Snowflake Developer

Job description

Job Description - -------------- **About the Unit**: **TCS Data \& Analytics** is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of *Smart Data for Smarter AI*, it enables organisations to create intelligent, AI-ready ecosystems that accelerate innovation, unlock new value, and drive business transformation at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage. **Job Title: SR Snowflake Developer** **Work Location: Pan India** **Walk- in Drive for Saturday on 8th August Venue details- Hyderabad/Bengaluru** **Job Title: / Lead** **Experience: 6-15 years** **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