Big Data Optimization

The trend in Big Data is on the rise as data optimization becomes much more achievable. Companies could see initial success with data analytics, but scaling data operations proved to be time-consuming and difficult to maintain. As data sources become more complicated and AI applications expand, businesses need to foresee future years of innovation and evolution for big data. This is where experienced technical staff is needed to deliver capabilities for data operations and data engineering automating in a more reliable and repetitive fashion – whether in a production environment in the cloud, on premise or hybrid environments.

  • Big Data Engineer/Developer
  • Senior Big Data Platform Architect
  • Senior Hadoop Developer
  • Hadoop Admin – Platform Engineer
  • JAVA Hadoop developer
  • Big Data Hadoop Architect Lead
  • Data Engineer / Python / Spark
  • Azure IoT Consultant
  • Big Data Developer – Hive/Spark
  • Apache Spark Developer
  • Python Spark Developer/Python Developer
  • Senior Backend Engineer (Spark/Scala)
  • Big Data Solution Architect
  • Salesforce Marketing Cloud
  • Senior AWS Big Data Solutions Architect
  • Big Data Hadoop Platform Engineer