Data Engineer

 

Requirements

We specifically want someone who:

• Has strong proficiency in Python and other programming skills, writing clean, easy to maintain, and scalable code
• Has hands-on experience and is up to date with the recent approaches in data and model versioning, data warehousing, and processing, e.g. BigQuery, DBT, Spark
• Has experience with common Data Engineering tools like Airflow and Airbyte
• Has solid experience with NoSQL, SQL databases, e.g. MongoDB, PostgreSQL, Redis
• Has experience with containerization and deployments, including Docker, Kubernetes, Helm, Terraform, Cloud Providers (GCP or others)
• Is able to work with a variety of data types, such as JSON, CSV, Parquet and more

Apply because you want to...

• Have the opportunity to work in a global market and compete with best in class companies who are on the front line of Machine Learning and Engineering developments
• Work in a modern Product-led company where your contributions are valued and have real-world impact
• Get exposure to working with stakeholders on a global level across different industries
• Work in a tech, fast-paced and challenging environment that provides opportunities for professional and personal growth
• Work in a diverse and multicultural environment

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