Senior Data Analytics Engineer
RPS North AmericaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The position is hybrid.
Proficiency in one or more programming languages such as Go, C#, or JS is required.
Candidates need a strong understanding of infrastructure and software engineering principles focused on cloud-native development, experience with SDLC and agile methodologies emphasizing secure practices and CI/CD, plus proficiency in languages like Go, C#, or JS.
Mindera emphasizes crafting software with people they love and focuses on building an intuitive, efficient developer experience while collaborating closely in a team environment.
A strong candidate has expertise in cloud-native development with Azure, proficiency in languages like Go or C#, experience with CI/CD and GitOps, and a focus on improving developer experience through collaboration and secure practices.
Develops AI tools for sustainable agriculture
Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.