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Cloud Data Engineering Specialist
2 weeks ago
We are seeking a skilled Data Engineer to join our team. As a Cloud Data Engineer, you will be responsible for designing and implementing data lake architectures on Databricks.
Your primary focus will be on managing the existing cloud data platform, making it more scalable, reliable, and cost-efficient. You will also work on additional projects that leverage the existing architecture in some cases and use newer technologies where needed.
Key Responsibilities:
- Analyze and understand existing data warehouse implementations to support migration and consolidation efforts.
- Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks.
- Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
- Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.
- Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.
- Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform.
- Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability.
- Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.
- Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.
- Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming.
- Triage, debug and fix technical issues related to Data Lakes.
- Maintain and Manage Code repositories like Git.