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Customer Solution Centers are made up of teams that provide remote (offsite) service; customer access, pre-sales, post-sales, and service delivery. Technical teams focus is to solve various business systems and applications problems for customers, onsite engineering personnel and Authorized Service Providers on standard, specialized or complex systems.
Platform (BigData-API Sr Engineer)

  • Must have minimum 10 years of overall experience with strong expertise in multiple languages like Go,
    NodeJS, and Python
  • Must have 5yrs of experience with Spark, AWS and Big Data (Hadoop Cloudera/MapR/Hortonworks).
  • Experience on building and implementation of Data Lake on AWS Cloud.
  • Hands on experience in AWS/Azure/GCP Cloud and related tools, storage and architectural aspects are required.
  • Experience with integration of different data sources with Data Lake is required.
  • Experience in Big Data/Analytics/Data science tools
  • Must have 5yrs of experience in working with Big Data eco-system including tools such as YARN, Impala, Hive, Flume, HBase, Sqoop, Apache Spark, Apache Storm, Crunch, Oozie, SQOOP, Pig, Scala, Kerberos/Active Directory/LDAP, KSQL, Redis, Cassandra
  • Should have at least 5yrs experience in solving Streaming use cases using Spark, Spark-SQL, KSQL, Kafka, NiFi
  • Extensive experience designing and developing APIs like Flask
  • Extensive experience in programming languages like Python and Java
  • Have experience designing and building large scalable web services.
  • Proficient in at-least one server-side language such as Java or Node.js.
  • Have thorough knowledge of cloud infrastructure, monitoring and orchestration tools.
  • Have an in-depth understanding of database technologies (SQL and NoSQL) as well as API cache design and caching technologies.
  • Have experience building RESTful APIs and have good knowledge of RESTful design patterns.
  • Thorough understanding and working experience in MapR/Cloudera/Horton Hadoop distributions
  • Solid functional understanding of the Big Data Technologies, Streaming and NoSQL databases
  • Thorough understanding, strong technical/architecture insight and working experience/exposure in Docker, Kubernetes
  • Containerization experience with Big Data stack using Open Shift/Azure is added advantage
  • Exposure to Cloud computing and Object Storage services/platforms
  • Experience with Big Data deployment architecture, configuration management, monitoring, debugging and security
  • Experience in performing Cluster Sizing exercise based on capacity requirements
  • Ability to build strong partnership with internal teams, vendors on resolving product gaps/issues and escalate to the management on timely manner
  • Should have good knowledge to CI/CD tools, application hosting, containerization concepts

Join us and make your mark!
We offer:

  • 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 it

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HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status





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