We are looking for a skilled GCP Data Engineer with 4 positions available, located in Bengaluru or Gurgaon. The ideal candidate will have extensive hands-on experience in object-oriented programming using Python PySpark APIs and building data pipelines for large volumes of data.

Roles and Responsibility
Design and develop scalable data pipelines using GCP services such as Dataflow, Dataproc, and BigQuery.
Build and maintain large-scale data warehouses using ETL concepts and SQL.
Develop optimized queries using SQL BigQuery to extract insights from large datasets.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Ensure data quality and integrity by implementing robust testing and validation procedures.
Participate in code reviews to ensure adherence to coding standards and best practices.

Job Requirements




Extensive hands-on experience in object-oriented programming using Python PySpark APIs.
Experience in building data pipelines for large volumes of data.
Deep understanding of ETL concepts, data warehousing principles, and SQL.
Hands-on experience in writing optimized queries using SQL BigQuery.
Familiarity with CI/CD pipelines such as Jenkins or Github Actions is a plus.
Robust problem-solving skills and attention to detail.

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.

📌 Specialist Data Engineering Haryana
🏢 LTM
📍 Haryana