Posted:3 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

  • Design, develop, and maintain scalable data pipelines using Snowflake Cloud Data Platform.
  • Manage data ingestion from multiple sources (structured, semi-structured, unstructured) into Snowflake.
  • Optimize data storage, transformations, and performance through partitioning, clustering, and query tuning.
  • Build and maintain data models (staging, raw, curated layers) for analytics and reporting.
  • Develop ETL/ELT workflows using SQL, Python, and automation frameworks.
  • Monitor and troubleshoot Snowpipe, Streams, Tasks, and Procedures to ensure reliable data flow.
  • Ensure data quality, lineage, and governance across all pipelines using tools like Sifflet.
  • Collaborate with business stakeholders, data scientists, and BI teams to deliver insights.
  • Implement security best practices (role-based access, masking, RBAC) in Snowflake.
  • Stay updated with Snowflake’s latest features (weekly updates) and apply them to improve efficiency.
  • Provide L2/L3 support for production issues, ensuring minimal downtime and data accuracy.
  • Document processes, create knowledge-sharing material.

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