Backend / Data Engineer Role:

Backend / Data Engineer

Experience

8+ Years

Location

Noida, Mumbai, Pune, Bangalore, Kochi

Employment Type

Full time

Role Overview

We are looking for a skilled

Backend/Data Engineer to design, migrate, develop, and operate scalable batch data pipelines. The role involves end-to-end ownership of

ETL workflows, data transformations, backend services, and data processing using modern engineering practices.

Key Responsibilities Migrate and modernize end-to-end batch data pipelines , including ETL workflows and data transformations. Design, develop, and maintain scalable data pipelines using

Apache Spark, Java, and Python . Build and integrate

REST APIs for data and backend services. Develop productive data transformation and processing solutions for large datasets. Monitor, troubleshoot, and optimize production data pipelines for reliability and performance. Implement automated deployment and release processes using

CI/CD pipelines . Collaborate with engineering, data,



and business teams to understand requirements and deliver robust solutions. Follow best practices for code quality, testing, version control, documentation, and production support.

Required Skills Strong hands-on experience with

Java and Python . Expertise in

Apache Spark and distributed data processing. Experience building, migrating, and operating batch data pipelines and ETL workflows . Strong understanding of data transformation and integration . Experience developing

REST APIs . Hands-on experience with

CI/CD, Git, and DevOps practices . Strong debugging, troubleshooting, and performance-tuning skills.

Good to Have Experience with cloud data platforms such as

AWS/Azure/GCP . Knowledge of data lakes, databases, and modern data engineering architectures. Experience with workflow orchestration tools such as

Airflow or similar platforms. Exposure to containerization and

Kubernetes/Docker

📌 Senior Data Engineer (Sector 27)
🏢 Tenarai
📍 Sector 27