Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection and processing, creating data pipelines and implementing 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 and ensure data quality.
• 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 solutions that meet business needs.
• Troubleshoot issues that arise in the data flow and processing stages.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for your 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 years of experience in Google Cloud Platform Architecture.
• Proficiency in Google Cloud Platform Architecture.
• 15 years full time education.
• Strong understanding of data modeling and database design principles.
• Experience with data warehousing solutions and ETL tools.
• Familiarity with programming languages such as Python or Java for data manipulation.

Nice to have

• Experience with Google Looker Data Platform.

Details

• Based at the Hyderabad office.