Position: Data Engineer
Company: Intellectsoft
Category: Data Science
Experience required: 5y
English level: upper

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 working in a technical environment that makes use of languages, frameworks, and technologies such as Python, Golang, R, Scala, Tableau, Spark, Hadoop, Kafka, Splunk, Elasticsearch, Kubernetes, REST API development, SQL, NoSQL, MongoDB, SQL Server, MySQL, Git, GitLab-CI, Jenkins, Docker;
• 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.

**Skills / Competencies:**
• Expertise in Data Engineering/Science
• Knowledge of engineering fundamentals and architecture
• Strong Math skills
• Able to think holistically around engineering issues
• A thoughtful, adaptive, and positive mindset
• Empathetic, humble, and collaborative mindset
• Able to teach, coach, and mentor other engineers
• Good written and verbal communication skills in English, technical and otherwise

**Responsibilities:**
• 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.