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ETL / Power BI Engineer (Agentic AI – Claude Code)

  • Source: LinkedIn
  • InfoStride
  • $110 to $120 /yr
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

ETL / Power BI Engineer (Agentic AI – Claude Code)

Location- Princeton, NJ & NYC, NY (Hybrid)

Fulltime

Experience: 8+ Years

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 modeling (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.

Thanks

Harpreet

Email: [email protected]

Skills

  • power-bi
  • claude-by-anthropic
  • claude-code
  • microsoft-azure
  • azure-databricks
  • databricks
  • azure-synapse
  • amazon-web-services
  • google-cloud-platform
  • Python
  • Spark
  • workspace
  • dbt
  • Snowflake
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