M22 - Data Engineer
Tasks
- Build ETL/ELT pipelines
- Collaborate with business stakeholders
- Design data pipelines
- Design database solutions
- Develop backend APIs
- Develop data warehouses
- Ensure data quality
- Ensure data security
- Implement data governance
- Implement real-time data pipelines
- Integrate data from multiple sources
- Maintain data lakes
- Maintain technical documentation
- Optimize data processing
- Participate in agile development
- Perform code reviews
- Provide operational support
- Support reports and dashboards
- Troubleshoot incidents
Perks/Benefits
- N/A
Skills/Tech-stack
AWS DMS | AWS Glue | AWS Lambda | Access Control | Agile | Amazon Athena | Amazon ECS | Amazon EventBridge | Amazon S3 | Apache Hadoop | Apache Kafka | Apache Spark | BeautifulSoup | Big Data | CI/CD | Cassandra | Data Governance | Data Lakes | Data Marts | Data Modelling | Data Security | Data Warehousing | Data virtualization | ELT | ETL | Linux | MongoDB | MySQL | Node.js | Pandas | PostgreSQL | Python | REST API | RabbitMQ | SQL | SQLite | SSIS | Selenium | Spring | Web Scraping | Windows
Education
N/A
Roles
Backend | Backend Developer | Data Engineer | Developer | Engineer
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