Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection and processing, including data pipelines, data quality and 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 data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Document data processes and workflows to maintain clarity and support knowledge sharing.
• Assist junior team members by providing guidance and support in their tasks.
• Contribute to team discussions and provide solutions to work-related problems.

What you'll need

• Minimum 2 years of experience in Google BigQuery.
• Proficiency in Google BigQuery.
• Experience in designing and optimizing data pipelines for large-scale data processing.
• Strong knowledge of data integration and ETL methodologies.
• Familiarity with cloud-based data storage and processing platforms.
• Ability to work with structured and unstructured data to ensure data quality and consistency.
• 15 years full time education.

Details

• Based at the Pune office.