Data Engineer
Role details
Job location
Tech stack
Job description
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Build, refactor, and optimize Snowflake ELT pipelines using Coalesce.
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Translate existing WhereScape jobs into Coalesce components, ensuring logic parity and improved maintainability.
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Develop efficient, reusable Python scripts for automation, data processing, and orchestration.
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Implement scalable data models, transformations, and performance-optimized SQL.
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Partner with architects and data engineers to align pipelines with new platform standards.
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Support testing, validation, documentation, and productionizing of migrated pipelines.
Requirements
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4+ years of hands-on experience as a Data Engineer.
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3+ years of experience with Snowflake (SQL, modeling, performance tuning).
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Experience developing objects in Snowpark (snowflake framework)
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1+ years of Hands-on experience with Coalesce.
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Strong Python development experience (automation, transformations, pandas, NumPy).
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Background working on platform migrations or modernization projects.
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Orchestration tool experience like airflow or astronomer or similar tools
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On call support on rotation * Experience with cloud platforms and cloud-based data technologies
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Experience with Databricks, big query, and/or redshift