About this role
Hortonworks is seeking an Associate Big Data Developer to join its professional services team in APAC. In this role you’ll have the opportunity to develop massively scalable solutions to solve complex data problems using Hadoop, Spark and related Big Data technology. This role is a client facing opportunity that combines consulting skills with deep technical design and development in the Big Data space.
This is a great opportunity for a junior software developer looking to gain experience in the Big Data stack, as you will be provided with mentoring, training, and the opportunity to work with large customers across Asia Pacific.
Responsibilities:
Work closely with Hortonworks’ Architects to design and build Big Data solutions on HadoopWork directly with customers to implement Big Data solutions at scale using the Hortonworks Data Platform and Hortonworks DataflowHelp design and implement Hadoop platform architectures and configurations for customersWork closely with Hortonworks’ teams at all levels to help ensure the success of project consulting engagements with customerWrite and produce technical documentation, knowledgebase articlesAttend speaking engagements when needed Keep current with the Hadoop Big Data ecosystem technologiesTravel up to 75% Aptitude for learning new skills and technology quicklyDemonstrable programming experience (in any language)Experience in Linux / Unix environmentsStrong analytical and problem solving abilitiesTheoretical knowledge of big data / analytics conceptsProven interest in Big Data development, Data Engineering, or Data ScienceStrong communication, consulting, and presentation skills Nice to have (but not required):
Bachelor of Software Engineering / IT / Computer Science or related discipline (Honors/Masters/PHD a plus)Hands on development experience with Apache technologies such as Hadoop, Spark, Hbase, Hive, Pig, Storm, Solr, Phoenix, Accumulo, Falcon, Sqoop, Flume, Kafka, OozieExperience with open-source softwareExperience setting up multi-node Hadoop clustersStrong SQL skillsJava, C++, Python, and/or R developmentExperience with NoSQL data technologyExperience in any cloud environment (AWS, Azure, Google Cloud, SoftLayer, OpenStack)Understanding of various enterprise security solutions (LDAP and/or Kerberos)Understanding of Networking conceptsUnderstanding of Site Reliability Engineering concepts and practicesExperience with distributed systems, machine learning or artificial intelligence algorithmsAbility to understand big data use-cases, and recommend standard design patterns commonly used in Hadoop-based deploymentsKnowledge of the data management eco-system including: Concepts of data warehousing, ETL, data integration, data engineering etc. Quick facts about Hortonworks : http://hortonworks.com/about-us/quick-facts/ Products: HDP, HDF, Metron & Cloudbreak, DataPlane: https://hortonworks.com/products/ Our Manifesto: https://hortonworks.com/manifesto/ Future of Data: https://www.youtube.com/watch?v=WFDvi7xW08E Blog: https://hortonworks.com/news-blogs/ Hortonworks Ecosystem: https://hortonworks.com/ecosystems/ Apache Software Foundation: http://www.apache.org/ Newsletter: https://hortonworks.com/newsletters/