Description
- Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
- Develop complex and optimized SQL queries for data transformation, extraction, and analysis.
- Build and maintain ETL/ELT pipelines for integrating data from multiple source systems.
- Design Snowflake databases, schemas, tables, views, stages, streams, and tasks.
- Develop efficient data transformation processes using Snowflake SQL and Stored Procedures.
- Implement incremental data loading and change-data-capture (CDC) strategies.
- Optimize Snowflake workloads for performance, scalability, and cost efficiency.
- Monitor data pipelines and troubleshoot data processing failures and performance issues.
- Perform data validation, reconciliation, and quality checks across source and target systems.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake.
- Develop complex and optimized SQL queries for data transformation, extraction, and analysis.
- Build and maintain ETL/ELT pipelines for integrating data from multiple source systems.
- Design Snowflake databases, schemas, tables, views, stages, streams, and tasks.
- Develop efficient data transformation processes using Snowflake SQL and Stored Procedures.
- Implement incremental data loading and change-data-capture (CDC) strategies.
- Optimize Snowflake workloads for performance, scalability, and cost efficiency.
- Monitor data pipelines and troubleshoot data processing failures and performance issues.
- Perform data validation, reconciliation, and quality checks across source and target systems.
Qualifications
- 5+ years of experience in data engineering or a related field.
- Strong hands-on experience with Snowflake.
- Advanced SQL skills.
- Robust understanding of data warehousing concepts, including:
- Star and snowflake schemas
- Fact and dimension tables
- Slowly Changing Dimensions (SCD)
- Data modeling
- ETL/ELT
- Experience develo
📌 Snowflake Data Engineer (India)
🏢 EXL
📍 India