GCP Data Engineer
Tasks
- Automate pipeline monitoring and execution
- Build analytics-ready datasets
- Collaborate with cross-functional teams on data requirements
- Create modular reusable data models
- Design scalable data integration pipelines
- Develop Python and SQL for data processing
- Implement data quality checks and testing
- Implement dbt data transformations
- Maintain technical documentation and CI CD workflows
- Mentor junior engineers and lead code reviews
- Optimize BigQuery partitioning and clustering
- Orchestrate data workflows with Airflow
Perks/Benefits
Skills/Tech-stack
Agile | Apache Airflow | Ascend.io | CI/CD | Cloud Composer | Clustering | Collibra | DBT | Data Governance | Data Quality | Databricks | Dataflow | ELT | ETL | Fivetran | Git | Google BigQuery | Infrastructure automation | Kafka | Kanban | Partitioning | PubSub | Python | Query Optimization | SQL | Scrum
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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