Data Developer Sênior
Tasks
- Apply MLOps practices for data and machine learning
- Build data processing jobs with PySpark
- Deploy AI and machine learning models to production
- Design scalable data models
- Develop and maintain ETL/ELT pipelines
- Document data architectures and engineering standards
- Implement CI CD deployment workflows
- Integrate data across relational and non relational databases
- Monitor data quality and consistency
- Query and transform data using SQL
- Support cloud migration for data platforms
Perks/Benefits
- Additional development opportunities
- Childcare assistance
- Continuous learning opportunities
- Dental insurance
- Discounts through corporate discount club
- Extended parental leave
- Food allowances
- Gym partnerships
- Health insurance
- Language learning platform
- Life insurance
- Meal allowances
- Profit sharing
Skills/Tech-stack
AI | Azure | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Azure Machine Learning | CI/CD | Data Factory | Data Governance | Data Lake | Data Management | Data Modeling | Data Quality | Data Security | Data Warehouse | Databricks | GitHub | MLOps | MLflow | Machine Learning | Master Data | Master Data Management | Medallion Architecture | MongoDB | PySpark | Python | SQL
Education
N/A
Roles
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