Position: Data Engineer
Company: SD Solutions
Experience required: 3y
Category: Data Science
English level: upper
Published: 2023-04-01T00:00:00+03:00

Hello, all!

For our new client **Spatially Health**, SD Solutions is looking for a  **Data Engineer** who wants to join the health industry.

** What are we doing?**

**Spatially Health** is a startup that uses complex and advanced spatial and socio-economic analytics, often referred to as Social Determinants of Health (SDoH). SDoH are factors that contribute to a person’s current state of health. These factors include genetics and biology, individual behavior, medical care, social circumstances, and physical environment. The platform provides insights and recommendations that enhance the equitable allocation of resources, improve patient engagement, lower cost outlays and ensure compliance with US government equity goals.

** What hard skills do we need?**

- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Proven experience as a **Data Engineer** with a strong background in data engineering and **data analysis - 4 years**
- Proficiency in using **Power BI** for data visualization and reporting, including data modeling, data relationships, calculated fields, and data hierarchies.
- Strong programming skills in **Python** for data manipulation, data transformation, and data integration tasks.
- Experience with data integration from various sources such as databases, data warehouses, APIs, flat files, etc.
- Solid understanding of data modeling concepts and best practices, including data normalization, denormalization, and performance optimization.
- Knowledge of data security concepts and best practices, including data encryption, RBAC, and data masking.
- Familiarity with data governance practices, data standards, and data cataloging.

** Soft skills:**
- Excellent analytical, problem-solving, and troubleshooting skills with a keen attention to detail.
- Strong communication and collaboration skills to work effectively with data analysts, business users, and other stakeholders.
- Ability to work in a fast-paced, dynamic environment and adapt to changing requirements and priorities.