Data Analytics Engineer

About the Role

Key Responsibilities

• Embrace and drive a culture of accountability for customer and business outcomes.
• Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
• Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals.
• Lead requirement analysis, component design, development, unit testing, integrations, and support.
• Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations.
• Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks.
• Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded.
• Work effectively with diverse teams through collaborative skills.
• Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs.
• Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.
• Adopt a mindset that favors action and evidence over extensive planning, utilizing a learning-forward approach.

Requirements

• Strong engineering craftsmanship with experience in multiple programming languages and modern frameworks.
• Proven ability to deliver high-quality, outcome-focused solutions.
• Experience in requirement analysis, component design, development, and testing.
• Ability to develop scalable, supportable code that meets quality KPIs.
• Hands-on, self-driven attitude with a willingness to learn new approaches and technologies.
• Collaborative skills to work effectively with diverse teams.
• Focus on customer-centric engineering and rapid experimentation.