Sr. Data Engineer
NARBA is looking for a Senior Data Engineer to design and develop scalable multi-tenant systems on AWS. The role involves building high-volume data pipelines, Lambda-based microservices, and supporting MLOps workflows using SageMaker. Candidates must have extensive experience in Python, SQL, and AWS serverless architectures. The position also requires occasional work on frontend dashboards and CI/CD infrastructure.
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Experience
6+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
NARBA is looking for a Senior Data Engineer to design and develop scalable multi-tenant systems on AWS. The role involves building high-volume data pipelines, Lambda-based microservices, and supporting MLOps workflows using SageMaker. Candidates must have extensive experience in Python, SQL, and AWS serverless architectures. The position also requires occasional work on frontend dashboards and CI/CD infrastructure.
TAL's take
Solid tier-2 company with a clear and well-defined technical scope for a senior engineer.
The role has a very specific technical stack and clear responsibilities, though it describes a very broad full-stack/data/MLOps scope.
Must haves
- 6+ years of software engineering experience
- Expert-level Python development (5+ years)
- Strong SQL knowledge
- Hands-on experience with Pandas and PySpark
- 4+ years of AWS experience
- Experience with ML/MLOps systems such as SageMaker
Tools and skills
Nice to have: terraform, cdk, cloudformation, typescript, tailwind css, vue.js, next.js.
About the company
Unfamiliar company, default mid-tier.