Data Engineer Lead

Role Overview:

Were looking for a Data Engineering Lead who can design, build, and scale the data infrastructure that powers Amuras HealthTech 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 at scale.
• Implement data versioning, lineage, and metadata management.
• Build data systems on AWS cloud platforms.
• Partner with DevOps 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:

• 912+ 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?

https://amura.ai (we are @AmuraHealth on all social media)

For better insights:

https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing