Data Engineer
Warsaw
PLN 258K-384K (estimate) Senior-level Full Time Found 2d ago
Tasks
- Build data validation suites
- Build scalable data architecture
- Collaborate with data scientists and analysts
- Collaborate with data teams
- Develop REST APIs
- Develop data procedures
- Drive technological innovation
- Identify bottlenecks
- Implement data governance and access control
- Implement data monitoring and anomaly detection
- Implement monitoring, logging, and alerting
- Modernize data frameworks
- Optimize cloud data infrastructure
- Optimize data transformations
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Alerting | Apache Spark | BigQuery | CD pipelines | CI/CD | CI/CD pipelines | Cloud-based | Cloud-based data engineering | Data Engineering | Data Governance | Data Lakes | Data Modeling | Data Pipelines | Data Processing | Data Quality | Data Validation | Data quality frameworks | Data quality principles | Databricks | Distributed data | Distributed data processing | Flink | Great Expectations | Kafka | Kubernetes | Lakehouse architectures | Logging | Metadata Management | Monitoring | PySpark | Python | Quality frameworks | Quality principles | SQL | Scala | Snowflake | Streaming Data | Streaming data pipelines | Terraform
Education
N/A
Roles
Language: en |
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