AWS Engineering Lead
1 week ago
About the Role
The successful candidate will lead engineering teams on cloud-based data projects utilizing AWS services.
Key Responsibilities:
- Develop and maintain large-scale data pipelines using Python, PySpark, and AWS Glue.
- Design and implement scalable data architectures for cloud-based environments.
- Collaborate with cross-functional teams to ensure seamless integration of data systems.
- Ensure data quality, security, and compliance with industry standards.
- Analyze system performance and optimize resources for maximum efficiency.
Requirements:
- 6+ years of experience in data engineering with a focus on AWS core services (Lambda, Glue, EMR, S3, RedShift).
- Excellent knowledge of Python programming and PySpark/Scala.
- Strong understanding of ETL tools and SQL.
Bonus Points:
- Familiarity with other AWS services like Athena, Lake Formation, and QuickSight.
- Experience with containerization using Docker.
What We Offer:
Tata Consultancy Services offers a competitive salary range of ₹30-50 lakhs per annum, depending on qualifications and experience, plus additional benefits including medical insurance, retirement plans, and opportunities for professional growth and development.
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