Senior Data Engineer
Tasks
- Build ELT and ETL processes
- Design batch and streaming pipelines
- Ensure data quality and reliability
- Implement infrastructure-as-code
- Integrate third party data sources with REST APIs
- Model data for analytics and machine learning
- Orchestrate workflows with Airflow
- Own and evolve data pipelines on GCP
- Partner on feature pipelines
Perks/Benefits
- Annual Leave Days
- Conference participation
- Flexible remote work
- Free lunch and snacks
- Full access to lab offerings
- Paid paternity leave
- Private health care
- Training budget
Skills/Tech-stack
Airflow | Apache Beam | BigQuery | Bigtable | CDC | CI/CD | ClickHouse | Cloud Composer | Cloud Storage | DBT | Data Drift | Data drift monitoring | Dataflow | Datastream | Debezium | Docker | Drift monitoring | Feature Engineering | Feature Store | Feature Stores | Flink | GCP | GitHub Actions | Infrastructure as Code | Kafka | Kubernetes | Online Inference | Pub/Sub | Python | SQL | Spark Structured Streaming | Structured Streaming | Vertex AI | “as-code”
Education
N/A
Roles
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