Data Engineer
Tasks
- Architect AWS data lake
- Build and optimize data pipelines
- Collaborate with stakeholders to automate data and machine learning workflows
- Create reusable processes for deployment of Python libraries and containers
- Design and manage data infrastructure
- Design data pipelines and workflows
- Develop automated deployment pipelines
- Enforce data governance and security protocols
- Implement automated data and machine learning pipelines
- Stay current with data and machine learning best practices
Perks/Benefits
- 401k employer contribution
- Fitness reimbursements
- Health insurance
- Insurance discounts
- Matching gift opportunities
- Onsite gym
- Paid family leave
- Paid national holidays
- Paid time off
- Parental leave
- Pre-tax commuter benefits
- Professional development resources
- Tuition reimbursement
- Wellness program
Skills/Tech-stack
AWS | AWS Glue | AWS IAM | AWS KMS | AWS Lake | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon ECS | Amazon EventBridge | Amazon S3 | Amazon SageMaker | CI/CD | CloudFormation | DB2 | DBT | Data Governance | Data Lakes | Data Modeling | Data Quality | Data Warehousing | Docker | ELT | ETL | Fivetran | GitHub Actions | Informatica | Jenkins | Lake Formation | Machine Learning | Microsoft SQL | Microsoft SQL Server | Private Cloud | Python | SQL | SQL Server | Snowflake | Step Functions | Terraform | Virtual Private Cloud
Education
Roles
Regions
Countries
States
Cities
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