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Snowflake Data Engineer

icon building Company : Exl
icon briefcase Job Type : Full Time

Job Description - Snowflake Data Engineer

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.

  • 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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