RICEFW Technologies, Inc.

Role Description - 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. Qualifications - 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.