Data Engineer-GCP
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Summary
Designs, builds, and maintains scalable data pipelines and cloud data platforms on GCP, developing ETL/ELT workflows with Python, SQL, and Airflow, optimizing BigQuery workloads, and supporting analytics dashboards in Looker Studio.
We are seeking an experienced Data Engineer to design, develop, and manage scalable data pipelines and cloud data platforms using GCP, Python, SQL, and Airflow.
Key Skills
- Strong Python & SQL experience
- Apache Airflow / Cloud Composer
- ETL/ELT pipeline development and data integration
- Data modelling, transformation and optimization
- Data quality, governance and security
- Experience with batch and real-time data pipelines
- Good to have: PySpark/Spark, Kafka, Docker, CI/CD
Responsibilities
- Build and maintain scalable data pipelines on GCP
- Develop ETL/ELT workflows using Python and SQL
- Design data models and optimize BigQuery workloads
- Support dashboards and analytics using Looker StudioEnsure data quality, security, reliability and performance
- Collaborate with analysts, data scientists and business stakeholders