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Snowflake Data Engineer

Fa Ewjt Saasfaprod1 · India

Data Science / AI / Machine LearningSenior LevelExternal listingfull-time2 days ago

About The Role

  • 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

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