Azure Data Engineer

Hands-on Data Engineer responsible for building ETL/ELT pipelines and delivering reporting and BI solutions, supporting analytics and business reporting needs on Azure and SQL-based platforms., * Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark), SSIS, or Informatica.

• Develop and optimize SQL queries, views, and stored procedures to support reporting and analytics.
• Build and maintain Power BI dashboards, including data models and DAX calculations.
• Develop and support SSRS reports (parameterized, drill-down, operational reports).
• Handle data ingestion from multiple sources and file formats (CSV, JSON, Excel, etc.).
• Perform data validation, reconciliation, and performance tuning.
• Work in Agile teams and follow DevOps/DataOps best practices.
• Ensure data quality, security, and compliance (PHI where applicable).

• 7+ years of experience in Data Engineering / BI Engineering
• Exposure to Azure data services (ADF, ADLS, Azure SQL, Synapse)
• Strong experience with SQL Server (or equivalent RDBMS) and advanced SQL
• Hands-on experience with Power BI (modeling, DAX, publishing)
• Experience with SSIS for ETL and SSRS for reporting
• Working knowledge of Python is a plus

Nice to Have

• Healthcare (Payer / Provider) domain experience
• Exposure to AI/ML data preparation or analytics use cases
• Experience with Snowflake or lakehouse architecture.