Hiring: Data Engineer

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).