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
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