Capgemini - Google Cloud Platform Data Engineer

Note : Women Candidates Preferred

Description :

- Design, build, and optimize scalable data pipelines using Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.

- Develop and maintain ETL and Medallion Architecture processes and implement efficient data models for analytics and reporting.

- Proficient in Python, PySpark, Scala, and SQL for data processing and analytics in BigQuery.

- Orchestrate workflows using Cloud Composer (Apache Airflow) for scheduling and monitoring.

- Ensure data quality, governance, and performance optimization across pipelines and queries.

- Familiarity with CI/CD pipelines and version control tools like Git, Jenkins.

- Strong problem-solving, analytical, and communication skills.

- Collaborate with data scientists, analysts, and business teams to deliver analytics-ready datasets.