Job Description
Ingest, transform, and model data from multiple source systems
ensuring accuracy, performance, and scalability. Collaborate with data engineers, BI teams, and application teams to understand data
requirements and deliver optimized solutions. Implement ELT processes using Snowflake SQL and integrate with upstream data
pipelines. Optimize queries, storage, and performance using Snowflake best practices. Ensure data quality, consistency, and governance
across all Snowflake objects. Troubleshoot data issues and support production deployments. Document data models, transformations,
and technical designs. Required Experience: 4+ years of hands-on experience in data warehousing and Snowflake development. Key
Skills: Snowflake SQL, data modeling, ELT/ETL concepts, cloud data platforms, performance tuning, and source system integration.
ensuring accuracy, performance, and scalability. Collaborate with data engineers, BI teams, and application teams to understand data
requirements and deliver optimized solutions. Implement ELT processes using Snowflake SQL and integrate with upstream data
pipelines. Optimize queries, storage, and performance using Snowflake best practices. Ensure data quality, consistency, and governance
across all Snowflake objects. Troubleshoot data issues and support production deployments. Document data models, transformations,
and technical designs. Required Experience: 4+ years of hands-on experience in data warehousing and Snowflake development. Key
Skills: Snowflake SQL, data modeling, ELT/ETL concepts, cloud data platforms, performance tuning, and source system integration.
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