GCP Data Engineer
Summary
Designs, builds, and maintains large-scale data pipelines, warehouses, and data lakes on Google Cloud Platform, covering both batch and real-time ETL/ELT processing for enterprise data platforms. Core stack includes BigQuery, Dataflow, Dataproc, Airflow/Cloud Composer, Python, SQL, and Spark.
Jobe Role: GCP Data Engineer
Experience Range: 5 - 12 Years
Mode of Interview: In-Person (walk-in Interview)
Location: Chennai
We are seeking an experienced GCP Data Engineer with 7-15 years of overall IT experience and strong expertise in designing, developing, and optimizing large-scale data platforms on Google Cloud Platform (GCP). The ideal candidate should possess hands-on experience in data engineering, ETL/ELT development, cloud-native architectures, data warehousing, and big data technologies
Key Responsibilities
- Design, build, and maintain scalable data pipelines on GCP.
- Develop and optimize batch and real-time data processing solutions.
- Implement data ingestion, transformation, and orchestration frameworks.
- Build and maintain enterprise data warehouses and data lakes.
- Work closely with Data Scientists, Analysts, Architects, and Business stakeholders.
- Ensure data quality, governance, security, and compliance standards.
- Optimize performance and cost of GCP data services.
- Support CI/CD, monitoring, and cloud deployment processes.
GCP, Google Cloud Platform, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Airflow, ETL, ELT, Data Engineering, Python, SQL, Spark, PySpark, Data Warehouse, Data Lake, GCS, Terraform, Kafka, Real-time Processing, Big Data, Looker, GKE.