Data Engineer (Databricks)
Tasks
- Architect data lakehouse solutions
- Build ETL processes
- Deploy data workflows
- Design scalable data pipelines
- Develop data models and documentation
- Ensure data quality
- Implement data governance, security, and compliance
- Mentor junior engineers
- Monitor troubleshoot and resolve production pipeline issues
- Optimize pipeline performance and cost
Perks/Benefits
- Additional vacation days
- English courses
- Flexible work remote and hybrid
- Health insurance
- Internal conferences and meetups
- Mentorship
- Non technical training
- Referral program
- Sports activities
- Technical training
Skills/Tech-stack
Amazon S3 | Apache Spark | Azure | CI/CD | Cloud Storage | Data Governance | Data Lakehouse | Data Modeling | Data Processing | Data Security | Data Warehousing | Databricks | Delta Lake | Distributed data | Distributed data processing | ETL | Google Cloud | Google Cloud Storage | Infrastructure as Code | MLflow | Python | SQL | Scala | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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