- Can I apply
- Open to any education · 3–6 yrs
- Pay
- Pay not stated
- Source
- From the company's careers page · today
- How to apply
- On Amgen's site: account needed, ~10–15 min
Early: posted 1 h ago on their own site
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About the role
Senior Data Engineer - AWS at AuxoAI Engineering. Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.
What you'll do
- Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift
- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives
- Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness
- Implement data governance and security best practices to ensure compliance and data integrity
- Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring
What you need
- 6–11 yrs of experience
- AWS
- SQL
- ETL
- Python
- Redshift
- Data warehousing
- M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA
Good to have
- Airflow
- Docker
- Kubernetes
- Machine learning
- NoSQL
- Java
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