The position: 

Intersys is looking for a Senior Data Engineer to make architectural decision and contribute to the design and development of data services for the clients Data Service Platform.



  • Make architectural decisions to build efficient, adaptable, and scalable data pipelines in cloud to process unstructured Big Data
  • Work closely with product owners and other team members to deliver next generation connected car data services
  • Rapidly architect, design, prototype, and implement architectures to tackle the Big Data needs
  • Research, experiment, and utilize leading Big Data technologies such as Spark, Kafka, Kinesis on Microsoft Azure, AWS, etc.
  • Operate in a highly-interactive Agile development environment
  • Maintain and train junior team members on latest technologies and software engineer best practices


  • Bachelor’s degree in Computer Science, Computer Engineering, or related field
  • 7+ years of experience with multiple programming languages and technologies
  • 3+ years of experience in the Big Data space
  • Fluency in languages such as Python, Scala, or Java
  • Ability to pick up new languages and technologies quickly
  • Solid understanding of cloud and distributed system principles, including load balancing, networks, scaling, and in-memory vs disk
  • Experience with large-scale, Big Data methods such as MapReduce, Hadoop, Spark, Hive, or Storm
  • Ability to work efficiently under Unix/Linux environments
  • Experience with source code management systems such as Git

Job ID: 4115

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