Snowflake developer

Tata Consultancy Services · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Bachelor's Degree · Python · SQL · ETL/ELT · 1 day ago
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Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 3, 2026. Tata Consultancy Services scores A on the Alion truth index.

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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

Role: Developer. Skills: Python, SQL, SNOW. Experience: 4 - 12 Years. Qualification: Bachelor Of Engineering

  • Must

    have 6+ years of IT experience, relevant experience of at least 4 years

    in Snowflake.

  • In-depth

    understanding of Data Warehousing, ETL concepts and modeling structure

    principles

  • Experience working with Snowflake

    Functions, hands on exp with Snowflake utilities, stage and file upload

    features, time travel, fail safe,procedure writing,tasks,snowpipe,

    SnowSQL

  • Knowledge on Snowflake Architecture
  • Good knowledge of Advanced SQL with

    Joins, Views/Materialized, various Functions, Dimensional Data Modeling

    and ETL procedures using SQL.

  • Experience

    in Python functional programming is a must with Pandas, Apache Airflow

    etc.,

  • Basics

    of ML & Gen AI

  • Expertise on engineering platform components

    such as Data Pipelines, Data Orchestration, Data Quality, Data

    Governance & Analytics

  • Hands-on experience on implementing

    large-scale data intelligence solution around Snowflake DW

  • Experience working with

    Semi-Structured data

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