Senior data engineer

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. Strong 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.

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