Sr Data Analytics Engineer

Sr Data Analytics Engineer

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know diverse backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

The Sr Data Analytics Engineer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.

Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.

Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.

The Sr Data Analytics Engineer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.

Contributions include applying developed subject matter expertise to solve common and sometimes complex technical problems and recommending alternatives where necessary.

Might act as project lead and provide assistance to lower level professionals.

Exercises independent judgment and consults with others to determine best method for accomplishing work and achieving objectives.

How you´ll make your mark:


* Bachelor's or Master's degree in Computer Science, Engineering or a related field


* 4+ years of experience in software development


* 4+ years of experience with data analytics


* Advanced English level


* Mathematical and statistical knowledge


* Previous work experience in building SaaS platforms, highly scalable and highly available production systems


* Experience with REST/JSON APIs


* Experience with Git and CI tools


* Experience writing and maintaining unit and functional tests


* Strong teamwork and communication skills


* Scala and Spark experience is a strong plus


* Mongo DB, BigTable, or Redis experience is a plus

 

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset...