Data Engineer - AWS

Tata Consultancy Services • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Python • SQL • 2 months ago
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Salary
≈ $29k – $74k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 5+ years exp

First seen by Alion on Aug 21, 2026.

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Tata Consultancy Services

Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.
tcs.com • HQ: Mumbai, India • Management Consulting • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • Est. 1968
Tech stack of Tata Consultancy Services

Responsibilities:

  • Design, develop, and maintain scalable data transformation pipelines using AWS services (Lambda, Step Functions) and Python.
  • Build and optimize data processing workflows using PySpark and Databricks.
  • Design and maintain complex data calculation and transformation engines.
  • Manage and process large-scale datasets efficiently.
  • Develop and support SQL databases, including PostgreSQL and MongoDB.
  • Collaborate closely with software engineering teams on solution design and implementation.
  • Participate in code reviews, architecture discussions, and software planning activities.
  • Contribute to automation, testing, deployment, and continuous improvement initiatives.

Requirements:

  • Experience: 5-8 Years.
  • Required Skills: Python, PySpark, Databricks, AWS Lambda, AWS Step Functions, SQL, PostgreSQL / MongoDB, Data Engineering, and Data Transformation
  • Experience with large-scale data processing.
  • CI/CD, automation, and testing frameworks.
  • Strong hands-on experience with AWS Data Engineering services.
  • Expertise in Python, PySpark, Databricks, and SQL.
  • Excellent problem-solving and analytical skills.
  • Strong communication, collaboration, and documentation skills.
  • Ability to work effectively in agile and cross-functional teams.
  • Certifications: AWS Certifications (Preferred but Optional).
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