About the Role
Key Responsibilities:
- Lead the design, development, and optimization of scalable and secure data pipelines using AWS services such as Glue, S3, Lambda, EMR , and Databricks Notebooks , Jobs, and Workflows.
- Oversee the development and maintenance of data lakes on AWS Databricks , ensuring performance and scalability.
- Build and manage robust ETL/ELT workflows using Python and SQL , handling both structured and semi-structured data.
- Implement distributed data processing solutions using Apache Spark / PySpark for large-scale data transformation.
- Collaborate with cross-functional teams including data scientists, analysts, and product managers to ensure data is accurate, accessible, and well-structured.
- Enforce best practices for data quality, gov...
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