Position: Data Engineer with Python, Palantir, Pyspark (EU, Germany)
Company: Simplify
Experience required: 5y
English level: upper

- Statistical analyses and calculations
Processing of large data sets
Build feature-rich composite applications
Define a robust foundation for AI-powered end-user workflows with
granular security and governance release and integrate your models directly into core applications, without adapters or glue code
Validation of the requirements and deliverables that the product(s) or service(s)describe that the project/programme will produce
Support in the definition of processes and policies, provision of business rules and procedures and communication of the contexts in which the rules, processes and policies are applied


Skills:
- At least 5 years of proven experience in the development of data engineers and data-driven solutions, as well as in quality assurance;
- Experience with ETL/BI testing (data, regression, automation, errors)
- Fluency in Python, SQL, and familiarity with PySpark
- Understanding ELT/ETL data pipelines and data warehouse testing
- Hands-on experience with public cloud workloads
- Knowledge of data warehouses, databases, and/or data lakes
- Hands-on experience with Palantir tools (Contour Analysis/Code Workbook/Code Repository)
- Understanding ontology testing with type scripts 
- Hands-on experience with the Pytest automation framework 
- Cloud certifications and/or hands-on experience in Azure are a plus.


Must have skills
- Palantir
- PySpark

Nice to have skills
- Pytest automation framework, cloud certification in Azure


Important information:
The resource should be willing to travel about twice to the client.