Job Description
Key Responsibilities
- Design, build, and maintain ETL/ELT pipelines using AWS services (e.g., Glue, Lambda, Step Functions, EMR).
- Develop data integration workflows from various sources (structured, semi-structured, unstructured).
- Optimize performance and cost of data pipelines and storage solutions.
- Implement data quality checks, monitoring, and alerts.
- Collaborate with data scientists, analysts, and business teams to understand data requirements.
- Manage and maintain data lake and data warehouse architectures (e.g., S3, Redshift, Athena).
- Ensure security and compliance with data governance best practices.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 8+ years of hands-on experience in data engineering with a strong focus on AWS cloud services.
- Proficiency in ...
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