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Snowflake Developer

Actively Reviewing the Applications

Tata Consultancy Services

India, Andhra Pradesh Full-Time On-site
Posted 2 days ago Apply by June 14, 2026

Job Description

Greetings from TCS!!!


TCS is hiring for

Job Title: Snowflake Developer / Lead

Experience: 4-15years

Location: Vishakhapatnam



Job Summary: An experienced Snowflake Developer / Lead to design, develop, and maintain data solutions using Snowflake, a cloud-based data warehousing platform. The ideal candidate should have a strong background in data warehousing, ETL development, and Snowflake technologies.



Responsibilities:

  • Snowflake Development: Design, develop, and maintain Snowflake data models, ETL workflows, and data pipelines.
  • Data Warehousing*: Work with data architects and business stakeholders to design and implement data warehousing solutions using Snowflake.
  • ETL Development*: Develop and optimize ETL workflows using Snowflake's SQL and scripting capabilities.
  • Data Governance*: Develop and maintain data governance policies, procedures, and standards for Snowflake.
  • Collaboration*: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.


Required Skills:

  • Snowflake: In-depth knowledge of Snowflake, including data modeling, data warehousing, and ETL development.
  • SQL: Proficiency in SQL and scripting languages, such as JavaScript or Python.
  • Data Warehousing: Strong understanding of data warehousing concepts, including ETL, data marts, and data lakes.
  • Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance.
  • Communication*: Excellent communication and collaboration skills.


Preferred Skills:

  • Snowflake Certifications: Relevant certifications, such as Snowflake Certified Developer or Snowflake Certified Architect.
  • Cloud Experience: Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.
  • Big Data: Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases.
  • Data Science*: Experience with data science tools, including Python, R, or SQL

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