Data Engineer

Skills :     Data Engineer

Job Description:

Job Description:

Who We Are:

Hewlett Packard Enterprise is a 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 of 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. Join us to redefine what’s next for you.

What you’ll do:

As a Data Engineer, we expect you to solve real-life complex problems and build an analytics platform that supports a 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/MCA

• 10 Years of experience as a Data/Backend Engineer.
• Strong object-oriented or functional programming skills in Java/Python/Scala (experience with any of these)
• Should have a good command of authoring SQL.
• Experience working in a technical environment with tools like Spark, Flink, Storm, Kafka, Elastic Search, etc.
• Have knowledge of AWS cloud services: EC2, S3, EMR, RDS, Redshift, Lambda, and 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 in 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!