Job Summary

We are looking for an experienced Snowflake Data Engineer with strong expertise in Snowflake, Python, SQL, PySpark/Snowpark, and AWS. The ideal candidate should have hands-on experience designing scalable data pipelines, optimizing Snowflake workloads, building cloud-based data solutions, and implementing ETL/ELT frameworks in up-to-date data platforms.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines using PySpark/Snowpark and Python.

- Develop and optimize complex SQL queries for large-scale data processing.

- Build, manage, and optimize data solutions on Snowflake.

- Implement data transformation frameworks using DBT.

- Work with Snowflake features such as SnowSQL, Snowpipe, Time Travel, Data Cloning, Data Sharing, and Access Control.

- Design and manage Snowflake objects including databases, schemas, tables, views, stages, and virtual warehouses.

- Integrate cloud data solutions using AWS services such as S3, Lambda, and SNS.

- Implement workflow orchestration using Apache Airflow.

- Optimize Snowflake performance, workload management, and cost efficiency.

- Collaborate with cross-functional teams to deliver high-quality data solutions.

📌 Snowflake Data Engineer (Bengaluru)
🏢 TEKsystems
📍 Bengaluru