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

**Description**

Intellectsoft is a boutique IT solution provider headquartered in Palo Alto, CA. Our mission is to help global organizations overcome technology challenges of Digital Transformation. Established in 2007, the company operates multiple offices and engineering centers in the US, the UK, the Nordic region and Eastern Europe.

Our main focus is on the new and emerging technologies, such as Cognitive Computing, Decentralized Applications, Internet-of-Things and Mixed Reality. Our service portfolio includes strategic IT consulting, CX design, development and full lifecycle management of custom products and applications, and system integration.

The company’s strategy is heavily geared towards development of its own platforms, frameworks and reusable components that are utilized for building custom solutions. Among our clients are globally recognized brand names, such as Universal Pictures, Jaguar Motors, Qualcomm, Ernst & Young, Clinique, Bombardier, London Stock Exchange, Harley-Davidson and many others.

For more information please visit our website www.intellectsoft.net.

As a Data Scientist, you’ll be responsible for designing and implementing data strategies and data analysis
platforms that enable Business and Technology Teams to generate, transport, and consume data and
make data-driven decisions. In addition, you will use your analytical, math, and statistics skills to interpret
data and drive machine learning and data research.

**Requirements**

•  Minimum 5 years of hands-on Data Science/Engineering experience in the following areas: designing,
managing, and design large ETL, data mining, and data transport systems; big data systems and analytics
platforms; software development; distributed configuration management; continuous build, integration,
and deployment; containerization; high availability designs; public cloud systems;
• Experience with MongoDB, Microsoft SQL Server, Kafka, Python;
• Experience working in a product-oriented, team-based environment that uses modern digital delivery
approaches such as user experience design, lean, agile, DevOps, and cloud computing;
• Experience serving as a coach and mentor to other engineers.

Responsibilities:
• Identify valuable data sources and automate collection processes;
• Data Resilience and Structuring;
• Present information using data visualization techniques;
• Analytics Data Consolidation and Automation;
• Test Data Sanitization and Generation, Data Versioning, Test-Data-as-a-Service;
• Implement Data Lifecycle in context of Development and Business Lifecycle;
• Construct Machine Learning Platform for Security Automation and Analytics;
• Collaborate with engineering and product development teams.

**Benefits**
- Good opportunities to work with remarkable teams from all over the world
- Lighthearted, inspiring and open company culture
- Opportunities to travel
- Health Insurance coverage
- English language courses
- Fresh fruit and other snacks onsite
- Fun corporate events :)