We are looking for a GCP Data Engineer with strong experience in designing, developing, and maintaining scalable data pipelines on Google Cloud Platform. The ideal candidate should have hands-on expertise in BigQuery, Dataflow, Airflow, Python, and PySpark to build robust data processing and analytics solutions.

Key Responsibilities:
- Design, develop, and optimize end-to-end data pipelines on Google Cloud Platform (GCP).
- Build and manage large-scale data ingestion and transformation processes using Dataflow and PySpark.
- Develop and maintain data warehousing solutions using BigQuery.
- Create, schedule, and monitor workflows using Apache Airflow.
- Write efficient and scalable code using Python for data engineering use cases.
- Implement ETL/ELT processes to support business reporting and analytics requirements.




- Collaborate with data analysts, architects, and business stakeholders to deliver data solutions.
- Ensure data quality, performance optimization, security, and adherence to best practices.

Required Skills:
- Strong experience with Google Cloud Platform (GCP).
- Hands-on expertise in BigQuery, Dataflow, and Airflow.
- Proficiency in Python and PySpark.
- Experience building and optimizing ETL/ELT pipelines.
- Valuable understanding of data warehousing, data modeling, and distributed data processing.
- Experience with CI/CD and version control tools is an added advantage.

Experience: 5+ Years (can be adjusted based on requirement)

📌 Gcp Data Engineer (India)
🏢 EY
📍 India