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Data Integration Consultant (MS SQL, ADF, SSIS, Python, GenAI)

Tata Consultancy Services

5 - 10 years

Bengaluru

Posted: 19/02/2026

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Job Description

Greetings from TCS!

TCS is hiring for Data Integration Consultant (MS SQL, ADF, SSIS, Python, GenAI)

Desired Experience Range: 8 to 10 Years

Job Location: PAN India


Responsibilities:

  • Develop, test, and maintain high-quality software.
  • Design and implement effective and scalable solutions to store and retrieve organization data.
  • Responsible for the architecture, modeling, design, development, testing, implementation and maintenance of the data engineering routines and structures which populate and grow our databases, data marts and tables.
  • Provide directions to less experience engineers on solution design and implementation. Ensuring standards are being followed.
  • Develop data flows that can leverage both on premise and cloud architectures.
  • Work with stakeholders including the business analytics teams and IS architecture teams to assist with data-related technical issues and support their data infrastructure needs.

Job Qualifications:

  • 7+ years experience in building scalable enterprise data integration solutions; preferred on the Microsoft SQL Server and any MPP System (Teradata, Netezza etc.) Prefer Azure Data Warehouse/Database platforms.
  • 1+ years of experience as a Python Developer. Good understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Pandas, Pyarrow
  • Experience in Azure functions, experience with vector dbs, AI tools, Open AI, LLamaIndex, Lang chain
  • Proficiency with data integration tools such as SISS and Azure Data Factory (ADF), in-depth hands-on experience with SQL, TSQL, and data formats such as XML and JSON.
  • Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools
  • Proficient understanding of code versioning tools such as Github
  • In-depth understanding of data integration, data quality, and multi-dimensional design.
  • Proven experience with implementing data warehouse architecture standards, processes, and methodologies.

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