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. 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. 5+ years of experience in data engineering or a related field. Strong hands-on experience with Snowflake . Advanced SQL skills. Strong understanding of data warehousing concepts , including: Star and snowflake schemas Fact and dimension tables Slowly Changing Dimensions (SCD) Data modeling ETL/ELT Experience developing and managing data pipelines. Strong knowledge of Snowflake features such as: Streams Tasks Stages Snowpipe Time Travel Zero-Copy Cloning Dynamic Tables Stored Procedures Experience with cloud platforms such as AWS, Azure, or GCP . Experience with Git and CI/CD practices. Strong debugging and problem-solving skills. Experience working in Agile/Scrum environments
AWS Data Engineer
EXL Talent Acquisition Team
Data Engineer
EXL Talent Acquisition Team
Data Engineer II
American Express
Lead Data Engineer - R01569363
Brillio
Lead Data Engineer - R01568425
Brillio
Test Data Engineer
Kyndryl