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 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 (Uttar Pradesh)
🏢 Tenarai
📍 Uttar Pradesh
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