Sr. Data Engineer - Data Engineering 4B

Overview

Build and support Snowflake-based data engineering solutions, including pipelines, ELT processes, data models, ingestion frameworks, and production support.

What you'll do

• Develop and maintain Snowflake data pipelines and ELT processes.
• Build SQL data models, views, stored procedures, tasks, and streams.
• Develop ingestion frameworks using Snowpipe, external stages, and cloud storage integrations.
• Implement ETL/ELT solutions with Python, Snowpark, and orchestration tools.
• Validate, reconcile, and monitor data pipelines across source and target systems.
• Support Snowflake administration, performance tuning, deployments, and incident resolution.
• Maintain technical documentation, metadata, lineage, and runbooks.

What you'll need

• 4–7 years of data engineering experience.
• At least 2 years of hands-on Snowflake experience.
• Strong SQL development skills.
• Experience with Python and Snowpark.
• Experience with Azure Blob Storage, ADLS, or AWS S3.
• Familiarity with Azure Data Factory, Airflow, or similar tools.
• Knowledge of dimensional modeling, data warehousing, Git, and DevOps practices.

Details

• Hybrid work mode.
• Regular employment type.
• Day shift in India.
• Location: Bangalore, Karnataka, India.