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5 days ago
We are seeking an experienced data engineer to lead our team in designing and optimizing modern data platforms.
- Drive the development of scalable data solutions using Databricks architecture.
- Build efficient ETL/ELT pipelines with Python (PySpark).
- Establish and maintain CI/CD pipelines with Git/DevOps tools.
- Design data lakes, warehouses & lakehouses that meet our business needs.
- Optimize Databricks clusters, jobs & workflows for batch and streaming operations.
Key requirements include 5+ years of experience in data engineering, strong expertise in Databricks and Apache Spark, hands-on experience with Unity Catalog for governance and lineage, and a proven track record of building optimized ETL pipelines.
Required Skills:
- Proficiency in Databricks and PySpark
- Experience with Unity Catalog and DevOps practices
- Strong understanding of data governance and security
- Proven ability to design and optimize data pipelines
Benefits:
- Opportunity to work on cutting-edge data projects
- Collaborative and innovative team environment
- Professional growth and development opportunities
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