data engineer

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to be at the center of GDIT&rsquo;s business operations. Make an impact by collaborating across functions to make mission success achievable.</p><p>
Job Description</p><div><p>
Own your opportunity to turn data into measurable outcomes for our customers&rsquo; most complex challenges. As a Data Engineer at GDIT, you&rsquo;ll power innovation to drive mission impact and grow your expertise to power your career forward. We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions (e.g., Growth, Finance, HR, Legal, and Supply Chain). We are looking for a highly skilled Data Engineer (Agentic AI) who shares a passion for delivering data engineering for agentic AI applications and building an AI-first data ecosystem foundational to enterprise AI transformation.<br>
<br>
MEANINGFUL WORK AND PERSONAL IMPACT:</p><ul><li>
Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases</li><li>
Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data</li><li>
Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents</li><li>
Implement data quality, observability, and governance best practices across data pipelines and products</li><li>
Optimize performance and cost across storage, compute, orchestration, and serving layers</li><li>
Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions</li></ul><p></p><p>
WHAT YOU&rsquo;LL NEED TO SUCCEED<br>
Bring your expertise and drive for innovation to GDIT. The Data Engineer must have:</p><ul><li>
Education: Bachelor&rsquo;s degree in Computer Science/Engineering, Data Science, or a related field</li><li>
Experience: 5+ years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance</li><li>
Role requirements:<ul><li>
Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL).</li><li>
Strong collaboration and communication skills in cross-functional enterprise environments.</li></ul></li><li>
Preferred Skills and Abilities:
<ul><li>Master&rsquo;s degree in Computer Science/Engineering, Data Science, or a related field. Relevant certifications in Data Engineering, AI, or Cloud.</li><li>
Experience delivering data engineering for agentic AI applications.</li><li>
Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search).</li><li>
Familiarity with agent workflows and how agents interact with data services and tools in production. Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS.</li><li>
Experience in real-time streaming applications or other high-velocity solutions.</li><li>
Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation.</li></ul></li><li>
Location: Remote</li><li>
US Persons required</li></ul><p><br>
GDIT IS YOUR PLACE<br>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.</p><ul><li>
Growth: AI-powered career tool that identifies career steps and learning opportunities</li><li>
Support: An internal mobility team focused on helping you achieve your career goals</li><li>
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</li><li>
Flexibility: Full-flex work week to own your priorities at work and at home</li><li>
Community: Award-winning culture of innovation and a military-friendly workplace</li></ul><p><br>
OWN YOUR OPPORTUNITY<br>
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.</p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
5 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
10-25%</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $119,000 - $161,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Data Engineer

Ragle Inc

<div>
 <p>
  <strong>
   Data Engineer
   <em>
    (2-3 Years Experience)
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  North Richland Hills, TX
  <em>
   (On-site)
  </em>
 </p>
 <p>
  <strong>
   Salary Range:
  </strong>
  $90,000&ndash;$110,000
  <em>
   (based on experience)
  </em>
 </p>
 <p>
  <strong>
   Company:
  </strong>
  Ragle Inc.
 </p>
 <p>
  <strong>
   Reports to:
  </strong>
  Data &amp; Analytics Lead
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  Ragle Inc. is expanding its Data &amp; Analytics team and is seeking a hands-on
  <strong>
   Data Engineer
  </strong>
  with 2&ndash;3 years of industry experience to help centralize and modernize operational, accounting, and project data.
 </p>
 <p>
  <br/>
 </p>
 <p>
  In this role, you will design and operate
  <strong>
   production-grade data pipelines
  </strong>
  that connect our in-house platform, accounting systems, telematics, scheduling, estimating tools, Smartsheet, and third-party APIs. These pipelines will power analytics used daily by
  <strong>
   Operations, Accounting, Estimating, and Executive Leadership
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain reliable data pipelines using
   <strong>
    SQL and Python
   </strong>
  </li>
  <li>
   Ingest data from
   <strong>
    Azure SQL databases
   </strong>
   , third-party APIs, and structured file sources (CSV/Excel)
  </li>
  <li>
   Help establish and maintain a centralized analytics data model (fact and dimension tables)
  </li>
  <li>
   Partner with analysts to support
   <strong>
    Power BI semantic models
   </strong>
   and improve dataset performance
  </li>
  <li>
   Implement data quality checks, logging, monitoring, and alerting
  </li>
  <li>
   Collaborate with business stakeholders to translate workflows into robust data products
  </li>
  <li>
   Contribute to version control, deployment, and data engineering standards (Git, environments)
  </li>
  <li>
   Support migrations away from manual Excel workflows toward automated, governed datasets
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data
  </li>
  <li>
   Optimize SQL queries, views, and table structures for analytics performance and incremental loads
  </li>
  <li>
   Maintain documentation for pipelines, datasets, schemas, and data contracts
  </li>
  <li>
   Assist with access control, governance, and data security best practices
  </li>
  <li>
   Troubleshoot refresh failures and performance bottlenecks across the data stack
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   2&ndash;3 years of professional experience as a
   <strong>
    Data Engineer or Analytics Engineer
   </strong>
  </li>
  <li>
   Strong SQL skills (complex joins, CTEs, window functions, performance tuning)
  </li>
  <li>
   Hands-on Python experience for data processing (pandas, standard libraries)
  </li>
  <li>
   Experience with relational databases (SQL Server / Azure SQL, Postgres, or similar)
  </li>
  <li>
   Experience building and maintaining production data pipelines
  </li>
  <li>
   Understanding of data modeling concepts (star schema, keys, SCD basics)
  </li>
  <li>
   Familiarity with
   <strong>
    Power BI
   </strong>
   or similar BI tools
  </li>
  <li>
   Comfortable working directly with business stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines)
  </li>
  <li>
   REST API ingestion experience
  </li>
  <li>
   ERP or operational systems integration exposure
  </li>
  <li>
   Git-based workflows and basic CI/CD
  </li>
  <li>
   Construction or asset-heavy industry experience
  </li>
  <li>
   Desire to grow into
   <strong>
    Senior Data Engineer or Analytics Lead
   </strong>
   roles
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Success Looks Like
  </strong>
 </p>
 <ul>
  <li>
   Stable, documented, and trusted data pipelines
  </li>
  <li>
   Reusable datasets replacing manual Excel workflows
  </li>
  <li>
   Analytics relied upon for daily decision-making
  </li>
  <li>
   Smooth onboarding of new systems and data sources
  </li>
  <li>
   A scalable data platform supporting company growth
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Ragle Inc.
  </strong>
 </p>
 <ul>
  <li>
   Real operational data with direct business impact
  </li>
  <li>
   High ownership and production responsibility
  </li>
  <li>
   Small team with leadership visibility
  </li>
  <li>
   Professional development and certification support
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation &amp; Benefits
  </strong>
 </p>
 <p>
  Competitive salary (
  <strong>
   $90,000&ndash;$110,000
  </strong>
  based on experience), plus
  <strong>
   health, dental, and vision insurance
  </strong>
  ,
  <strong>
   paid time off and holidays
  </strong>
  , and
  <strong>
   professional development support
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional Information
  </strong>
 </p>
 <p>
  Ragle Inc. conducts
  <strong>
   professional reference checks
  </strong>
  as part of our standard hiring process.
 </p>
 <p>
  Ragle Inc. is an
  <strong>
   Equal Opportunity Employer
  </strong>
  . We are committed to creating a diverse and inclusive workplace and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status in accordance with applicable laws.
 </p>
</div>


Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li> Design, develop, and maintain PostgreSQL databases and data pipelines on AWS to support microservice-based applications.
</li></ul><ul><li> Design and develop scalable, efficient data models aligned with the microservice-based System of Record (SOR) architecture.
</li></ul><ul><li> Collaborate with Java microservice developers to integrate database solutions efficiently with application services.
</li></ul><ul><li> Build and optimize ETL/ELT workflows for data ingestion, transformation, and storage using AWS services and custom scripts.
</li></ul><ul><li> Tune PostgreSQL databases for performance, scalability, and reliability in a microservices environment.
</li></ul><ul><li> Develop and maintain database schemas, stored procedures, and complex SQL queries aligned with application needs.
</li></ul><ul><li> Automate database provisioning, schema migrations, backups, and monitoring using AWS tools and infrastructure as code (CloudFormation, Terraform).
</li></ul><ul><li> Implement data modeling best practices to support analytics, reporting, and application functionality.
</li></ul><ul><li> Ensure data security, integrity, and compliance with organizational policies and cloud security standards.
</li></ul><ul><li> Troubleshoot and resolve database and data pipeline issues in development, staging, and production environments.
</li></ul><ul><li> Participate in designing and implementing disaster recovery and high availability strategies for critical data systems.
</li></ul><ul><li> Lead or support Salesforce to PostgreSQL (Aurora PostgreSQL) data migration projects, ensuring data accuracy and integrity.
</li></ul><ul><li> Stay current with PostgreSQL, AWS data services, Java microservices frameworks, and industry best practices.
</li></ul><ul><li> Experience with Salesforce data structures and migration tools (e.g., Salesforce Data Loader, APIs).
</li></ul><ul><li> AWS Certified Data Analytics &ndash; Specialty, AWS Certified Database &ndash; Specialty, or AWS Certified Developer &ndash; Associate.
</li></ul><ul><li> Experience with containerization and orchestration tools such as Docker and Kubernetes.
</li></ul><ul><li> Familiarity with streaming data platforms like Kafka or AWS Kinesis.
</li></ul><ul><li> Knowledge of CI/CD pipelines and DevOps practices.
</li></ul><ul><li> Experience with monitoring and logging tools such as CloudWatch, Prometheus, or Grafana.
</li></ul><div>Roles &amp; responsibilities
</div><ul><li> Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
</li></ul><ul><li> Proven experience as a Data Engineer, Database Engineer, or Backend Developer with PostgreSQL expertise.
</li></ul><ul><li> Strong proficiency in PostgreSQL database design, query optimization, and performance tuning.
</li></ul><ul><li> Hands-on experience with AWS services such as Amazon RDS (PostgreSQL), Aurora PostgreSQL, S3, Lambda, Glue, and Redshift.
</li></ul><ul><li> Solid ex perience in Java microservice development using frameworks like Spring Boot or similar.
</li></ul><ul><li> Proficiency in SQL and experience writing complex queries, stored procedures, and functions.
</li></ul><ul><li> Experience building and maintaining ETL/ELT pipelines using Python, Airflow, AWS Glue, or similar tools.
</li></ul><ul><li> Familiarity with infrastructure as code tools like CloudFormation or Terraform for automation.
</li></ul><ul><li> Strong scripting skills (Python, Bash) for automation and data processing.
</li></ul><ul><li> Understanding of cloud security best practices and data governance.
</li></ul><ul><li> Excellent problem-solving skills and ability to work collaboratively in agile, cross-functional teams.</li></ul><div></div><div><br>
</div><div></div><br>
<div>Salary Range: $130,000 to $150,000 per year
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Plano, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>400836</div>
</div><div><div><b>Desired Skills</b></div>
<div>PostgreSQL</div>
</div><div><div><b>Salary Range</b></div>
<div>$130,000-$150,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Lloyds Technology Centre

<div></div><div><div>End Date</div>
Sunday 22 March 2026<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
We are looking for an engineer with strong hands‑on experience in Google Cloud Platform, SQL, and both relational and non‑relational databases, with solid knowledge of Git and Agile methodologies. The role also benefits from expertise in Python, unit testing, Kafka streaming, dbt, and CI/CD pipelines. GCP Professional Data Engineer certification is an added advantage.<div></div><div>
Job Description</div><div><div><div>
Experience: 7 - 12 years</div><div>
Location: Hyderabad</div><div>
If you think all banks are the same, you&rsquo;d be wrong! We&rsquo;re an innovative, constantly evolving business that&rsquo;s shaping finance as a force for good. A bank that&rsquo;s empowering its people to innovate, explore possibilities and grow with purpose.</div></div><div><div>
Lloyds Banking Group is rapidly becoming digital-first, leading in the UK with over 12 million online and almost 8 million mobile banking customers. There's a big opportunity here for you to join our Front-end Engineering team and take part in this transformation. As an experienced team member, show your strong software skills and mentor junior members. You'll thrive in a flexible, collaborative setting where your work on web, mobile, and tablet apps directly impacts millions every day. We're offering great growth opportunities, but it requires you to take initiative, build relationships, and make things happen. Your efforts can positively affect our customers, colleagues and communities.</div></div><div></div><div><div><br>
What we're looking for:</div></div><div><div>
The overall vision within the Client Servicing &amp; Engagement Platform is to promote value for our customers and colleagues. Our team is looking for an experienced Data Engineer.</div></div><div></div><div><div><br>
Important Skills:</div><div></div><div><div><div>
Cloud Computing: P1</div></div><div><ul><li><div>
GCP Services: Familiarity with GCP services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub for data handling and analysis</div></li></ul></div><div><ul><li><div>
Data Integration: Ability to integrate data from various GCP sources using tools like BigQuery external tables and federated queries</div></li></ul></div></div><div><div><ul><li><div>
Security and Compliance: Understanding of data security practices, including encryption and access controls</div></li></ul></div><div><ul><li><div>
Azure Services: Proficiency in Azure services like Azure Data Factory, Azure Functions and Azure Blob Storage</div></li></ul></div></div></div><div></div><div><div><div>
Data Engineering: P2</div></div><div><ul><li><div>
ETL Processes: Proficiency in Extract, Transform, Load (ETL) processes to handle data ingestion, transformation, and loading</div></li></ul></div><div><ul><li><div>
Big Data Technologies: Experience with tools like Hadoop, Spark, and Hive for processing large datasets</div></li></ul></div><div><ul><li><div>
Database Management: Knowledge of SQL and NoSQL databases, including optimization and performance tuning</div></li></ul></div><div>
Kafka: P3</div></div><div><ul><li><div>
Apache Kafka: Deep understanding of Apache Kafka, including its architecture, components, and data streaming capabilities</div></li></ul></div><div><ul><li><div>
Distributed Systems: Knowledge of distributed systems principles, such as data replication, partitioning, and fault tolerance</div></li></ul></div><div><ul><li><div>
Programming: Proficiency in Java for writing custom producers, consumers, and connectors</div></li></ul><div></div><div>
Additional Skills:</div></div><div><div>
Microsoft Dynamics: 3</div></div><div><ul><li><div>
Dynamics 365: Proficiency in Dynamics 365 for managing customer data and business processes.</div></li></ul></div><div><ul><li><div>
Integration: Experience integrating Dynamics with other data sources and platforms, including GCP.</div></li></ul></div><div><div>
Analytical Skills</div></div><div><ul><li><div>
Data Analysis: Ability to analyse and interpret data to provide actionable insights.</div></li></ul></div><div><ul><li><div>
Problem-Solving: Strong problem-solving skills to address data-related challenges.</div></li></ul></div><div><div>
Soft Skills</div></div><div><ul><li><div>
Collaboration: Effective communication and collaboration with data scientists, analysts, and other stakeholders</div></li></ul></div><div><ul><li><div>
Continuous Learning: Staying updated with the latest trends and technologies in data engineering and cloud computing</div></li></ul></div><div></div><div><div><br>
What will you get in return?</div></div><div><div>
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We</div></div><div><div>
were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated working with cancel initiative. And it's why we especially welcome applications from underrepresented groups. We're disability confident. So, if you'd like reasonable adjustments to be made to our recruitment processes, just let us know.</div></div><div><div>
We're passionate about creating a values-led culture, and our approach to inclusion and diversity means that we all have the chance to create a real difference, together.</div></div><div><div>
This role offers an outstanding opportunity to work on a multifaceted and evolving subject matter, and we can't wait to meet you.</div></div></div><div></div><div><div><br>
Flexible Working Options</div></div><div><div>
Hybrid Working - We support flexible working and encourage 40% per week in the office and the rest from home.</div></div></div>

Zones

<div><p><b>Description</b><br>
</p><br>
<br>
<p>Company Overview:</p><p>
When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM</p><p>
Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.</p><p></p><p><br>
Position Overview</p><p>
The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.</p><p></p><p><br>
What you&rsquo;ll do as the Data Engineer:</p><p>
Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.</p><p>
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.</p><p></p><p><br>
Key Responsibilities</p><ul><li>
Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.<br>
</li><li>
Develop transformation workflows in Azure Databricks.<br>
</li><li>
Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.<br>
</li><li>
Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.<br>
</li><li>
Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.<br>
</li><li>
Ensure data security and governance, including PII handling, access policies, and Key Vault.<br>
</li><li>
Collaborate with application and integration engineers on API-driven and event-driven data
<br>
requirements.<br>
</li><li>
Support Power BI at a basic level (datasets, model optimization, refresh schedules)</li></ul><p></p><p><br>
What you will bring to the team:</p><ul><li>
Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.<br>
</li><li>
Strong expertise in:<ul><li>
Azure Data Factory (ADF)</li><li>
Azure Databricks</li><li>
Azure SQL<br>
</li></ul></li><li>
Solid understanding of ETL/ELT patterns, data modeling, and orchestration.<br>
</li><li>
Comfortable integrating with APIs, Logic Apps, and Function Apps.<br>
</li><li>
Working knowledge of Power BI datasets and refresh management.<br>
</li><li>
Clear communication skills and the ability to work independently and cross-functionally.</li></ul><p></p><p><br>
Zones offers a comprehensive Benefits package</p><p>
At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.</p><p>
We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.</p><p>
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.</p><p>
Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)</p><p>
#LI-SY1</p></div>

Al-Futtaim

<div><p><b>Job Requisition ID: </b>176818</p>
<p>Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.</p>
<p>By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.</p><p></p><p><br>
<b>
Overview Of The Role:</b></p>
<p>
The Data Engineer is responsible for turning complex data from SAP and non-SAP sources into valuable business insights. This role involves participating in requirement assessments, implementing high-quality data solutions, and supporting various business needs. Success entails effective collaboration with product and development teams to deliver scalable, governed data solutions swiftly. The Data Engineer plays a key role in maintaining the quality of data insights solutions and ensuring alignment with business objectives.</p><br>
<p></p>
<p><b>
What You Will Do:</b></p>
<ul>
<li>Partner with product owners, scrum masters, and solution architects to deliver solutions.</li>
<li>Review and analyze business requirements to design technical solutions.</li>
<li>Collaborate with implementation team members and partners internally and externally to develop, test, and deploy solutions.</li>
<li>Adhere to software development and maintenance standards by understanding development best practices.</li>
<li>Implement robust data pipelines using the Microsoft toolset and Databricks.</li>
<li>Create reusable and scalable data pipelines.</li>
<li>Estimate and deliver multiple project assignments and system change requests within agreed resourcing and timelines.</li>
<li>Govern solutions and assess complex new data sources with various SAP and non-SAP systems.</li>
<li>Analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value.</li>
<li>Govern the technology implementation of solution designs.</li></ul><br>
<p><br>
<b>Required Skills To Be Successful:</b></p>
<ul>
<li>Expertise in data ingestion, data processing, and analytical pipelines for big data and data warehouse solutions.</li>
<li>Experience in cloud-based analytics solutions, particularly Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services.</li>
<li>Strong analytic skills with experience handling unstructured datasets.</li>
<li>Thorough understanding of DevOps processes, CI/CD, and Infrastructure as code.</li></ul><br>
<p><br>
<b>What Equips You For The Role:</b></p>
<ul>
<li>8+ years of experience in Azure and Databricks.</li>
<li>Minimum 5+ years in implementing analytics capabilities from conceptualization to delivery on the Azure platform.</li>
<li>Bachelor's degree in Computer Science or a related field.</li>
<li>Knowledge of SAP BW/BO, Tableau, Power BI, and Scala is advantageous.</li>
<li>Certification on Azure platform toolsets is a beneficial addition.</li></ul><p></p><p><br>
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.</p><br>
<p></p>
<p>Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate <b>why</b> this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.</p><br>
<p></p>
<p>As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</p></div><p></p>

Akkodis Group Nordics

<div>
 Akkodis is seeking a
 <strong>
  Data Engineer
 </strong>
 for a
 <strong>
  Contract
 </strong>
 with a client in
 <strong>
  New York, NY.
 </strong>
 The ideal candidate will build and optimize end‑to‑end data pipelines and ensure high‑quality ETL processes through rigorous testing, validation, and performance monitoring.
 <br/>
 <br/>
 <strong>
  Rate Range:
 </strong>
 $37/hour to $47/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
 <br/>
 <br/>
 <strong>
  Data Engineer Job Responsibilities Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable data pipelines and ETL workflows using Python, PySpark, and GCP services like Dataflow, Dataproc, and BigQuery.
  </li>
  <li>
   Extract, transform, and load large‑volume datasets from diverse sources while ensuring data quality, accuracy, and reliability through robust testing and validation.
  </li>
  <li>
   Implement and optimize data ingestion and transformation processes, including writing advanced SQL/BigQuery queries for performance‑efficient data modeling.
  </li>
  <li>
   Collaborate with data scientists, analysts, and cross‑functional teams to understand business requirements and deliver high‑quality data solutions.
  </li>
  <li>
   Manage the end‑to‑end data lifecycle&mdash;from ingestion to transformation, storage, archiving, and deletion&mdash;while adhering to cloud security and compliance standards.
  </li>
  <li>
   Utilize Git for version control, develop CI/CD pipelines with Jenkins, and troubleshoot/debug existing ETL workflows to enhance system performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, Data Engineering, or a related field.
  </li>
  <li>
   3&ndash;6 years of hands‑on experience as a Data Engineer or in a similar data‑focused engineering role.
  </li>
  <li>
   Proven expertise in building and optimizing large‑scale data pipelines using Python, PySpark, and GCP technologies (BigQuery, Dataflow, Dataproc).
  </li>
  <li>
   Strong understanding of ETL best practices with the ability to develop efficient, secure, and reliable data ingestion and transformation solutions.
   <br/>
   <br/>
  </li>
 </ul>
 If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
 <strong>
  Gopal.Gupta@
 </strong>
 <strong>
  akkodisgroup.com.
  <br/>
  <br/>
 </strong>
 <strong>
  Pay Details:
 </strong>
 $37.00 to $47.00 per hour
 <br/>
 <br/>
 Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
 <br/>
 <br/>
 Equal Opportunity Employer/Veterans/Disabled
 <br/>
 <br/>
 Military connected talent encouraged to apply
 <br/>
 <br/>
 To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
 <br/>
 <br/>
 <ul>
  <li>
   The California Fair Chance Act
  </li>
  <li>
   Los Angeles City Fair Chance Ordinance
  </li>
  <li>
   Los Angeles County Fair Chance Ordinance for Employers
  </li>
  <li>
   San Francisco Fair Chance Ordinance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Massachusetts Candidates Only:
 </strong>
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
</div>


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