Data Engineer
Tasks
- Build and manage cloud access permissions
- Build data extraction and transformation pipelines
- Deploy and monitor data pipelines
- Design data products fit for use
- Design scalable data models and schemas
- Develop end to end data delivery process
- Document data engineering solutions
- Engineer high performance batch and real time pipelines
- Ensure high data quality and accuracy
- Implement process and quality improvements
- Orchestrate workflows with Apache Airflow DAGs
- Translate requirements into data points
- Troubleshoot complex data challenges
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Apache Airflow | Artifact Registry | BigQuery | CI/CD | Cloud Composer | Cloud Dataflow | Cloud Monitoring | Cloud Run | Cloud SQL | Cloud SQL for PostgreSQL | Cloud Secret Manager | Cloud Spanner | Cloud Storage | Cloud platform | DBT | Data Architecture | Data Ingestion | Data Modeling | Data Pipelines | Data Transformation | Database Design | Directed Acyclic Graph | Directed Acyclic Graph DAG | Eventarc | GitLab | Google Cloud | Google Cloud Platform | IAM | Jenkins | Pub/Sub | Python | Reverse ETL | Scrum | Secret Manager | Terraform | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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