AWS Data Engineer
Tasks
- Build and manage Data Lakes and Data Warehouses
- Collaborate with data scientists, analysts, and DevOps teams
- Design ETL ELT data pipelines using AWS services
- Develop and optimize batch and real-time data processing systems
- Ensure data quality integrity and governance
- Implement data integration across multiple sources and formats
- Monitor and troubleshoot data workflows
- Optimize costs and performance of AWS data infrastructure
- Translate business requirements into technical solutions
Perks/Benefits
- 401k retirement plan
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision insurance
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AWS CloudFormation | AWS Data | AWS Data Pipeline | AWS Glue | AWS Lambda | Amazon Kinesis | Amazon Redshift | Amazon S3 | Apache Spark | CI/CD | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Security | Data Warehousing | Data integration | Data pipeline | ELT | ETL | Git | Hadoop | Infrastructure as Code | Java | Python | SQL | Scala | Terraform | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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