Data Engineer

Overview

As a Data Engineer, design, develop, and maintain data solutions for data generation, collection, and processing. Create efficient data pipelines, ensure data quality, and implement ETL processes to support data migration, deployment, and broader data infrastructure and analytics needs.

What you'll do

• Design, develop, and maintain comprehensive data solutions.
• Create data pipelines that facilitate smooth data flow across systems.
• Ensure the accuracy and quality of data.
• Implement extract, transform, and load processes to migrate and deploy data across systems.
• Perform independently and become an SME.
• Participate actively and contribute to team discussions.
• Contribute solutions to work-related problems.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
• Monitor and optimize data pipelines to ensure high performance and reliability.
• Document data processes and workflows to maintain clarity and support knowledge sharing.
• Assist junior team members by providing guidance and support in their tasks.

What you'll need

• Minimum 3 year(s) of experience.
• Minimum 3 years of experience in Microsoft Azure Databricks.
• 15 years full time education.
• Proficiency in Microsoft Azure Databricks.
• Experience building and managing scalable data pipelines and workflows using cloud-based platforms.
• Strong knowledge of data integration techniques and ETL processes.
• Familiarity with data storage solutions and data warehousing concepts.
• Ability to troubleshoot and resolve data-related issues efficiently.
• Understanding of data governance and data quality best practices.

Details

• This position is based at the Gurugram office.