Data Engineer
Tasks
- Build batch and streaming pipelines
- Collaborate with data scientists product and engineering
- Design data architectures for analytics and machine learning
- Document systems pipelines and architecture
- Feed Data Warehouse for reporting and analytics
- Identify technical risks and propose improvements
- Implement ETL/ELT workflows
- Maintain production data pipelines
- Maintain runbooks and operational guides
- Own core data systems end to end
- Perform code reviews and mentor engineers
- Translate business requirements into data solutions
- Troubleshoot pipeline reliability and performance
Perks/Benefits
- Company lunch
- Flexible working hours
- Health insurance
- Home office
- In-office gym
- Recreation room
- Team building events
Skills/Tech-stack
AWS | AWS CDK | AWS EC2 | AWS Glue | AWS Lambda | AWS Step Functions | Amazon Redshift | Amazon S3 | Apache Flink | Apache Spark | CI/CD | Data Governance | Data Modeling | Data Quality | Distributed Systems | ELT | ETL | Infrastructure as Code | Metadata Management | Python | SQL | Step Functions | Terraform | “as-code”
Education
N/A
Roles
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