GCP Data Engineer

Position: GCP Data Engineer (L3)
Experience: 5 8 Years
Qualification: BE / B.Tech (Mandatory)
Location: Bangalore, Pune, Chennai, Kolkata, Gurugram
Employment Type: Full-Time
CTC: Up to 25 LPA

• Google Cloud Platform (GCP)
• Google Cloud Storage (GCS)
• BigQuery
• Dataflow
• Dataproc
• PySpark
• Apache Airflow
• Pub/Sub
• Python
• SQL
• ETL/ELT Development
• Data Warehousing Concepts

We are seeking an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines on Google Cloud Platform. The ideal candidate should have strong expertise in building data ingestion, transformation, and processing solutions using GCP services and big data technologies.

• Design and develop scalable data pipelines using GCP services.
• Build and maintain ETL/ELT workflows using Python, SQL, PySpark, and Airflow.
• Develop data processing solutions using Dataflow and Dataproc.
• Implement real-time data ingestion using Pub/Sub.
• Design and optimize data models and data warehouses using BigQuery.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Collaborate with Data Scientists, Analysts, and Business teams to deliver data solutions.
• Ensure data quality, governance, security, and compliance standards.
• Automate deployment and maintenance of data engineering workflows.

• 5 8 years of experience in Data Engineering.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in BigQuery, GCS, Dataflow, Dataproc, and Pub/Sub.
• Strong programming skills in Python and SQL.
• Experience working with PySpark and distributed data processing frameworks.
• Experience in workflow orchestration using Apache Airflow.
• Knowledge of data warehousing, data modeling, and performance tuning.
• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management skills.

• GCP Professional Data Engineer Certification.
• Experience with CI/CD pipelines and DevOps practices.
• Exposure to real-time streaming architectures.
• Knowledge of Kubernetes and containerization technologies.