Tellius enables organizations to get faster insights from their data using AI-powered automation. Any user can ask any question across billions of records via a Google-like interface, understand “why” metrics change via automated insights that surface hidden key drivers and trends, and get predictive recommendations — in a self-service manner. Unlike traditional BI tools, Tellius excels at ad hoc and exploratory data analysis, root-cause/trend insights and anomaly detection, and business-friendly advanced analytics.
THE ROLE
Are you a problem solver interested in engineering development, big data, or quantitative research? If so this is the job for you!
Responsibilities:
- Contribute to building high-quality, scalable, and extensible platforms that enable the collection, storage, and analysis of massive data sets from numerous channels.
- Design and develop software applications in Scala, Akka, and Spark.
- Understand business requirements and convert them into technical solutions.
- An interest and preferably working experience in agile development methodologies.
- A team player, eager to invest in personal and team growth.
- Provide mentorship for Junior and Intermediate Engineers on your team to help them grow in their technical responsibilities, remove blockers to their work and perform code reviews.
- Collaborate with a multidisciplinary team of Project managers, Frontend, and QA team members.
- Advocate for improvements to product quality, security, and performance.
QUALIFICATIONS
- Minimum 4 years of coding experience in Java/Scala.
- Experience with all phases of the software development life cycle, best practices, and Agile Software Development.
- Solid OOP and software design knowledge – you should know how to create software that’s extensible, reusable, and meets desired architectural objectives.
- Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems.
- Bachelor’s degree or more in Computer Science.
- Experience owning a project from concept to production, including proposal, discussion, and execution.
- Proficiency in communication is sufficient for success in a largely asynchronous work environment.
- Experience with Machine Learning algorithms or Data Analytics is a plus.
- Experience with Docker and Kubernetes is a plus.
