Required Skills
- Strong experience in Google Cloud Platform (GCP)
- Hands-on experience in BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub
- Strong coding skills in Python and PySpark
- Experience in ETL/ELT pipeline development
- Strong SQL and Spark SQL knowledge
- Experience with batch and real-time data processing
- Good understanding of data warehousing and cloud data architecture
- Experience in performance tuning and optimization of Spark jobs
- Knowledge of Airflow/Composer orchestration
- Experience with Git and CI/CD processes
Responsibilities
- Design and develop scalable data pipelines on GCP
- Build and optimize PySpark-based data processing applications
- Develop and maintain ETL workflows
- Work with large-scale structured and unstructured datasets
- Implement data quality and monitoring solutions
- Collaborate with cross-functional teams for data integration and analytics
- Troubleshoot and optimize production data pipelines
Preferred
- GCP Qualified Data Engineer Certification
- Experience with Kafka or streaming technologies
- Knowledge of Terraform or Docker is an added advantage
If you are interested in this opportunity, please click on the Apply Now button to submit your application.
📌 Senior GCP Data Engineer (Karnataka)
🏢 ALAMANCE IT SOLUTIONS
📍 Karnataka
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