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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. Strong proficiency in modern DevOps practices, Git, and CI/CD pipelines. Exceptional debugging and root-cause analysis skills. Preferred Skills Cloud data platforms ( AWS, Azure, or GCP ) and modern data lake architectures. Workflow orchestration tools (e.g., Apache Airflow ). Containerization and orchestration ( Docker, Kubernetes ).