Data Engineer
Tasks
- Build Data Lakes and Data Warehouses
- Design ETL/ELT pipelines
- Develop data ingestion and transformation processes
- Ensure data quality governance security and availability
- Implement version control testing CI CD with Git
- Improve scalability performance and reliability through automation
- Optimize database performance and manage large datasets
- Orchestrate workflows with Apache Airflow
- Process data with Apache Spark and Hadoop
- Support cloud-based data solutions
- Transform raw data into actionable datasets
Perks/Benefits
- Entrepreneurship and intrapreneurship
- Internal R and D projects
- International mobility
- Knowledge sharing
- Personalized training
Skills/Tech-stack
AWS | Amazon Web Services | Apache Airflow | Apache Spark | Azure | CI/CD | Cassandra | Cloud platform | Data Governance | Data Lake | Data Security | Data Warehouse | ELT | ETL | GCP | Git | Google Cloud | Google Cloud Platform | Hadoop | Microsoft Azure | MongoDB | NoSQL | PostgreSQL | Python | SQL | SQL Server | Scala | Testing | Web Services
Education
N/A
Roles
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