Data Engineer

We are looking for a highly skilled Senior Data Engineer with strong hands-on experience in SQL Server, Snowflake, Python, and SSIS to design, develop, and support enterprise data integration and analytics solutions. The candidate will work closely with business stakeholders, data analysts, data scientists, and technical teams to build scalable and reliable data pipelines, ensure data quality, support testing activities, and optimize enterprise data warehouse processes.

Business & Stakeholder Engagement
• Collaborate with business stakeholders, data analysts, data scientists, and application teams to understand business requirements and data needs.
• Participate in requirement gathering sessions and translate business requirements into technical data solutions.
• Assist in data analysis, source system assessment, and data mapping activities.

Data Engineering & Development
• Design, develop, and maintain ETL/ELT pipelines for ingesting data from multiple source systems into Snowflake-based Enterprise Data Warehouse.
• Develop scalable data integration solutions using SQL Server, SSIS, Python, and Snowflake.
• Create and optimize SQL queries, stored procedures, views, and data transformation logic.
• Build ingestion frameworks for batch and incremental data loads.
• Implement metadata-driven and reusable data pipeline components.
• Support migration of SQL Server databases, stored procedures, and SSIS packages to Snowflake and Python-based frameworks.
• Define and implement data quality rules, validations, and reconciliation processes.
• Perform root cause analysis for data quality issues and implement corrective actions.
• Ensure data integrity, consistency, and compliance across data platforms.
• Maintain data lineage, audit, and operational logging processes.
• Design and develop Snowflake databases, schemas, tables, views, stages, streams, tasks, and data pipelines.
• Implement data loading processes using Snowflake native capabilities.