Job Description
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.
Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces.
What You’ll Do
As a Data Engineer, we expect you to solve real-life complex problems and build analytics platform that supports broad range of analytical/machine learning requirements. Create prototypes and proof-of-concepts for iterative development. You are keen to learn new technologies and apply the knowledge in building scalable/robust production systems.
What You Need To Bring
- B.E/B.Tech/M.E/M.Tech/MC
- 10+Years of experience as Data/Backend Engineer.
- Strong object oriented or functional programming skills in: Java/Python/Scala (experience with anyone of these)
- Should have good command on authoring SQL.
- Experience working in a technical environment with tools like Spark, Flink, Storm, Kafka, Elastic Search etc.
- Have knowledge on AWS cloud services: EC2, S3, EMR, RDS, Redshift, Lambda, Step functions. (Good to have)
- Exposure to stream-processing systems like Spark-Streaming, Flink, Kafka Streams etc.
- Experience with relational SQL and/or NoSQL databases: MySql, Postgres, MongoDB and Cassandra.
- Experience with data pipeline orchestrating tools: Airflow, Luigi etc. (Good to have)
- You are well versed with modern software development practices (Agile, TDD, CI/CD)
What We Can Offer You
A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
An amazing life inside the element!
Want to know more about how you can make your mark with us?
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HPE is an Equal Employment Opportunity/Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
Job
Engineering
Job Level
Expert
Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.