Analytics Data Engineer
HDFC Life is seeking an Analytics Data Engineer in Mumbai to bridge the gap between technical infrastructure and business strategy. You will design and maintain scalable AWS data pipelines while building backend infrastructure for analytical applications and AI tools. The role requires strong Python and SQL proficiency alongside proven experience in production-grade data engineering and CI/CD workflows. You will partner with business teams to translate complex problems into data-driven insights and scalable solutions.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
HDFC Life is seeking an Analytics Data Engineer in Mumbai to bridge the gap between technical infrastructure and business strategy. You will design and maintain scalable AWS data pipelines while building backend infrastructure for analytical applications and AI tools. The role requires strong Python and SQL proficiency alongside proven experience in production-grade data engineering and CI/CD workflows. You will partner with business teams to translate complex problems into data-driven insights and scalable solutions.
TAL's take
Solid established company with a well-defined hybrid engineering and analytics role, though specific growth signals are moderate.
Clear responsibilities split between technical infrastructure and business analytics with a defined stack.
Must haves
- Hands-on expertise in Python and SQL
- Experience with AWS (S3, Glue, Lambda, ECS, CloudWatch)
- Experience building and deploying robust data pipelines
- Experience managing APIs
- Experience setting up CI/CD workflows
Tools and skills
Nice to have: mobile development, web development.
About the company
Established large-scale Indian insurance corporation, but not a primary engineering-focused unicorn or tech giant.
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