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, and implement ETL processes to migrate and deploy data across systems.

What you'll do

• Design, develop, and maintain data solutions that facilitate data generation, collection, and processing.
• Create data pipelines.
• Ensure data quality.
• Implement ETL processes to migrate and deploy data across various systems.
• Collaborate with cross-functional teams to understand their data needs and provide effective solutions.
• Collaborate and manage the team to perform.
• Make team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for the immediate team and across multiple teams.
• Mentor junior team members to enhance their skills and knowledge in data engineering.
• Continuously evaluate and improve data processes to enhance efficiency and effectiveness.

What you'll need

• Minimum 5 year(s) of experience.
• Minimum 5 years of experience in Databricks Unified Data Analytics Platform.
• Proficiency in Databricks Unified Data Analytics Platform.
• 15 years full time education.
• Strong understanding of data modeling and database design principles.
• Experience with programming languages such as Python or Scala for data processing.
• Familiarity with data warehousing concepts and tools.

Nice to have

• Experience with cloud platforms such as AWS or Azure.

Details

• This position is based at the Bengaluru office.