Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection and processing, creating data pipelines, ensuring data quality and implementing ETL processes to migrate and deploy data across systems.

What you'll do

• Design, develop and maintain data solutions for data generation, collection and processing.
• Create and manage scalable data pipelines and workflows.
• Implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
• Ensure data quality throughout the data lifecycle.
• Lead the development and optimization of data workflows to improve system efficiency and reliability.
• Monitor, troubleshoot and improve data system performance and reliability.
• Mentor junior team members to support their professional growth and enhance team capabilities.
• Coordinate cross-functional efforts to align data engineering initiatives with broader organizational goals.
• Engage with multiple teams and contribute on key decisions; provide solutions to problems for the immediate team and across teams.

What you'll need

• Minimum 7.5 years of experience in Google Cloud Platform (GCP).
• Proficiency in Google Cloud Platform (GCP).
• DevOps skills.
• Strong experience in designing and managing scalable data pipelines and workflows.
• In-depth knowledge of cloud-based data storage and processing services.
• Ability to implement and optimize ETL processes for large-scale data migration and integration.
• Familiarity with automation and continuous integration/continuous deployment practices within cloud environments.
• Experience with monitoring, troubleshooting and improving data system performance and reliability.
• 15 years full time education.

Details

• Location: Mumbai office.