Backend / Data Engineer Job Description 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 efficient 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 . Solid understanding of
data transformation and integration . Experience developing
REST APIs . Hands-on experience with
CI/CD, Git, and Dev Ops practices . Strong debugging, troubleshooting, and performance-tuning skills.
Valuable 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 Kanpur (India)
🏢 Tenarai
📍 India