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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match
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.

Role: Engineer. Skills: Azure, PL/SQL. Experience: 6 - 14 Years. Qualification: Bachelor Of Engineering

About the Unit:

TCS Interactive brings together the power of creativity, AI, and human ingenuity to help organisations create experiences that inspire action and drive growth. Uniting strategy, design, technology, and analytics, it transforms ideas into connected experiences that are intuitive, intelligent, and impactful. From shaping digital products and customer journeys to enabling personalised engagement at scale, TCS helps businesses stay ahead in an increasingly experience-driven world. By turning imagination into measurable outcomes, TCS is helping define the future of customer experience.

Role: Data Engineer

Experience range: 6+ Years

Location: Chennai, Bangalore, Hyderabad, Pune, Kochi & Bhubaneswar

Roles and Responsibilities:

  • Experience in building complex SQL queries.
  • Familiarity with the Azure Databricks, Azure Data Factory.
  • Experience in building or maintaining ETL pipelines.
  • Experience in building Power BI dashboards.
  • Familiarity with SDLC and Agile ways of working.
  • Familiarity with Atlassian tools like Bitbucket, JIRA, Confluence
  • Develops and maintains scalable data pipelines for extraction, transformation and loading of data from various data sources using ETL tools.
  • Collaborates with product owners to build data models that feed business intelligence tools.
  • Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics.
  • Implements processes and systems to monitor data quality, ensuring production
  • Data is always accurate, available for key stakeholders and business processes that depend on it.
  • Performs analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Configuring jobs for auto refreshes of data in the repositories.
  • Optimizing queries to improve performances of jobs and pipelines.
  • Following agile and SDLC ways of working in implementation of data pipelines.
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