Data Engineer - A26106
Tasks
- Build ETL processes
- Collaborate with stakeholders on data requirements
- Conduct testing and support data queries
- Create technical documentation
- Deploy machine learning models with AWS Sagemaker
- Design data pipelines
- Develop Python scripts in AWS Glue
- Develop RESTful APIs
- Develop data models
- Ensure data system integration
- Implement CI/CD pipelines
- Implement data security and compliance
- Implement master data management
- Maintain data warehouses and data lakes
- Tune database performance
- Write SQL queries and stored procedures
Perks/Benefits
- Coaching and mentoring
- Employee wellness program
- Growth opportunities
- Structured development framework
Skills/Tech-stack
AWS Glue | Agile | Amazon Athena | Amazon RDS | Amazon S3 | Amazon SageMaker | CI/CD | Data Governance | Data Lake | Data Management | Data Modeling | Data Store | Data Warehouse | Data virtualization | Denodo | ER/Studio | ETL | GitLab | Machine Learning | Master Data | Master Data Management | Operational data | Operational data store | Power BI | Python | REST API | SQL | Tableau | VQL
Education
N/A
Roles
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