Key Responsibilities

Design, develop, and maintain scalable data pipelines using Python and PySpark

Build and optimize batch and near real time data processing workflows

Work on GCP based data platforms, integrating multiple structured and semi structured data sources

Develop data transformations, validations, and enrichment logic aligned to business requirements

Optimize Spark jobs for performance, scalability, and cost efficiency

Collaborate with data architects, platform teams, and downstream consumers

Implement logging, monitoring, and error handling within data pipelines

Ensure adherence to enterprise data governance, security, and compliance standards

Support production deployments and provide L2/L3 support as needed

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Positive to Have / Preferred Skills





Knowledge of Kafka or other messaging systems

Experience with Airflow / Cloud Composer

Containerization and orchestration exposure (Docker / Kubernetes)

CI/CD exposure for data pipelines

Familiarity with data warehousing and analytics use cases

Prior experience in financial services / regulated environments

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr. Data Engineer (Gurugram)
🏢 Zensar
📍 Gurugram