Databricks Engineer
Job Description: Role Descriptions:
- Application and integration architecture| Java/React/Python full-stack design| KONG API gateway| Kafka/event streaming| AWS cloud-native patterns| PostgreSQL/RDS| security| scalability and Life & Annuity modernization alignment.
- Databricks Lakehouse leadership| workspace administration| Delta Lake| PySpark| Unity Catalog| MLflow| AWS integration| CI/CD| performance optimization| governance and delivery coordination.
- Enterprise data architecture| Databricks Lakehouse| Delta Lake| data modeling| Unity Catalog governance| AWS data services| metadata management| security| integration and insurance data domains.
- Databricks| PySpark| Spark SQL| Delta Lake| Auto Loader| Structured Streaming| AWS S3 ingestion| workflow orchestration| performance tuning| CI/CD and production data pipelines.
- Business/data analysis| SQL| Power BI| KPI definition| requirements elicitation| data visualization| root-cause analysis| stakeholder engagement and Life & Annuity analytics support.
- Enterprise Data Solution Architect
- Databricks POD LeadData Architect
- Senior Databricks Data Engineer
- Product Analyst / Data Analyst