Data Engineer with AWS (All genders)
Tasks
- Build cloud-native data pipelines in AWS
- Collaborate with data scientists and analysts on data sources
- Design, implement, and manage scalable data pipelines
- Develop and maintain documentation for data engineering processes
- Develop data integration ETL and ELT solutions
- Evaluate and implement data engineering tools and technologies
- Gather and process structured semi structured and unstructured data
Perks/Benefits
- Discounts
- Flexible hours
- Free language courses
- Health offers
- Hybrid work
- Job bike
- Parental support
- Pension plan
- Public transport tickets
- Sabbaticals
- Supplementary insurances
- Training programs
- Workation
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Amazon DynamoDB | Amazon Redshift | Amazon S3 | Amazon VPC | CI/CD | Data Architecture | Data Modeling | Data integration | ELT | ETL | GitHub Actions | IAM | Infrastructure as Code | PySpark | Python | SQL | Spark SQL | Step Functions | Terraform | “as-code”
Education
N/A
Roles
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