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As a Data Engineer, you will develop and maintain our Data platform and improve existing architecture for incoming projects. Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy. You’re pro-active in keeping yourself up to date and are always searching for new ways to discover new technologies. You also enjoy laying the architectural foundations for the things you’re working on. You combine both thinking of the future and a hands-on, right now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.
- Design and deliver scalable big data systems supporting both streaming and batch modes.
- Implement and maintain the data-lake ecosystem to unify all diverse data sources.
- Build reliable data pipelines and ETLs to deliver data from diverse data sources.
- Work closely with stakeholders, including engineering, product, and analytics teams, to fulfill their requirements.
- Explore and assess novel technologies to address issues in the big data stack.
Requirements:
- BS/MS or more in computer engineering/science or related experience
- 2+ years of industry experience in software development using Python, Java/Scala and SQL
- Understanding of distributed systems related to data processing and storage
- Knowledge of Cloud Technologies like GCP/S3, Glue, BigQuery, Athena
- Experience using data ETLs including Airflow or Nifi
- Familiar to Docker deployment, Kubernetes and CI/CD automation based on Gitflow
What We Offer:
- Competitive salary and benefits package.
- Salaries paid in USD.
- Work in a fast-paced, multinational startup environment with highly motivated colleagues.
- Flexible work culture.
- Private health insurance.
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