Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection and processing, creating data pipelines and ETL processes that migrate and deploy data across systems. Work as an SME who collaborates with and manages a team and engages with multiple teams on key decisions.

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 their data needs and provide effective solutions.
• Collaborate and manage the team to perform; take responsibility for team decisions.
• Provide solutions to problems for the immediate team and across multiple teams.
• Mentor junior team members to enhance their skills and knowledge in data engineering.
• Continuously evaluate and improve data processes to enhance efficiency and effectiveness.

What you'll need

• Must have: proficiency in Snowflake Data Warehouse.
• Minimum 7.5 years of experience in Snowflake Data Warehouse.
• Educational qualification: 15 years full time education.
• Experience with data modeling and database design.
• Strong understanding of ETL processes and data integration techniques.
• Familiarity with cloud platforms and services related to data storage and processing.
• Knowledge of data governance and data quality best practices.

Details

• Location: Mumbai office.