Senior Back End Developer - Data Analytics

Job Description

Hewlett Packard Enterprise (HPE) is seeking an outstanding Software Developer to play a key role in developing an industry-leading HPE storage analytics solution – HPE InfoSight. HPE InfoSight collects and analyzes more sensor data points from our customers’ infrastructure systems and applications than there are stars in our galaxy. Predictive Analytics are then used to correlate vast amounts of information to find the needle in the haystack, and solve our customers’ most complex infrastructure issues.

You will be joining an agile, empowered team, focused on building a brand new data processing platform that enables and powers the analytics that are at the core of HPE InfoSight. The HPE InfoSight Data Platform provides abstractions, components and infrastructure to create a state-of-the-art platform for running data processing and machine learning workloads. The team leverages the latest big data and microservice-based technologies to build out the data processing platform – Apache Spark, Delta Lake, Apache Pulsar, Kubernetes, Istio, knative, GraphQL, TimescaleDB, Postgres. The development stack is Scala (cats, http4s, Caliban, shapeless, lagom).

Responsibilities:

• Technical contributor, as a software developer, in a cross-functional development team, focused on building out a full featured data processing platform
• Leverage big-data technologies for data processing, including Apache Spark, Kubernetes, Apache Pulsar, AWS (Lambda, S3)
• Contribute to the data platform ecosystem, including implementation of microservices or serverless components using Scala, http4s
• Work with the Data Scientists to create and evolve the data platform to enable both exploratory analytics and Machine Learning
• Work with the DevOps engineers to design and build observability features (telemetry, tracing) and CI/CD
• Develop unit, integration, system or any tests that are needed to help the team deliver value quickly, with a high degree of quality

Education and Experience

• Bachelor/Master's degree in Computer Science/Engineering program, or equivalent
• 10+ years of relevant experience

Knowledge and Skills

• Strong software engineering/development skills. Practical experience with Apache Spark
• Strong distributed systems knowledge
• Data processing experience at scale
• Practical experience designing and implementing microservices
• Team player with a passion for learning, programming, automation, and data processing
• Excellent analytical and problem solving skills
• Excellent communications skills

Experience with any of the following is a plus:

• Scala (practical experience with functional programming would be a plus)
• AWS or other public cloud provider
• Akka (experience with Lagom and overall experience with CQRS/Event Sourcing would be a plus)

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