Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection and processing, including data pipelines, data quality and ETL processes that migrate and deploy data across systems.

What you'll do

• Create data pipelines and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
• Ensure data quality and monitor and optimize data pipelines for performance and reliability.
• Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
• Contribute to team discussions and provide solutions to work-related problems.
• Perform independently and become an SME.

What you'll need

• Minimum 2 years of experience in Databricks Unified Data Analytics Platform.
• Proficiency in Databricks Unified Data Analytics Platform.
• Experience with data integration and ETL tools.
• Strong understanding of data modeling and database design principles.
• Familiarity with cloud platforms and services related to data storage and processing.
• Knowledge of programming languages such as Python or Scala for data manipulation.
• 15 years full time education.

Details

• Based at the Gurugram office.