Data Engineer
Tasks
- Build and maintain analytics ready data models
- Conduct root cause analysis
- Design and develop scalable data pipelines
- Design batch and near real time ingestion
- Develop reusable ingestion and analytics frameworks
- Document data pipeline processes and configurations
- Ensure data security and governance
- Implement ETL workflows with Airflow
- Implement data quality checks
- Load data into BigQuery and Cloud SQL
- Monitor data accuracy and consistency
- Optimize BigQuery queries and data models
- Participate in code reviews
- Troubleshoot production incidents
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Apache Airflow | Batch Processing | BigQuery | CDC | CI/CD | Cloud Build | Cloud Composer | Cloud Functions | Cloud Run | Cloud SQL | Cloud Scheduler | Cloud Storage | Cloud platform | Data Governance | Data Pipelines | Data Quality | Dataflow | Dataproc | ELT | ETL | Flink | Google Cloud | Google Cloud Composer | Google Cloud Platform | Infrastructure as Code | Kafka | Kinesis | MySQL | Near-real-time | Near-real-time Processing | NoSQL | Oracle | PostgreSQL | PubSub | Real-time Processing | SQL | SQL Server | Spark Streaming | Streaming Data | Time processing | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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