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Vrinda Global
GCP DATA ENGINEER
Vrinda Global · posted 2 months ago
Gurugram
About the role
Job Description – GCP Data Engineer
Job Title:
GCP Data Engineer
Experience:
5+ Years
Location:
Gurgaon (Hybrid – 3 Days Work from Office)
Role Overview
We are looking for an experienced GCP Data Engineer to design, build, and optimize scalable data pipelines on Google Cloud Platform. The ideal candidate should have strong hands-on experience with Python, PySpark, GCP services, Airflow, BigQuery, and SQL , along with expertise in building reliable and high-performance data solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and PySpark .
- Build and optimize data solutions on Google Cloud Platform (GCP) .
- Develop and manage workflows using Apache Airflow .
- Create and optimize datasets, tables, and queries in BigQuery .
- Write efficient and optimized SQL queries for data transformation and analysis.
- Integrate data from multiple sources while ensuring data quality and consistency.
- Monitor pipeline performance, troubleshoot issues, and implement improvements.
- Collaborate with cross-functional teams including Data Analysts, Data Scientists, and Business stakeholders.
- Follow best practices for coding, testing, deployment, and documentation.
Required Skills
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with Google Cloud Platform (GCP) .
- Proficiency in Python and PySpark .
- Experience with Apache Airflow for workflow orchestration.
- Strong expertise in BigQuery .
- Advanced knowledge of SQL .
- Experience in designing and maintaining ETL/ELT pipelines.
- Good understanding of data warehousing concepts and cloud-based architectures.
- Strong problem-solving and analytical skills.
Good to Have
- Experience with Git, CI/CD, or DevOps practices.
- Exposure to GCP services such as Cloud Storage, Pub/Sub, or Dataflow.
- Knowledge of performance tuning and data pipeline optimization.
Position Details
- Role: GCP Data Engineer
- Experience: 5+ Years
- Location: Gurgaon
- Work Mode: Hybrid (3 Days Work from Office)