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About
*This role is only open to candidates who can work on a W-2 basis (no C2C or third-party candidates)*
Responsibilities Build and manage data pipelines and transformations Design and maintain robust data infrastructure (data lakes, pipelines) Design ETL pipelines for both batch and real-time processing Support data movement from warehouse to downstream processes Ensure data quality, lineage, and reliability Partner closely with AI Architect on implementation Requirements
Experience with: Databricks, Snowflake, and PySpark Strong understanding of data engineering best practices Preferred
5+ years in data engineering (flexible if strong hands-on experience) Ability to understand business context and data usage
Languages
- English
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