Senior Data Engineer Databricks (m/f/d)
Tasks
- Build data lake data warehouse and lakehouse pipelines
- Collaborate with architects analysts BI and data science teams
- Define data engineering standards and best practices
- Define data quality controls and validations
- Design and evolve ETL/ELT pipelines
- Document data architecture and critical workflows
- Ensure pipeline reliability in production
- Establish data lineage and traceability
- Implement data ingestion transformation and persistence
- Optimize data pipeline performance and scalability
- Provide technical leadership for data engineering team
- Review code and mentor team members
Perks/Benefits
- Childcare support
- Coursera access
- Experience days
- Flexible schedule
- Free access to health and wellness specialists
- Hybrid work
- Language classes
- Legal advice support
- Life and accident insurance
- Medical insurance
- Mentoring programs
- Paid vacation
- Restaurant tickets
- Sick leave coverage
- Social fund
- Telemedicine
- Transportation support
Skills/Tech-stack
Agile | Amazon Web Services | Apache Spark | Azure | CI/CD | Cloud Computing | Cloud platform | Data Lake | Data Lineage | Data Quality | Data Reconciliation | Data Validation | Data Warehouse | DataOps | Databricks | Distributed Computing | ELT | ETL | Git | Google Cloud | Google Cloud Platform | Lakehouse | PySpark | Python | SQL | Web Services
Education
N/A
Roles
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