Backend & Data Engineer
Role Overview: 8–12 Years
Location: Noida/ Mumbai/ Pune/ Bangalore/ Kochi
We are seeking an experienced engineer to architect, modernize, and own our end-to-end batch data infrastructure, ETL workflows, and backend services. Key Responsibilities Design, migrate, and operate highly scalable batch data pipelines and ETL workflows. Develop high-volume data transformation solutions using
Java ,
Python , and
Apache Spark . Build and integrate robust REST APIs to connect data systems with backend services. Monitor, troubleshoot, and performance-tune production pipelines for maximum reliability. Drive CI/CD automation, version control, and engineering best practices across the team. Required Qualifications 8–12 years




of hands-on experience in backend and data engineering. Deep expertise in
Java ,
Python , and distributed processing via
Apache Spark . Proven track record building and migrating large-scale data integrations and REST APIs. Solid proficiency in contemporary Dev Ops practices, Git, and CI/CD pipelines. Exceptional debugging and root-cause analysis skills. Preferred Skills Cloud data platforms ( AWS, Azure, or GCP ) and contemporary data lake architectures. Workflow orchestration tools (e.g.,
Apache Airflow ). Containerization and orchestration ( Docker, Kubernetes ).

📌 Data Engineer Kanpur (India)
🏢 Tenarai
📍 India