Walk-in || Snowflake Developer - Walk In Drive - Bangalore on 13th June

Job description

Dear Candidate, Greetings from **Tata Consultancy Services (TCS)**! We are pleased to confirm your participation in our **Face-to-Face Interview Drive** scheduled on **13th June 2026.** You are requested to kindly make yourself available and report at the venue within the scheduled time.. **Interview Details** - **Date:** 13th June 2026 - **Time:** 9:00 AM to 1:00 PM **Interview Location & Venue: Bengaluru** TCS Brigade Bhuwalka Icon, No.1, ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka 560066 **Role & responsibilities** : - Strong handson experience with **Databricks** using **PySpark, Spark SQL, Delta Lake, Jobs/Workflows, and cluster configuration** - Strong handson experience with **Snowflake** including **SQL, Tasks, Streams,** **Snowpipe, Time Travel, clustering, and warehouse tuning** - Advanced **SQL development skills**, including complex joins, CTEs, window functions, and query performance - Proficiency in **Python or scripting languages** for data processing, automation, and framework development - Experience designing and maintaining **star/snowflake schemas, data vault models, and** **analytics****ready** **data marts** - Experience with **ETL/ELT tools** such as **dbt, Azure Data Factory (ADF), Airflow, or similar orchestration frameworks** - Handson experience with **version control and CI/CD pipelines** using **GitHub, Azure DevOps, or GitLab** - Knowledge of **data security, governance, PII handling**, and metadata management (Unity Catalog exposure preferred) - Ability to troubleshoot **performance issues across** **compute, storage, and SQL execution layers** . - Design, build, and maintain **scalable ELT/ETL pipelines** using **Databricks (PySpark/SQL)** and **Snowflake** - Develop **Delta Lake pipelines**, DLT pipelines (optional), and ingestion frameworks for **batch and streaming workloads** - Implement and optimize **Snowflake pipelines** using **Snowflake SQL, Tasks, Streams, and** **Snowpipe** - Create and maintain **star/snowflake schemas, data vault models, and** **optimized** **analytical models** **Preferred candidate profile**