
o AI-assisted data modeling or profiling tools<ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul>
Why Join CodeNinja?<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</li></ul>
Equal Opportunity Statement
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. 
Benefits 
<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 Modeling Engineer

World Business Lenders, LLC

<div>About World Business Lenders (www.wbl.com) 
 
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.
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.
We&rsquo;re looking for someone with strong communication skills in both English, both spoken and written.<ul><li>
Please note that all resumes should be submitted in English.</li></ul> 
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.
Key Responsibilities:<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> 

Requirements 
Required Education:
<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> 
Required Experience:<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>
Required Background / Industry Experience:
Required for both roles:<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>
Required for migration-focused role:<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>
Required for automation-focused role:<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>
Preferred:<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> 
Key Soft Skills:<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> 
Technical Skills:<ul><li>
Proficiency in SQL, Python, cloud technologies, and data competency.</li></ul> 

Benefits 
<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

Emergent Method

<div>Emergent Method is seeking a qualified Business Analyst to support an IT project for a state government agency. This is a full-time position based in Baton Rouge, LA, that will support an active system development effort. Local candidates with the ability to maintain an onsite working presence are preferred, though remote candidates will be considered and are encouraged to apply. 
 
The ideal candidate is experienced, self-motivated, and adept in handling a wide range of business analysis and data-related tasks. This individual must be adaptable, detail-oriented, and comfortable working in a fast-paced, dynamic project environment. 
 
Key responsibilities include, but are not limited to, the following:<ul><li>
Serve as a support resource for data migration and conversion activities</li><li>
Document business processes and requirements around data conversion approaches</li><li>
Translate business requirements into functional and technical designs, including implementing stories and process flows</li><li>
Conduct data analysis and profiling to ensure accuracy and consistency in data migration efforts</li><li>
Create and execute complex SQL queries to assist with technical design, data cleansing, and resolution of bugs/defects</li><li>
Work closely with technical teams to ensure requirements align with data conversion strategies</li><li>
Recommend eliminating, retaining, or enhancing business processes and document results</li><li>
Collaborate with source systems, data analysts, and modelers to build scalable data solutions</li><li>
Analyze source data and perform gap analysis, source-to-target mappings, and data integration design</li><li>
Provide support for user acceptance testing (UAT) and IT application testing related to data migration</li></ul>
Minimum qualifications include:<ul><li>
Bachelor&rsquo;s degree in business, computer science, information systems, or a related field</li><li>
At least four (4) years of experience in data migration, cleansing, and conversion projects</li><li>
At least three (3) years of experience in data analysis using SQL queries</li><li>
Experience translating business requirements into functional and technical designs</li><li>
Ability to create complex SQL queries</li><li>
Experience working with system-testing tools such as Jira</li><li>
Excellent verbal, written, and interpersonal communication skills</li><li>
Strong analytical, problem-solving, and interpersonal skills</li><li>
Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment</li></ul>
Background 
Emergent Method is a nationally recognized management consulting firm focused on developing and implementing plans, programs, and initiatives that result in transformative impact. We are focused on strengthening the skills, capacity, and resources of our clients to support them in creating unique and valuable experiences for their stakeholders. 
 
With an uncommonly high degree of ownership in the work we do, our team thrives on solving complex challenges, delivering solutions built to last, and driving transformational growth. 
 
We work from the inside out &mdash; fully engaged with our client teams and invested in their success. Their most pressing challenges and opportunities become our own. Our flexible, adaptable approach allows us to work seamlessly as trusted advisers, embedded team members, or both, to support client needs, using every engagement as an opportunity to deliver powerful results, together. 
 
Our expertise travels well to all markets and benefits all sectors, allowing us to work wherever there&rsquo;s a good client fit. Our consultants have significant experience working across a wide range of industries and in the private, public, and nonprofit sectors. We successfully work within the bounds of both large-scale projects that may span years as well as short-term, time-sensitive efforts. 
 
Our integrated, interdisciplinary team of consultants brings an expansive range of skillsets and experience to power a broad scope of services and solutions. Whether you are looking to develop or implement a new strategy, brand, marketing or communication campaign, IT system, program, or a unique and innovative project, we stand ready to be your partner. 
 
For more information, visit emergentmethod.com. 
 
Emergent Method and associated entities are equal opportunity employers. We do not discriminate against employees or applicants for employment on any legally recognized basis or any protected class under federal, state, or local law.
dvYj5lw14w</div>

Business Analyst

Accenture

<div>Accenture Technology: 
Through unmatched industry experience, leading-edge technologies, and a global delivery network, Accenture helps organizations accelerate innovation and drive meaningful transformation. By combining data, intelligence, and advanced engineering capabilities, we enable our clients to build scalable, high‑quality data solutions that power business decisions and operational excellence. Visit us at www.accenture.com.
The Work: 
As a Data Engineer, you will be responsible for designing, building, and maintaining robust data solutions that support data generation, collection, migration, and processing across enterprise systems. You will play a key role in developing scalable data pipelines, ensuring data quality, and implementing ETL processes to enable reliable data movement and analytics. This role requires strong technical expertise, ownership of team decisions, and close collaboration with multiple stakeholders to deliver impactful, cross‑team solutions.
Responsibilities:<ul><li>
Design, develop, and maintain end-to-end data pipelines to support data ingestion, transformation, and deployment across systems.</li><li>
Implement and manage ETL processes to ensure efficient and reliable data migration and processing.</li><li>
Ensure high standards of data quality, consistency, and integrity through continuous monitoring and optimization.</li><li>
Act as a subject matter expert, providing technical guidance and contributing to key architectural and design decisions.</li><li>
Collaborate with cross-functional teams to identify data requirements and deliver effective, scalable data solutions.</li><li>
Lead and support the team to ensure effective execution, timely delivery, and alignment with business objectives.</li><li>
Develop innovative data solutions that improve operational efficiency and enable data-driven decision-making.</li><li>
Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.</li><li>
Conduct regular data quality assessments and implement continuous improvements.</li><li>
Stay current with industry trends, emerging technologies, and best practices in data engineering.</li></ul></div>
 
<div>Qualifications:<ul><li>
minimum 10 Years of experience.</li><li>
Master proficiency in Oracle Data Integrator (ODI) is required.</li><li>
Master proficiency in Data Migrations is highly recommended.</li><li>
Expert proficiency in Data Engineering, Data Pipelines, Data Processing, and Data Access is strongly preferred.</li><li>
Strong analytical, problem-solving, and collaboration skills, with the ability to work across multiple teams.</li></ul></div>

Oracle Data Conversion Manager

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers Fly Better.
Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we&rsquo;re always at the forefront, pushing boundaries. We are seeking an experienced Principal Software Engineer &ndash; ERP Cloud Data Migration to design, implement, and operate resilient data migration strategies using cloud and hybrid capabilities as part of a major Cloud ERP transformation and its ongoing service operations. 
 
This is a 36-month fixed-term contract based in Dubai, with 5 days per week in the office .
As Principal Software Engineer &ndash; ERP Cloud Data Migration, you will take end to end accountability for defining and governing the end to end data migration strategy across multiple source systems and entities, ensuring data accuracy, control, and business continuity during the transition to a single global ERP platform. You will engage with internal and external stakeholders, lead technical design reviews, and ensure production grade migration outcomes aligned to corporate standards and technology strategy.
In this role, you will:
<ul><li>Lead the technical design, development and deployment of complex software solutions across teams. Carry out effective technical design reviews to ensure that the right architecture patterns are used by engineering teams.
</li><li>Champion development of best engineering practices and modernization techniques including process automation, lean software development, built-in-quality, test driven development, agile practices, optimal pairing strategies and timely root cause analysis and blameless incident post-mortems. Support defining and refining the software engineering playbooks for use by relevant people in Technology.
</li><li>Provide technical leadership and partner with cross-functional teams during discovery phase and in the development of high level design of medium to large projects.
</li><li>Drive proof-of-concepts and implement prototypes to validate ideas. Investigate, debug and fix complex issues involving corner cases and rare conditions.
</li><li>Identify and develop framework, tools and practices to improve delivery quality of technology solutions and productivity of engineers.
</li><li>Responsible for the measurement and monitoring of engineering metrics that enable agility, scalability, data quality and reliability of technology solutions across the enterprise.
</li><li>Contribute to the creation of world class engineering practices, play books and artefacts required to drive technical career of software engineers in line with the software engineering strategy.
</li><li>Support and guide the team of engineers in working autonomously in multi-disciplinary release trains.
</li><li>Ensure optimal use of enterprise application platforms, tools and libraries in line with the approved technology architecture and associated Software Vendors.
</li><li>Maintain a thorough understanding of interdependences and limitations within assigned technology area and solution operational context.
</li><li>Provide leadership, guidance and ongoing engagement with technical teams in the effective technical documentation of developed software.
</li><li>Manage multiple assigned teams, with accountability for hiring top talent, define development goals, manage performance, mentor and coach.
</li><li>Guide and support software engineering team definition decisions and staff movements according to program requirements, staff capability and development.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Degree or Honours (12+3 or equivalent) in Computer Science, Engineering, Information Systems, or a related discipline.
</li><li>8+ years of experience in Information Technology, including engineering and operating enterprise‑grade cloud and/or hybrid infrastructure in a 24/7 environment.
</li><li>Ability to define and own an end to end data migration strategy for large scale ERP consolidation programmes.
</li><li>Strong experience implementing and executing migration architectures covering extraction, transformation, validation, loading, and reconciliation.
</li><li>Expertise in phased migration approaches (trial loads, dress rehearsals, cutover loads) across multiple deliveries and waves.
</li><li>Deep understanding of enterprise data domains, including Master data, Transactional data and Reference/Configuration data.
</li><li>Experience in establishing data quality standards and acceptance criteria for migration.
</li><li>Experience driving data cleansing, de duplication, enrichment, and standardisation across entities.
</li><li>Experience designing repeatable, automated migration pipelines for trial and production loads.
</li><li>Ability to build reconciliation, validation, and control reports to prove completeness and accuracy.
</li><li>Understanding of performance tuning and volume handling for large data sets during migration windows.
</li><li>Experience defining fallback, rollback, and contingency strategies.
</li><li>Ability to manage entity specific constraints while enforcing global standards.
</li><li>Experience in stakeholder management with global business teams, finance, and local IT.
</li><li>Ability to challenge vendor assumptions and validate migration approaches independently.
</li></ul>Leadership Role: Yes.
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in a management role and enjoy an attractive tax‑free salary, along with travel benefits that are exclusive to our industry, including discounted flights and hotel stays around the world. This role also offers an excellent leave and healthcare package, transport benefits, life insurance, and more.
Discover what it&rsquo;s like to live and work in our fast‑paced, cosmopolitan home city in the Dubai Lifestyle section of our careers website: www.emirates.com/careers</div>

Principal Software Engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; Oracle Cloud Data Migration Consultant
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Jeddah, Saudi Arabia
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us :
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Lead
 
 data extraction, mapping, transformation, and validation
 
 activities.
 </li>
 <li>
 Build and execute migration loads using
 
 FBDI, ADFDi, HDL (for HCM), REST APIs
 
 .
 </li>
 <li>
 Develop data templates, mapping sheets, and cleansing guidelines for business users.
 </li>
 <li>
 Coordinate with functional, technical, and business teams for data requirements and approvals.
 </li>
 <li>
 Perform
 
 mock loads, reconciliations
 
 , and support cutover and post‑go‑live activities.
 </li>
 <li>
 Troubleshoot data load errors and ensure successful, auditable migrations.
 </li>
 </ul>
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Strong hands‑on experience with
 
 FBDI, ADFDi, HDL, REST APIs
 
 , and Fusion data models.
 </li>
 <li>
 Good SQL skills and understanding of Oracle Cloud module data structures.
 </li>
 <li>
 Experience with
 
 data validation, reconciliation
 
 , and large‑volume migration cycles.
 </li>
 <li>
 Excellent communication and strong collaboration with business &amp; functional teams.
 </li>
 </ul>
 
 
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline:
 
 15- May -2026
 
 
 
 
 
 
 Privacy Notice:
 
 
 
 https://ibegin.tcs.com/iBegin/privacy-notice
 
</div>

Oracle Cloud Data Migration Consultant

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