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, implement ETL processes, and support data migration and deployment across systems.

What you'll do

• Design, develop and maintain comprehensive data solutions.
• Create efficient data pipelines.
• Ensure the integrity and quality of data throughout its lifecycle.
• Implement processes for smooth migration and deployment of data across various systems.
• 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.
• Assist junior team members in understanding project requirements and best practices.
• Perform independently and become an SME.
• Participate actively and contribute in team discussions.
• Contribute solutions to work-related problems.

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 in 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

• This position is based at the Pune office.