We are looking for a Senior Data Engineer/Analyst to join our Engineering team. You will work closely with data scientists and play a key role in designing and building state-of-the-art data platforms supporting the company’s predictive models of training and inferencing tasks. You will be a technical expert with significant scope and impact in this role.
Work at Exadel - Who We Are
We don’t just follow trends—we help define them. For 25+ years, Exadel has transformed global enterprises. Now, we’re leading the charge in AI-driven solutions that scale with impact. And it’s our people who make it happen—driven, collaborative, and always learning.
About the Customer
The Customer makes health digital by empowering clients to deliver digital health products and solutions through premium services. The history of the customer started as a boutique IT company in 2008; in less than 3 years, it grew to become a leading IT company with 100+ employees, serving clients from around the globe across several verticals. Today, the Customer`s company is the digital health lab that aims to improve and save lives today through technology.
Requirements
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- Proven experience as a Snowflake Developer in a senior capacity
- In-depth understanding of Snowflake architecture and best practices
- Experience with ETL processes and tools
- Hands-on experience with AWS
Nice to Have
- Snowflake Certification
- AWS Certification
- Knowledge in (pharma) manufacturing domain
English level
Upper-Intermediate+
Responsibilities
- Collaborate with cross-functional teams to analyze requirements, develop technical specifications and implement solutions
- Analyze large and complex datasets to uncover insights, trends, and patterns that support strategic and operational decision-making
- Design and maintain dashboards and reports using BI tools (e.g., Power BI, Tableau, or similar) to communicate findings effectively to both technical and non-technical users
- Act as a bridge between business and technical teams — translating business questions into analytical tasks and ensuring data solutions align with business objectives
- Design and develop data models and data warehouses in Snowflake
- Develop and maintain ETL processes to move data from source systems to Snowflake
- Create and maintain views, stored procedures, and other database objects