ETL / Power BI Engineer
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Role details
Tech stack
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Requirements
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., Job Title: ETL / Power BI Engineer (Agentic AI) Location: Princeton, NJ & NYC, NY (Hybrid) Duration: FULLTIME. Required Skills & Qualifications:- 7 10+ years in data engin…
- 17 hours ago
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