Data Engineer

Overview

As a Data Engineer, design, develop and maintain data solutions for data generation, collection and processing. Create data pipelines, ensure data quality, implement ETL processes, and support data migration and deployment across systems.

What you'll do

• Perform independently and become an SME.
• Participate actively and contribute in team discussions.
• Contribute solutions to work-related problems.
• Collaborate with cross-functional teams to gather and analyze data requirements and translate them into technical solutions.
• Monitor and optimize data pipelines to improve performance and reliability.
• Document data processes and workflows to maintain transparency and facilitate knowledge sharing.
• Assist junior team members by providing guidance and support in their tasks.
• Design, develop and maintain comprehensive data solutions that support the generation, collection and processing of data.
• Create efficient data pipelines that facilitate smooth data flow and ensure data integrity and quality throughout its lifecycle.
• Implement processes to extract, transform and load data for migration and deployment across various systems.
• Collaborate with different teams to understand data requirements and optimize data architecture.

What you'll need

• Minimum 3 year(s) of experience is required.
• Minimum 3 years of experience in Databricks Unified Data Analytics Platform.
• Proficiency in Databricks Unified Data Analytics Platform.
• Experience in building and managing scalable data pipelines and workflows.
• Strong knowledge of data integration techniques and ETL processes.
• Familiarity with cloud-based data storage and processing solutions.
• Ability to troubleshoot and resolve data-related issues efficiently.
• Understanding of data governance and data quality best practices.
• 15 years full time education is required.

Details

• This position is based at the Mumbai office.