ETL / Power BI Engineer (Agentic AI Claude Code)

Aifa Solutions LLC

  • Southfield, MI
  • 4 days ago

    Highlights

    Hands-on experience using Claude Code (or similar agentic IDEs) for real data engineering tasks: generating code, tests, refactors, and documentation. Certifications: Microsoft PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), Databricks, or cloud data engineering certs.

    Numbers & Facts

    LocationSouthfield, MI

    Description

    Role: ETL / Power BI Engineer (Agentic AI – Claude Code)
    location: Princeton, NJ / NYC, NY(Hybrid)
    Duration: Fulltime Permanent

    Job Description:

    Required Skills & Qualifications:

    • 7–10+ years in Data Engineering , ETL Development, BI Engineering, with strong hands-on in Power BI & AI/ML.

    Expertise in:

    • SQL (complex queries, optimization, window functions).
    • DAX (measures, calculated columns, time intelligence, performance tuning).
    • Data modelling (star/snowflake schemas, semantic layers).
    • Solid experience building ETL/ELT pipelines in cloud environments (Azure: ADF, Databricks, Synapse; or AWS/GCP equivalents).
    • Proficient in Python and/or Spark for data transformation and automation.
    • Hands-on experience using Claude Code (or similar agentic IDEs) for real data engineering tasks: generating code, tests, refactors, and documentation.
    • Familiarity with agentic patterns: skills, prompts, MCP connectors, and integrating AI agents into CI/CD or data workflows.
    • Strong understanding of data quality, governance, and security in analytics platforms (RLS, workspace roles, deployment pipelines).
    • Nice-to-Have
    • Experience with dbt, Data Factory, Databricks, Snowflake, or Fabric.
    • Exposure to Power BI agent skills / Skills for Fabric or similar AI-assisted report-building capabilities.
    • Background in knowledge graphs / ontologies or advanced metadata management.
    • Certifications: Microsoft PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), Databricks, or cloud data engineering certs.

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