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 ResponsibilitiesDesign, 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 Qualifications8–12 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.Robust proficiency in modern DevOps practices, Git, and CI/CD pipelines.Exceptional debugging and root-cause analysis skills.Preferred SkillsCloud data platforms ( AWS, Azure, or GCP ) and modern data lake architectures.Workflow orchestration tools (e.g.,

Apache Airflow ).Containerization and orchestration ( Docker, Kubernetes ).

📌 Data Engineer (Mumbai)
🏢 Tenarai
📍 Mumbai