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Lead Data Engineer / Engineering Manager - Python / Scala

Lead Data Engineer / Engineering Manager - Python / Scala

InfoslabHyderabad
30+ days ago
Job description

Location : Hyderabad (Hybrid)

Experience : 10+ years

Employment Type : Full-Time

About the Role :

We are hiring for our client a leading healthcare technology company building scalable, secure, and intelligent data platforms that support clinical diagnostics, research, and analytics. This role is a hybrid of hands-on technical leadership and team management, focused on delivering robust data infrastructure on AWS to support 300+ business-critical dashboards, analytics, and machine learning workflows.

Key Responsibilities :

  • Lead the design and implementation of a scalable cloud-native data platform using AWS services (S3, Glue, Redshift, Lambda, ECS, etc.).
  • Manage and mentor a team of platform / data engineers to deliver high-quality, reusable infrastructure and data components.
  • Drive architecture decisions focused on scalability, developer productivity, and security.
  • Build and maintain CI / CD pipelines, GitOps workflows, and infrastructure-as-code using Terraform.
  • Collaborate closely with InfoSec to ensure platform security, compliance, and audit readiness.
  • Support operational monitoring, incident response, and platform reliability across all environments.
  • Coordinate with analytics, product, and engineering teams to deliver domain-aligned data solutions.

Required Skills :

  • 10+ years of experience in data engineering or platform engineering.
  • 3+ years of experience in technical leadership or engineering management roles.
  • Strong expertise in AWS data stack : S3, Redshift, Glue, Athena, Lambda, ECS, etc.
  • Proficient in Python and / or Scala for data engineering and automation.
  • Deep understanding of Apache Spark for both batch and streaming use cases.
  • Hands-on experience with Terraform and CI / CD tools (GitHub Actions, Jenkins, etc.).
  • Proven ability to lead teams building scalable data infrastructure and pipelines.
  • Solid understanding of data governance, platform security, and compliance to Have :
  • Experience with Kubernetes, Docker, and microservices architecture.
  • Familiarity with Data Mesh or domain-oriented data platform design.
  • Background in healthcare or regulated industries.
  • Experience integrating with BI tools like Tableau or Looker.
  • Why Join Us ?

  • Work with a mission-driven client focused on transforming healthcare through data.
  • Lead initiatives that power diagnostics, research, and data science at scale.
  • Drive innovation with modern tools like IaC, GitOps, and serverless architectures.
  • Hybrid working model with a collaborative and impact-oriented team culture.
  • (ref : hirist.tech)

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