M13 - Data Engineer
Tasks
- Build and maintain data pipelines
- Configure AWS Lambda for data processing automation
- Configure and maintain AWS S3 data storage
- Develop CI/CD pipelines for data workflows
- Document data pipeline architectures and technical specifications
- Implement ETL and ELT processes
- Implement automated testing for data pipelines and data quality
- Implement data partitioning indexing and compression
- Maintain runbooks and operational procedures
- Manage and optimize AWS Redshift operations
- Monitor and troubleshoot data pipeline failures
- Optimize data workflows for performance and scalability
- Provide technical support for data related issues
- Set up monitoring and alerting for pipeline health
- Track engineering tasks in Jira
- Use version control and deployment strategies for data assets
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CloudFormation | AWS Glue | AWS Lambda | AWS Redshift | Amazon CloudWatch | Amazon S3 | Automated testing | CI/CD | Confluence | Data Compression | Data Modeling | Data Partitioning | Data Quality | Data Warehouse | Data indexing | ELT | ETL | GitLab | Infrastructure as Code | Jira | Python | Query Optimization | SQL | Shell Scripting | Terraform | “as-code”
Education
N/A
Roles
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