Data Engineer

Overview

Design, develop and maintain data solutions for data generation, collection and processing, creating data pipelines, ensuring data quality 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 implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
• Ensure data quality and the accuracy and reliability of data.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Monitor and troubleshoot data pipelines to ensure uninterrupted data flow and system performance.
• Document data processes and workflows to maintain clarity and support knowledge sharing.
• Assist junior team members by providing guidance and support to foster their professional growth.
• Perform independently and become an SME; actively participate and contribute in team discussions and provide solutions to work-related problems.

What you'll need

• Minimum 3 years of experience in AI Agents & Workflow Integration.
• Proficiency in AI Agents & Workflow Integration.
• Automation Integration.
• Experience in designing and managing data pipelines and ETL processes.
• Strong knowledge of data architecture and data modeling principles.
• Ability to optimize data workflows for performance and scalability.
• Experience with monitoring and debugging data processing systems.
• 15 years full time education.

Nice to have

• Familiarity with cloud-based data platforms and integration tools.

Details

• Location: Hyderabad office.