Job Location: 100% remote in Romania
Recruitment process:
- HR Screening
- Tech interview (1,5 hours)
- PM discussion (20 min)
- Client interview (45 min)
Profile:
- Understanding the business requirements
- Writing code and implementing the proposed solutions
- Creating data pipelines, versioning and change management
- Manage the complexity inherent in versioned data pipelines
- Building and maintaining ETL processes
- Logging and instrumentation of pipelines and services
- Ensuring data quality
- Strong debugging skills to analyze and fix a defect in the data processing
- Should be a good team player and a great collaborator
Qualifications:
- Demonstrated expertise with a minimum of 3+ years of experience as data engineer or similar role
- Advanced SQL skills and experience with relational databases
- Strong Python skills with hands-on experience on Panda, NumPy and other data-related libraries
- Strong exposure to write ETL / pipeline code
- Experience in Data collection from multiple sources and integrating based on business needs
- Experience in working with Google Cloud Platform and Amazon Web Services
- GCP: Cloud Functions, Cloud Storage, Dataform, etc.
- AWS: ECS, Lambda, EC2, S3, etc.
- GitHub Actions for CI/CD, workflows
- Terraform
- Proficiency in the English language.
Additional experience:
- Exposure to AI / ML
- Exposure to Looker Studio, Tableau, PowerBI;
Experience in working with:
- Looker Enterprise
- Google Analytics
- Google Tag Manager
- Firebase
- Salesforce
- Hightouch
- Datadog
