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TL;DR
Data Management Engineer Cloud ETL Pr (Cloud ETL): Building and optimizing ETL/ELT pipelines and data models for analytics with an accent on dimensional and semantic modeling. Focus on developing ingestion workflows, ensuring data quality, and preparing datasets for AI/ML use cases.
What you will do
- Build and optimize ETL/ELT pipelines and ingestion workflows to deliver trusted datasets.
- Apply dimensional and semantic modeling to create scalable data models for dashboards and analytics.
- Implement and monitor data quality checks, reliability, and performance.
- Ensure data lineage and traceability while documenting schemas and transformations.
- Manage CI/CD deployments and parameterize transformations using Jinja.
- Prepare and structure data specifically to support AI/ML use cases.
Requirements
- Bachelor's degree in Engineering, Computer Science, or Information Technology.
- Strong proficiency in SQL and Python.
- Hands-on experience with Snowflake, AWS Glue, and dbt.
- Proven expertise in dimensional and semantic data modeling.
- Experience with version control using GitHub and CI/CD deployment processes.
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