Data Engineer -AWS Snowflake

Tata Consultancy Services • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • SQL • ETL/ELT • 14 days ago
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Salary
≈ $14k – $34k per year (Estimated)
Location
In office (Chennai)
Experience
3+ years exp
Employment
Full-Time

First seen by Alion on Oct 8, 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

Desired Competencies (Technical/Behavioral Competency

  • Strong experience in Snowflake, SQL for data manipulation and engineering tasks.
  • Strong Expertise in SQL and Snowflake architecture
  • Experience in ETL tools DBT
  • Experience in cloud platforms Preferably AWS
  • In-depth knowledge of data warehousing concepts and experience in building and managing data warehouses.
  • Knowledge in ETL concepts - needs to manage data migration into Snowflake. This includes extracting data from various sources, transforming it into a usable form, and loading it into the Snowflake platform.

Good-to-Have(Ideally should not be more than 3-5)

  • Knowledge of Data architecture, data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information
  • Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
  • Familiarity with cloud platforms like AWS for deploying, managing, and scaling data infrastructure and services.
  • Experience with version control systems such as Git for code management and collaboration

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