Data Engineer (Databricks)
Tasks
- Architect data lakehouse solutions
- Build ETL processes
- Create documentation
- Deploy data pipelines
- Design data pipelines
- Develop data models and technical standards
- Ensure data quality, governance, and security
- Mentor junior engineers
- Monitor troubleshoot and resolve production pipeline issues
- Optimize data workflows performance and cost
Perks/Benefits
- Additional vacation days
- Flexible work options
- Health insurance
- Hybrid work option
- Internal conferences and meetups
- Mentorship
- Professional training
- Referral program
- Remote work option
- Sports activities
- Technical training
- Work anniversary program
Skills/Tech-stack
Amazon S3 | Apache Spark | Azure | Azure Data | Azure Data Lake | CI/CD | Cloud Storage | Data Governance | Data Lake | Data Lakehouse | Data Processing | Data Quality | Data Security | Data Warehousing | Databricks | Delta Lake | Distributed data | Distributed data processing | ETL | Google Cloud | Google Cloud Storage | Infrastructure as Code | MLflow | NoSQL | Python | Relational databases | SQL | Scala | “as-code”
Education
N/A
Roles
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