Senior Data Engineer

• Work closely with colleagues in engineering, data science, product management, and advisors to engineer smart solutions
• Offer adequate guidance on the system architecture, code structure and quality, technical debt, and testing
• Showcase strong skills and aptitude to translate requirements into a scalable solution
• Consistently drive efficacy to meet the needs of the company and clients, while upholding deadlines
• Create tools and platforms to allow internal and external teams to perform visualizations and extract insights from big-data platforms
• Perform automation on the platform

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• 4+ years of experience in software development
• At least 2+ years experience in a data-engineering role for commercial products
• Solid expertise with big-data or machine learning technologies, preferably Spark
• Exceptional Python (Pandas) skills and some experience with Scala is helpful
• Strong SQL development skills and a familiarity with NoSQL
• Comfortable working with development/debugging environment in Linux/Unix
• Great zeal to work in a fast-paced engineering team and company
• Prior expertise in deploying services and data pipelines in AWS
• Track record of working with containers (Docker, Kubernetes)
• Ability to implementing operational best practices such as monitoring, alerting, and metadata management
• Good understanding of machine learning and statistics
• Hands-on expertise in a technical or team leadership role, similarly a desire to grow into one with a pattern of achievement and growth