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 ).