Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection, and processing, including data pipelines, data quality and ETL processes that migrate and deploy data across systems.

What you'll do

• Design, develop and maintain data solutions for data generation, collection, and processing.
• Create data pipelines and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
• Ensure data quality.
• Collaborate with cross-functional teams to understand data requirements and provide solutions that enhance data accessibility and usability.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for your immediate team and across multiple teams.
• Mentor junior team members to enhance their skills and knowledge in data engineering.

What you'll need

• Minimum 5 years of experience with Snowflake Data Warehouse.
• Proficiency in Snowflake Data Warehouse.
• Strong experience with ETL processes and data pipeline development.
• Familiarity with data modeling and database design principles.
• Proficient in SQL and data querying techniques.
• Experience with data quality frameworks and data governance practices.
• 15 years full time education.

Details

• Based at the Mumbai office.