Responsibilities:

• Design and maintain various databases, including stored procedures, indexing, and data models.
• Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server.
• Execute large-scale data migrations, including cleansing, validation, and transformation across enterprise systems.
• Develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs.
• Build data ingestion and transformation workflows across raw, staging, curated, and analytics layers.
• Build and maintain various reporting solutions using SSRS and PowerBI.
• Design and implement logical and physical data models (ERDs) for various applications.
• Develop stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems.
• Provide production support, including troubleshooting performance issues and on-call support when needed.
• Collaborate with cross-functional teams and participate in Agile ceremonies, development activities, code reviews, and release cycles.
• Provide knowledge transfer.

• 10+ years of experience in database development or data engineering.
• Expertise in SQL Server, T-SQL and performance tuning.
• Experience with ETL tools (SSIS), Python, or PySpark.
• Strong background in data modeling and data integration.
• Experience with reporting tools (SSRS, PowerBI).
• Working knowledge of DevOps tools such as Azure DevOps, GitHub, or Jenkins.
• Experience supporting critical applications in financial, government, or legal industries.