Overview
We are looking for a Data Engineer – Snowflake to design, build, and optimize scalable cloud data solutions. The ideal candidate has strong experience with Snowflake, modern data pipelines, Python, SQL, and cloud platforms
Key Responsibilities
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Design and implement scalable Snowflake data architectures.
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Build and maintain ETL/ELT pipelines using Snowpipe, Snowpark, Streams & Tasks, and dbt.
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Develop Snowflake-native applications, UDFs, and automation tools.
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Optimize performance, cost, and security within the Snowflake platform.
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Implement CI/CD, Infrastructure as Code, and data governance best practices.
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Collaborate with engineering teams and support platform enhancements.
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5+ years of data engineering experience with hands-on Snowflake expertise.
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Strong experience with Snowpark, Snowpipe, Streams & Tasks, SQL, and Python.
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Experience with dbt and ETL/ELT tools such as Fivetran, Matillion, Airbyte, or StreamSets.
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Knowledge of Terraform, CI/CD, and AWS, Azure, or GCP.
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Strong understanding of data modeling, governance, and query optimization.
Nice to Have
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Snowflake SnowPro Certification.
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Experience with Tableau, Power BI, or Looker.
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Knowledge of data lineage or catalog tools.
