This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in India.

This role offers the opportunity to help build, maintain, and modernize a growing data platform in a cloud-first environment. You will design reliable data pipelines and scalable data solutions that enable teams to access and use high-quality information effectively. The role combines up-to-date AWS infrastructure with opportunities to improve and transition legacy data processes. You will work across batch and real-time data workflows, APIs, integrations, and data warehouse solutions. Collaboration with analytics teams and other stakeholders will be central to understanding requirements and delivering practical solutions. This is a hands-on opportunity to improve data reliability, performance, security, and quality while contributing to the evolution of the broader data architecture.

Accountabilities
- Design, develop, and maintain scalable and reliable data pipelines and Extract, Transform, Load (ETL) and Extract, Load,



Transform (ELT) processes.
- Develop, maintain, and optimize data warehouse solutions and data models.
- Build and maintain data infrastructure primarily on Amazon Web Services (AWS), while supporting relevant legacy systems.
- Develop APIs and data integrations to enable effective data exchange across systems.
- Contribute to real-time data pipelines and processing using Apache Kafka.
- Automate and optimize data processes, workflows, and operational tasks.
- Monitor, troubleshoot, and continuously improve the reliability, performance, security, and data quality of pipelines and infrastructure.
- Work closely with analytics teams and other stakeholders to understand data requirements and deliver effective technical solutions.
- Maintain accurate and up-to-date documentation covering pipelines, infrastructure, workflows, and operational processes.
- Contribute to the modernization of legacy da

📌 Data Engineer (India)
🏢 Jobgether
📍 India