azure data engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring Azure Data Engineer at PAN India locations!!</p>
<p>
Experience Range- 5 to12 Years</p>
<p>
Key Technical Skillsets-</p>
<p>
</p><ul><li>Strong proficiency in Python, Pyspark.</li>
<li>Data Ingestion and Integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
</li><li>Data Transformation and Processing: Perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.</li>
<li>Data Storage and Management: Select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.</li></ul><p><br>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404819</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Big Data | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Data Engineer

AmeriHealth Caritas

<div><p><b>THIS IS A HYBRID, OFFICE BASED POSITION WORKING AT OUR ELLIS PRESERVE OFFICE LOCATED IN NEWTOWN SQUARE, PA.
</b></p><p><b>WE WILL NOT CONSIDER REMOTE CANDIDATES!</b></p><p><b>
Role Overview</b></p><p>
We are seeking an <b>Azure Data Engineer </b>with an extensive background in building data pipelines using Azure Data Factory and Databricks to join our growing Enterprise Data Office. You will be designing and implementing optimal data pipelines/flows from multiple sources; experience with Snowflake and Azure Synapse is a plus.. If you are a confident, skilled, and energetic professional and can complement a blended team, we want to meet you.</p><p><b>
Responsibilities</b></p><ul><li>
Build and maintain scalable automated data pipelines. Support critical data pipelines with a highly scalable distributed architecture - including data ingestion (streaming, events and batch), data integration, data curation.
</li><li>Strong experience as an Azure Data Engineer and must have Azure Databricks and Azure Data Factory experience.</li><li>
Demonstrated experience of turning business use cases and requirements into technical solutions.</li><li>
Expert level understanding on Azure Data Factory, SQL, ADLS, Azure Databricks, PySpark, Azure DevOps, Kafka, Python is required.</li><li>
Experience in business processing mapping of data and analytics solutions.</li><li>
Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.</li><li>
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.</li><li>
HVR, Snowflake, Azure Synapse, SQL Server, Collibra Governance tools is a plus.</li><li>
Experience preparing data for Data Science and Machine Learning.</li><li>
Experience preparing data for use in Azure Databricks.</li><li>
Demonstrated experience preparing data and building data pipelines reusable components and frameworks.</li><li>
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>
Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data needs.</li><li>
Identify and tackle issues concerning data management to improve data quality.</li><li>
Understand and implement best practices in management of data, including master data, reference data, metadata, data quality and lineage.</li><li>
Strong knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.</li><li>
Strong team collaboration and experience working with remote teams.</li><li>
Experience with Git/TFS/VSTS is a must.</li></ul><p><b>
Education and Experience</b></p><ul><li>
At least five (5)+ years of experience with Azure Data Engineering.</li><li><b>
At least four (4)+ years of hands-on experience in Azure Databricks and Azure Data Factory.
</b></li><li><b>At least five (5)+ years of experience programming in Python, PySpark, Scala, Shell, T-SQL etc.</b></li><li>
Experience as Data Engineer in Azure Big Data Environment.</li><li>
Expertise in ETL tools i.e. (SSIS, Data Stage).</li><li>
Expertise in Implementing Data Warehousing and Data Lake Solutions.</li><li>
Experience with working in Agile environment as part of a scrum team.</li><li>
Hands-on experience in Azure stack and hands-on experience on HVR, Kafka and Snowflake.</li><li>
Good understanding of Azure Databricks platform and ability to build data analytics solutions to support the required performance &amp; scale.</li><li>
Good understanding and experience working on Deltalake using Apache Delta and Unity Catalog in Azure Databricks.</li><li>
Experienced working on performance tuning and optimizing long running jobs.</li><li>
Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment.</li><li>
Solid understanding of Modern Data Warehouse and Data Warehousing concepts.</li><li>
Proficient in a source code control system.</li><li>
Bachelor&rsquo;s degree in technology, related field or equivalent combination of education and relevant work experience.</li></ul><p><b>
Our Comprehensive Benefits Package</b></p><p>
Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.</p><p>
Your career starts now. We are looking for the next generation of health care leaders.</p><p>
At AmeriHealth Caritas, we are passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we would like to connect with you.</p><p>
Headquartered in Newtown Square, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.</p><p>
Discover more about us at www.amerihealthcaritas.com.</p></div>

Stellar Solutions

<div><h2 class="jobSectionHeader"><b>Azure Data Engineer</b></h2>
<p><b>Location:</b> Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be local to MA or NH)</p>
<p><b>Duration:</b> Long Term Contract</p>
<h3 class="jobSectionHeader"><b>Position Summary</b></h3>
<p>We are seeking a highly motivated Azure Data Engineer with 7-9 years of experience to join our enterprise data engineering team. The ideal candidate will bring strong expertise in SQL, Python, and Azure cloud services, with a solid understanding of data warehousing concepts and hands‑on experience in Azure Data Factory and Synapse. Exposure to Microsoft Fabric is preferred but not required.</p>
<p>This role will focus on supporting data pipeline development, migration, and optimization efforts, enabling scalable and reliable data solutions across Finance, Operations, and Enterprise functions.</p>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li><p>Support <b>data pipeline development and migration</b> from legacy data warehouses to <b>Azure Fabric Lakehouse/Warehouse</b>.</p>
</li><li><p>Write efficient <b>SQL queries</b> (T‑SQL preferred) for extraction, transformation, and validation across multiple databases (SQL Server 2022, Azure SQL MI, Synapse).</p>
</li><li><p>Develop and debug <b>Python scripts</b> for automation, ingestion, and data quality checks.</p>
</li><li><p>Assist in building <b>Fabric dataflows, pipelines, and lakehouse tables</b> aligned with enterprise data‑modeling standards.</p>
</li><li><p>Collaborate with senior engineers on <b>ETL design, optimization, and performance tuning</b>.</p>
</li><li><p>Perform <b>unit testing, peer code reviews</b>, and maintain documentation in Confluence/Git.</p>
</li><li><p>Monitor and troubleshoot <b>data load processes</b>, resolving job failures and updating JIRA/Zephyr test cases.</p>
</li><li><p>Continuously learn and apply emerging Azure technologies (Databricks, Fabric, Power BI) to improve processes.</p>
</li></ul><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h3>
<ul><li><p>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field.</p>
</li><li><p>7-9 years of professional experience in <b>data engineering</b>.</p>
</li><li><p>Strong proficiency in <b>SQL</b> (T‑SQL preferred).</p>
</li><li><p>Hands‑on experience with <b>Python scripting</b>.</p>
</li><li><p>Solid understanding of <b>data warehousing concepts</b> (ETL, staging, fact/dimension modeling).</p>
</li><li><p>Strong expertise with <b>Azure services</b>: Data Factory, Synapse (Fabric experience a plus).</p>
</li><li><p>Experience with <b>Git/Azure DevOps, Confluence, JIRA</b>.</p>
</li><li><p>Knowledge of <b>data modeling, metadata management, and data quality principles</b>.</p>
</li><li><p>Familiarity with <b>Agile/Scrum environments</b>.</p>
</li><li><p>Exposure to <b>Power BI</b> and basic <b>DAX concepts</b>.</p>
</li><li><p>Strong analytical mindset, attention to detail, and enthusiasm for learning enterprise‑scale systems.</p></li></ul></div>

Oscar

<div>
 <p>
  <strong>
   Cairo, Egypt (Hybrid - 4 days onsite)
  </strong>
 </p>
 <p>
  <strong>
   650,000 EGP - 1,400,000 EGP base salary (DOE)
  </strong>
 </p>
 <p>
  <strong>
   Full-time | Permanent
  </strong>
 </p>
 <p>
  <strong>
   ( + Transportation Allowance + Strong benefits package)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the Company
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We have partnered with a large, internationally recognised manufacturing, distribution, and sales organisation operating across multiple global markets. With a strong focus on digital transformation, data-driven decision making, and modern cloud platforms, they are investing heavily in enterprise analytics, reporting, and scalable data solutions that support both operational and strategic outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    The Role
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The organisation is seeking an experienced
  <strong>
   Senior Azure Data Engineer / Developer
  </strong>
  to join its Digital &amp; Technology function, working closely with BI and Reporting teams. This role plays a critical part in designing, building, and optimising Azure-based data pipelines and analytical solutions that serve as a single source of truth for enterprise and operational reporting.
 </p>
 <p>
  The successful candidate will collaborate with business stakeholders, analysts, and engineers to integrate and transform data from multiple systems into high-quality, trusted datasets that power Power BI dashboards and analytics products.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain
   <strong>
    ETL pipelines
   </strong>
   using
   <strong>
    Azure Data Factory
   </strong>
  </li>
  <li>
   Ingest and transform data from multiple source systems into
   <strong>
    Azure Data Lake Storage
   </strong>
   and
   <strong>
    Azure SQL
   </strong>
  </li>
  <li>
   Work with large-scale datasets (terabytes of data, partitioned tables, high-volume files)
  </li>
  <li>
   Build and optimise data solutions using
   <strong>
    Databricks, Spark, Hive
   </strong>
   , and
   <strong>
    PySpark
   </strong>
  </li>
  <li>
   Ensure data quality, integrity, availability, and performance across reporting layers
  </li>
  <li>
   Support BI teams by delivering certified datasets for
   <strong>
    Power BI
   </strong>
   consumption
  </li>
  <li>
   Collaborate with data scientists, analysts, and platform teams on data requirements
  </li>
  <li>
   Contribute to cloud best practices, DevOps processes, and CI/CD pipelines
  </li>
  <li>
   Mentor junior team members and contribute to technical decision-making (senior level)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related discipline (or 7+ years of equivalent hands-on experience in a technical data-focused role)
  </li>
  <li>
   3&ndash;5+ years of hands-on experience working with Azure Data Factory and Azure Data Lake Storage in production environments
  </li>
  <li>
   Proven experience delivering data solutions at scale, working with large and complex datasets (terabytes of data, partitioned tables, high-volume files)
  </li>
  <li>
   Strong hands-on experience with Power BI, including DAX and Power Query M
  </li>
  <li>
   Solid experience with Azure SQL Database and advanced T-SQL
  </li>
  <li>
   Practical experience with Databricks, Spark, Hive, and PySpark for big data processing
  </li>
  <li>
   Strong programming skills in Python, C#, .NET, Scala, or Java
  </li>
  <li>
   Experience working with cloud platforms, preferably Microsoft Azure (experience with AWS or GCP is a plus)
  </li>
  <li>
   Good understanding of DevOps principles and experience working with CI/CD pipelines
  </li>
  <li>
   Demonstrated ability to collaborate with business and technical stakeholders to translate requirements into scalable data solutions
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills
  </li>
  <li>
   Professional working proficiency in English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   Experience with
   <strong>
    DevSecOps
   </strong>
   practices
  </li>
  <li>
   Exposure to
   <strong>
    SAFE / Agile
   </strong>
   delivery environments
  </li>
  <li>
   Knowledge of
   <strong>
    SAP BW
   </strong>
   or enterprise ERP data sources
  </li>
  <li>
   Previous leadership or mentoring experience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s on Offer
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary:
   <strong>
    650,000 EGP - 1,400,000 EGP
   </strong>
   , depending on experience
  </li>
  <li>
   <strong>
    Hybrid working model
   </strong>
   (4 days onsite in Cairo)
  </li>
  <li>
   Private healthcare, annual bonus plus more benefits
  </li>
  <li>
   Transportation / Car Allowance
  </li>
  <li>
   Long-term career growth in a stable, well-funded organisation
  </li>
 </ul>
 <p>
 </p>
</div>


Azure Data Engineer / Developer

VBEST Software Inc

<p><b>Description</b></p><ul><li>Design, implement, and support the client&rsquo;s Azure Data Cloud Platform</li><li>Build, maintain, and optimize scalable data pipelines</li><li>Develop and manage data storage solutions and architectures</li><li>Perform data processing and data integration across multiple data sources</li><li>Work with Azure Data Lake Storage for scalable data storage</li><li>Use Azure Data Factory for data orchestration and pipeline development</li><li>Leverage Azure Databricks for data processing and analytics</li><li>Manage and query data using Azure SQL Server</li><li>Utilize Azure Synapse Analytics for data warehousing and analytics</li><li>Work with Microsoft Fabric for unified data solutions</li><li>Implement data governance and management using Azure Purview</li><li>Handle NoSQL data using Azure Cosmos DB</li><li>Work with <b>OpenAI / Generative AI services</b> for advanced data and AI use cases</li><li>Demonstrate strong programming skills in at least one of the following: Python, T-SQL, Java, R, or Scala</li><li>Apply working knowledge of Azure DevOps for CI/CD and deployment processes</li></ul><p>Pay: $50.00 - $55.00 per hour</p><p>Work Location: In person</p>

Azure Data Engineer with AI

Openkyber

<div><p>DataOps Engineer / Azure Data Engineer (Public Health Data Modernization) Location: Remote Position Type: Contract (15 months with multi-year extension options)</p>
<p>Prior experience health care data modernization projects for state projects is highly desired</p>
<b>Job Summary:</b>
<p>We are seeking a highly skilled DataOps Engineer to lead the operationalization of a large-scale public health data infrastructure modernization initiative. This role is critical in establishing a sustainable, staff-owned DataOps foundation to improve the quality, reliability, and usability of state-wide health data. You will work at the intersection of data engineering, quality assurance, and governance, utilizing a modern cloud stack centered on Azure DevOps, Azure Databricks, and AWS Data Lake architectures.</p>
<p>The ideal candidate is not just a technical expert but also a mentor who can perform hands-on co-development with internal teams to build durable organizational capacity.</p>
<b>Key Responsibilities:</b>
<ul><li>Data Quality &amp; Statistical Process Control (SPC): Develop and implement governed, version-controlled downstream Data Quality (DQ) rules and validation frameworks. Establish SPC monitoring for data volumes, timeliness, and distributions, including AI-assisted anomaly detection.</li>
<li>Infrastructure &amp; Pipeline Support: Translate downstream requirements into actionable specifications for upstream ingestion teams. Maintain operational performance metrics and observability dashboards.</li>
<li>Data Governance &amp; Metadata: Build and maintain data glossaries, catalogs, and end-to-end lineage visualizations within established governance tools. Define data contract requirements for external vendors, including schema expectations and QA thresholds.</li>
<li>Analytics &amp; BI Enablement: Develop governed Power BI semantic models (Cost, Quality, Access) and standardized dashboards with integrated DQ/SPC overlays.</li>
<li>Organizational Enablement: Lead role-based training through active co-building sessions. Document all processes, runbooks, and SOPs as living Wikis within Azure DevOps to ensure long-term sustainability.</li>
</ul><b>Required Technical Stack:</b>
<ul><li>Platform: Azure DevOps (Boards, Repos, Pipelines, Wikis).</li>
<li>Data Engineering: Azure Databricks and AWS Data Lake (Medallion Architecture).</li>
<li>Visualization: Power BI (DAX, RLS, semantic modeling).</li>
<li>Automation: Power Automate and SharePoint integration.</li>
<li>Architecture: Experience with native AWS services and complex data ingestion pipelines.</li>
</ul><b>Preferred Qualifications:</b>
<ul><li>Certifications: Microsoft Certified: Azure Data Engineer Associate, Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional.</li>
<li>Domain Expertise: Prior experience with healthcare data infrastructure (e.g., APCD, Medicaid, or clinical datasets).</li>
<li>Management: DAMA CDMP, Lean Six Sigma, or Prosci Change Practitioner certifications.</li>
<li>Agile: SAFe Practitioner or Scrum Master (CSM/PSM).</li>
</ul><p>DataOps Engineer, Azure Data Engineer, Databricks, Azure DevOps Pipelines, Power BI Developer, Healthcare Data Analytics, AWS Data Lake, Medallion Architecture, Data Governance, Statistical Process Control, Metadata Management, Data Quality Engineering, AI Anomaly Detection, Semantic Modeling, DAX, SQL, Python, Public Health IT, Data Lineage, CDMP.</p>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Azure Network Engineer

RH Aero Systems

<div><div><div><b>About RH Aero Systems:</b></div></div><div><div>
RH Aero Systems is setting the standard for aviation support equipment and services. Through our industry-leading businesses &ndash; Rhinestahl and HYDRO Systems &ndash; we deliver capability across custom-designed Ground Support Equipment, OEM-licensed engine and airframe tooling, 26 global service centers and innovative engineered solutions for OEMs, MROs and Operators worldwide. RH Aero Systems&rsquo; global headquarters are in Mason, Ohio, USA, with Regional Headquarters in Biberach, Germany and Singapore. For further details visit RHAero.com.</div></div><p>
</p><div><div><b>Job Summary:</b></div></div><p>
</p><div><div>The Data Engineer is responsible for building, maintaining, and scaling RH Aero&rsquo;s enterprise Azure data platform and Microsoft Fabric environment in support of business integration, data consolidation, and analytics transformation initiatives.</div></div><p>
</p><div><div>This role will be central to unifying data across two legacy operating companies as we implement our future ERP systems. The Data Engineer will design, build, and support the pipelines, data structures, quality controls, security model, and semantic layers needed to deliver trusted executive KPI reporting, cross-functional analytics, and future AI-enabled business insights.
</div></div><div></div><div><div>The environment includes multiple enterprise business platforms across manufacturing, service, supply chain, sales, and finance. This is not a report developer role. This is a platform building role for a technically strong engineer who can work across systems, business functions, and data domains.
</div></div><p></p><div><div><b>Why join this role:</b></div></div><ul><li><div>
Opportunity to help build a single, trusted enterprise data foundation across the organization.
</div></li><li><div>Play a key role in transforming fragmented reporting processes into a scalable and governed data platform.
</div></li><li><div>Contribute to improving executive decision-making, self-service analytics, and future AI-enabled insights.</div></li></ul><p>
</p><div><div><b>Key Responsibilities:</b></div></div><p>
</p><div><div>Build RH Aero&rsquo;s Future Analytics Platform
</div></div><ul><li><div>Design and implement the enterprise data platform architecture using Azure and Microsoft Fabric, including data ingestion, storage, transformation, modeling, and governed delivery patterns.
</div></li><li><div>Build and maintain robust automated pipelines from business applications, supplier/customer portals, and operational databases into a unified data environment.
</div></li><li><div>Establish raw, curated, and business-ready data layers to support repeatable analytics, executive dashboards, and self-service reporting.
</div></li><li><div>Integrate and normalize data from Epicor, JobBOSS, SAP ECC, Salesforce, Azure SQL, and other internal and external business systems.
</div></li><li><div>Create reusable data models, dimensions, facts, and business logic to support quote-to-cash, procure-to-pay, inventory, manufacturing, service, finance, and KPI reporting.
</div></li><li><div>Implement data quality checks, exception handling, reconciliation routines, and monitoring to improve trust in reporting and reduce manual work.
</div></li><li><div>Support Power BI delivery through governed semantic models, dataset optimization, security configuration, and drill-through to transaction-level source data.
</div></li><li><div>Help define and implement role-based access, row-level security, object-level security, and workspace governance aligned to company policy and regional privacy requirements.
</div></li><li><div>Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards.
</div></li><li><div>Evaluate the current integration landscape, including manual feeds, direct SQL access, and middleware processes, and help transition the organization to more controlled and scalable patterns.
</div></li></ul><div><div><b>Qualifications and Experience:</b></div></div><p>
</p><ul><li><div>Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field is preferred. Equivalent practical experience in enterprise data engineering will also be considered.
</div></li><li><div>5+ years of experience in data engineering, data integration, or enterprise data platform development.
</div></li><li><div>4+ years of hands-on experience with Azure data services such as Azure Data Factory, Azure SQL, Azure Data Lake, Microsoft Fabric, Synapse, or closely related Microsoft data technologies.
</div></li><li><div>Strong SQL development skills and experience optimizing complex data transformations.
</div></li><li><div>Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in modern data engineering.
</div></li><li><div>Experience designing and implementing data lake, lakehouse, or data warehouse solutions.
</div></li><li><div>Strong understanding of dimensional modeling, semantic modeling, and data structures used for reporting and analytics.
</div></li><li><div>Experience building and supporting ETL/ELT pipelines across multiple source systems.
</div></li><li><div>Experience with Power BI datasets/semantic models and the data engineering practices that support governed reporting environments.
</div></li><li><div>Experience with data quality, reconciliation, lineage, and documentation practices.
</div></li><li><div>Ability to work in a fast-moving environment where source data, requirements, and processes are still maturing.
</div></li></ul><ul><li><div>Strong communication skills and the ability to work directly with both technical teams and business leaders.
</div></li><li><div>This role is based onsite in Mason</div></li></ul></div>

Data Engineer

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