Data Engineer

About the role

The ideal candidate will have 6-8 years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross functional teams to design, build, and optimize data pipelines and infrastructure.

What you'll do

• Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3
• 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

• 5–9 yrs of experience
• SQL
• AWS
• 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