We are looking for a hands-on AWS Technical Lead – Data Engineering with 6 to 10 years of experience to design and deliver scalable, secure, and high-performance data platforms on AWS.
This role requires robust individual contribution with end-to-end technical ownership. The candidate will collaborate closely with global teams, architects, and clients to deliver enterprise-grade data engineering solutions.
The ideal candidate should have deep expertise in AWS data services, SQL, and Python, along with the ability to design, build, and optimize reliable data pipelines for analytics and business use cases.
Key Responsibilities
Data Platform Design & Development
- Design and implement AWS-based data engineering solutions
- Build and optimize batch and streaming pipelines
- Develop:
- SQL-driven data transformations
- Python-based pipelines
- Design efficient data models for:
- Scalability
- Performance
- Cost optimization
Delivery & Quality Ownership
- Own data engineering deliverables from development to production support
- Perform:
- Performance tuning
- Cost optimization
- Capacity planning
- Troubleshoot complex data and production issues
- Ensure solutions meet security, reliability, and scalability standards
Collaboration & Client Engagement
- Work with architects, product owners, and stakeholders
- Translate business requirements into technical data solutions
- Provide:
- Technical estimates
- Implementation trade-offs
- Participate in solution design and architecture discussions
Engineering Best Practices
- Follow coding standards and data engineering best practices
- Participate in code reviews and continuous improvement initiatives
- Ensure compliance with AWS, security, and governance guideline
📌 AWS Technical Lead – Data Engineering (Mumbai)
🏢 Merkle
📍 Mumbai
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