AWS Technical Lead – Data Engineering
Mumbai
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time · Permanent — employment source
Time Type: Full time Contract Type:
Contract Type: Permanent
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingWe 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 strong individual contribution with end-to-end technical ownership.
Design and implement AWS-based data engineering solutions
Build and optimize batch and streaming pipelines
Develop SQL-driven transformations and Python-based pipelines
Own deliverables from development to production support, including tuning and troubleshooting
Provide technical estimates and implementation trade-offs to stakeholders
From the employer’s posting
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 strong 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.
Design and implement AWS-based data engineering solutions
Build and optimize batch and streaming pipelines
Develop: SQL-driven data transformations Python-based pipelines
Own data engineering deliverables from development to production support
Provide: Technical estimates Implementation trade-offs
What you’ll bring
All qualificationsCore experience
- 6 to 10 years of experience in data engineering
- Deep expertise in AWS data services
- Strong SQL skills
- Strong Python skills
Qualification wording
6 to 10 years of experience
deep expertise in AWS data services, SQL, and Python
Tools in this posting
- Python
- SQL
- AWS
Source — Tool mentions in context
This role requires strong 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
- SQL-driven data transformations - Python-based pipelines - Design efficient data models for:
- Develop: - SQL-driven data transformations - Python-based pipelines
Role Overview 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 strong 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.
Data Platform Design & Development - Design and implement AWS-based data engineering solutions - Build and optimize batch and streaming pipelines
- Participate in code reviews and continuous improvement initiatives - Ensure compliance with AWS, security, and governance guideline Location:
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 13, 2026 · 17 days ago
- Recorded sightings
- 60
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description:
Role Overview
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 strong 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
Location:
MumbaiBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSource details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mumbai
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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