Senior Data Analytics Engineer (Databricks)
Tasks
- Build and productionize datasets in Databricks
- Build documentation and quality checks
- Design scalable data models and pipelines
- Develop data solutions from definition to deployment
- Ensure data quality and reliability
- Improve performance and cost-efficiency of data environment
- Lead data architecture decisions
- Partner with teams to deliver solutions
- Review and improve data platform
- Review data pipelines and costs
Perks/Benefits
Skills/Tech-stack
ARM | AWS | Azure | Bash | CI/CD | Cloud CLI | CloudFormation | Data Modeling | Data Optimization | Data Pipelines | Data Processing | Databricks | Distributed data | Distributed data processing | Docker | Lakehouse | Large Datasets | NoSQL | Python | SQL | System design | Terraform
Education
Roles
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