Senior Data Engineer (Databricks)
WARSAW PLANT & GO, Poland
PLN 203K-300K (estimate) Senior-level Full Time
Tasks
- Author runbooks architecture diagrams and knowledge base articles
- Build automation for deployment validation refresh and reconciliation
- Deploy and manage Kafka and HVR components on Kubernetes and Azure
- Design build and improve pipelines for SAP to downstream
- Develop and improve Kafka topics connectors schemas and stream processing jobs
- Enforce security RBAC secrets management and network segmentation
- Implement data quality and contract testing frameworks
- Maintain CI/CD pipelines and infrastructure-as-code
- Partner with SAP Basis Network and Security teams
- Tune CDC capture and integrate jobs for throughput lag and resource efficiency
Perks/Benefits
- Hybrid work model
- Private healthcare
- Savings plan
- Sport cards
- Stock plan
- Training and certification paths
Skills/Tech-stack
Amazon Web Services | Apache Flink | Apache Kafka | Avro | Azure | Azure DevOps | Azure Event | Azure Event Hubs | Azure Key Vault | Azure Monitor | Azure Storage | Bash | Bicep | CI/CD | Cloud platform | Confluent Platform | Databricks | Debezium | Delta Lake | ELK Stack | Event Hubs | GitHub Actions | Google Cloud | Google Cloud Platform | Grafana | HVR | IaC | Jenkins | Kafka Connect | Kafka Streams | Key Vault | Kubernetes | Linux | Log Analytics | Powershell | Prometheus | Python | REST APIs | REST clients | SQL | Schema Registry | Spark SQL | Splunk | T-SQL | Terraform | Unity Catalog | Web Services
Education
N/A
Roles
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