Data Engineer
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Summary
Senior backend & data engineer (8–12 yrs) who designs, migrates, and owns scalable batch data pipelines and ETL workflows, and builds REST APIs tying data systems to backend services. Core stack: Java, Python, Apache Spark, with Git/CI-CD and optionally cloud data platforms and Airflow/Docker/Kubernetes.
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).