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

• 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 understand data requirements and deliver scalable solutions.
• Monitor and optimize data workflows to improve performance and reliability.
• Document data processes and maintain clear communication with stakeholders.
• Support junior team members by sharing knowledge and assisting with technical challenges.
• Design, develop and maintain data solutions for data generation, collection and processing.
• Create efficient data pipelines that facilitate smooth data flow across systems.
• Ensure data accuracy and quality.
• Implement extract, transform and load processes to migrate and deploy data across systems.

What you'll need

• Minimum 3 year(s) of experience.
• Minimum 3 years of experience in PySpark.
• 15 years full-time education.
• Proficiency in PySpark.
• Experience building and managing scalable data pipelines and workflows.
• Strong knowledge of data processing frameworks and distributed computing.
• Ability to troubleshoot and optimize complex data processing tasks.
• Familiarity with data storage solutions and data integration techniques.
• Understanding of data quality assurance and validation methods.

Details

• Based at the Bengaluru office.