Datawallet | Data Engineers | Berlin, Germany | Full-time | Onsite
We are looking for a full-time data engineer. You will be at the core of making people’s data work for them. You will design and maintain the ETL data pipeline—from pulling and parsing data from various APIs and downloaded data stores to populating normalized RDBs and calculating cached views (usually in a NoSQL form) to power our various data products and services.
While you are not constrained in your tools, our current stack involves Python, Node.js, PostgreSQL, Airflow and various AWS services (all our infrastructure is hosted on AWS). You will be a core part of a highly skilled and motivated team located between Berlin and New York City that is changing one of the most unethical sectors in our modern economy.
[Minimum Qualifications]
- At least 4 years of software engineering experience (Python or Javascript), with at least 2 years experience in a data-focused role
- Expertise in building out data pipelines, efficient ETL design, implementation, and maintenance
- Mastery of databases (both relational and non-relational) and ability to generate normative schemas from datasets
- Experience building and maintaining a data warehouse in production environments
[Desirable Qualifications]
- Experience with Apache Airflow, AWS tools, git, Linux
- Experience with systems for transforming large datasets such as Spark or Hadoop
- Familiarity with Python-based data science tools (e.g., pandas) is also highly desirable.
[Compensation]
- Highly competitive wages
- Top-of-the-line equipment: Laptop of choice, custom monitor setup, optional standing desk, etc.
- Opportunities to travel to both the Berlin and New York City HQ
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To apply send an email to REDACTED_EMAIL
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