ETL / Power BI Engineer

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.