Position: Senior Data Engineer
Company: DevRain
Category: Data Engineer
Experience required: 5y
English level: upper
Published: 2022-12-01T00:00:00+02:00

Working on AI-based revenue management platform with latest technologies: ASP.NET, Azure. 
Looking for person to work on products that we build with our partners and customers and grow as professional.

**As must-have:
**
· Programming experience (Python preferred).
· Fluency with logical and physical Database models and complex SQL views, fa-miliar with modelling tools.
· Data focused applied mathematics (statistical analysis, machine learning).
· Big Data stack; Spark / MLlib.
· Proficient in data staging using ADF (Azure Data Factory) or Synapse.
· Profound SQL skills.
· Cloud: Azure – Storage; Compute; Notebooks; PurView.
· CI/CD principles & tools (e.g. Azure Devops).
· Platforms: Linux, Windows.
· Version Control Systems (e.g. Git).
· Hands on experience in delivering scaled solutions.
· Working English fluency.
· Master’s Degree in Economics, Computer Science, Math, Applied Statistics or a related field with 3 to 5 years relevant experience.

As nice-to-have:

· Domain understanding (Commodity trading, CPG, Retail or Life sciences) and ability to acquire new domain knowledge.
· Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc.

**Responsibilities**

· Analyse database designs and enhance the models to support business use cases.
· Design and build data pipelines according to requirements and company best practices.
· Present the findings in a clear and informative way.
· Convert large volumes of structured and unstructured customer data using ad-vanced analytical solutions.
· Turn analysed data into actionable insights and business value.
· Communicate effectively with different departments and roles (product manag-ers, engineers) to discuss complex data-driven findings and technical matters
· Educate and train others on Data engineering related matters.
· Estimate, plan and coordinate the delivery of large projects following the Scrum framework
· Create Data Science solution architecture.