Data Engineer Lead

Role Overview :
We’re looking for a   Data Engineering Lead   who can design, build, and scale the data infrastructure that powers Amura’s Health Tech platform.
This role is ideal for a   hands-on data engineering leader   who combines strong engineering depth with architectural thinking, ownership, and a desire to create meaningful human impact through data.
You will own the   end-to-end data architecture   from ingestion and processing to storage and analytics while leading a small team of data engineers and partnering closely with product, analytics, and engineering teams.

Key Responsibilities:

Design and own   scalable, reliable data architectures   supporting analytics, reporting, and ML use cases.
Define standards for   data ingestion, transformation, storage, and access   .
Choose and evolve the   data stack   (batch, streaming, lake / warehouse).
Balance   performance, cost, and data freshness   requirements.
Build and maintain robust   ETL / ELT pipelines   using modern tools and frameworks.
Design batch and near-real-time pipelines for structured and semi-structured data.
Ensure   data reliability, consistency, and performance   lement   data versioning, lineage, and metadata management   .
Build data systems on   AWS cloud platforms   .
Partner with Dev Ops on   IaC, CI/CD, monitoring, and cost optimization   .
Ensure   high availability, scalability, and disaster recovery   for data systems.
Establish   data quality checks, validation frameworks, and monitoring   .
Define and enforce   data governance, access control, and privacy standards   .
Collaborate with security teams on   encryption, IAM, compliance, and auditing   .
Lead, mentor, and review the work of   data engineers   .
Drive technical discussions, design reviews, and best practices.
Partner with product managers, analysts, and ML teams to translate requirements into data solutions.
Advocate for a strong   data culture   across the organization.

Requirements:
9–12+ years of experience in   data engineering or backend/data platform roles   .
Strong programming skills in   Python and/or SQL   (Scala/Java is a plus).
Deep experience building   ETL / ELT pipelines and data platforms   .
Strong understanding of:
Data modeling (star / snowflake, dimensional modeling)
Distributed data processing
Batch vs streaming architectures
Hands-on experience with   AWS data services   .

Experience with services such as   S3, Redshift, Athena, Glue, EMR, Lambda, Kinesis   , or equivalents.
Experience leading or mentoring engineers and   owning technical outcomes   .
Comfortable operating in a   fast-paced, high-growth environment   .

Here are answers to some questions you may have:

Where is your office?
Chennai (Velachery)
Work Model
Work from Office – because great stories are built in person!
Do you have an online presence?
(we are @Amura Health on all social media)
For better insights: