Job 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 effective 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 effective 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
Experi

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