Engineer - Data Engineering
LKR 960K-960K (estimate) Entry-level Full Time
Tasks
- Apply devops practices across software lifecycle
- Build distributed high availability data processing applications on AWS
- Collaborate in cross-functional agile team
- Deliver end to end project lifecycle analysis development deployment monitoring troubleshooting
- Design scalable data solutions for analytics use cases
- Develop and maintain data pipelines
- Follow software engineering best practices for code quality
- Implement CI/CD for data solutions
- Integrate multiple source systems and targets
Perks/Benefits
- Academic allowance
- Health and life insurance
- Health and wellness allowance
- Hybrid work
- Overseas travel opportunities
- Paid birthday leave
- Performance bonus
- Performance rewards and recognition
- Team engagement allowance
Skills/Tech-stack
API Integration | AWS Database | AWS Database Migration Service | AWS Fargate | AWS Glue | AWS Lambda | AWS database migration | Amazon Aurora | Amazon DMS | Amazon EC2 | Amazon ECS | Amazon EKS | Amazon EMR | Amazon Redshift | Amazon Redshift Spectrum | Amazon S3 | Apache Airflow | Apache Hive | Apache Spark | CI/CD | Database Migration Service | Datadog | DevOps | ELT | ETL | GitHub | GitLab | Jenkins | Kafka | NoSQL | Python | Redshift Spectrum | SQL | Scrum | Shell
Education
N/A
Roles
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