Data Engineer
Tasks
- Automate recurring data engineering workflows
- Build automation systems for cloud cost intelligence
- Create data tooling for cost aware decisions
- Design scalable data pipelines
- Develop datasets and data models
- Ensure data quality validation and auditability
- Implement monitoring testing version control and infrastructure practices
- Implement telemetry and cloud usage ingestion frameworks
- Integrate REST APIs into data pipelines
- Optimize data systems performance reliability scalability cost efficiency
Perks/Benefits
- Career growth
- Conference opportunities
- Continuous learning
- Flexible schedule
- International collaboration
- Remote-first work environment
- Training and professional development
Skills/Tech-stack
AWS | AWS Glue | Amazon Athena | Amazon Aurora | Apache Airflow | CI/CD | Cloud Cost Optimization | Cloud tagging | Cost Optimization | DBT | Dagster | Data Ingestion | Data Modeling | Data Monitoring | Data Quality | Data Validation | Datadog | ELT | ETL | GCP | GitHub | Infrastructure as Code | Orchestration | Python | Query Optimization | REST API | SQL | Scala | Snowflake | Terraform | “as-code”
Education
N/A
Roles
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