Snowflake Data Engineer

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 modern 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.