Senior Data Engineer Consultant (Databricks)
Tasks
- Assess data platforms and pipelines
- Build Lakehouse architectures
- Collaborate with architects, data scientists, and stakeholders
- Communicate technical decisions
- Create CI/CD pipelines
- Deploy machine learning workflows to production
- Design Databricks based data solutions
- Develop parameterized ingestion frameworks
- Enforce Databricks best practices
- Implement medallion architecture
- Improve performance cost security and maintainability
- Lead and mentor data engineering teams
Perks/Benefits
- Coaching
- Continuing education access
- Flexible work from home
- Health insurance
- Hybrid work
- Language courses
- Paid vacation
- Retirement plan
- Telecommunications reimbursement
- Wellness allowance
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Spark | Asset bundles | Azure | CI/CD | Cloud platform | Cloud services | DBT | Data Governance | Data Security | Databricks | Databricks (asset) | Databricks Asset Bundles | Feature Store | Google Cloud | Google Cloud Platform | Lakehouse | MLOps | MLflow | Machine Learning | Medallion Architecture | Model Registry | Parameterized Ingestion | PySpark | Unity Catalog | Web Services
Education
N/A
Roles
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