Data Engineer

The Data Analytics Engineer plays a critical role in designing, developing, and supporting enterprise analytics solutions built on Microsoft Fabric
. This position bridges business requirements and technical execution by translating data needs into scalable, secure, and high-quality analytics assets.

The role combines hands-on development with cross-functional collaboration to ensure analytics solutions are reliable, governed, and aligned with business priorities.

• Design, develop, and implement analytics solutions leveraging Microsoft Fabric
  , including Power BI, One Lake, semantic models, and data pipelines.
• Build and maintain data models including relational, dimensional, star, and snowflake schemas.
• Develop SQL queries and transformation logic to extract, load, and transform data from multiple sources.
• Create dashboards, reports, scorecards, and visualizations for operational and executive audiences.
• Administer and support enterprise Fabric environments, including workspace design, security, and lifecycle management.

• Establish and enforce analytics standards and best practices within the Fabric ecosystem.
• Conduct regular data profiling and quality assessments.
• Support metadata management, lineage, data security, and governance controls.
• Perform routine audits of analytics assets and ensure compliance with internal policies.

• Partner with business stakeholders to gather, document, and refine analytics requirements.
• Translate business questions into actionable data solutions.
• Prepare process flows, data flow diagrams, and technical documentation.
• Lead and support User Acceptance Testing (UAT) efforts to validate analytics deliverables.

• Develop and execute test plans including unit, integration, system, and regression testing.
• Document test results and collaborate on issue resolution.
• Support production deployments, enhancements, and ongoing optimization.

• Contribute to project planning, scope definition, and milestone tracking.
• Communicate progress, risks, and dependencies to technical and business stakeholders.
• Respond to analytics-related user issues in alignment with service expectations.

Required

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 5+ years of hands-on experience with Microsoft Fabric in an enterprise analytics environment.
• 4+ years of experience designing and delivering data analytics or BI solutions.
• Strong experience with SQL and relational database technologies (e.g., SQL Server, Oracle, or similar).
• Experience developing analytics using Power BI or comparable visualization tools.

• Experience with Snowflake, Databricks, or modern cloud data platforms.
• Experience with DBT or similar transformation frameworks.
• Experience working in regulated or highly governed environments.
• Familiarity with data security, role-based access control, and analytics governance models.