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GS Global Services
20000001Q7 Requisition #
Thanks for your interest in the Data Engineer position. Unfortunately this position has been closed but you can search our 2,508 open jobs by clicking here.
  • Bachelor’s Degree in Computer Science, Software Development, or a business-related field.
  • 4 to 10 years experience in a comparable role.
  • Fully conversant with analytics and new technologies, strong knowledge of industry trends knowledge including products and services on Nokia’s core business.
  • Strong experience in building fast, robust, effective and efficient analytics data pipelines with modern cloud development technologies covering data collection, transformation, storage and exposure :
    • Advanced development skills and experience in Scala language (or having a particularly deep expertise in one of the field below) is a must.
    • Big data distributed environment development and optimization experience with Spark.
    • NoSQL technology experience with Apache Cassandra or Parquet Files hosted on S3, designing relevant data models dealing with high data velocity and/or volume while ensuring integrity.
    • Streamlined data collection and transformation flow experience with Kafka considered a plus.
  • Experience consuming enterprise web-services (REST, JSON/XML, MySQL/PostgreSQL) and also expose own services to help design the next generation of back-end APIs and functionality.
  • Experience in containerization/ dockerization of developed solutions.
  • Experience with Apache NiFi considered a plus.
  • Understanding of Java Development tools (IntelliJ IDEA), Zeppelin notebook considered a plus.
  • Modern software development methodologies such as Agile, Scrum, etc. including Test Driven Design and other testing methodologies. 
  • Use Git to manage source code and Artifactory to publish.
  • Sound methodical skills with attention to detail and process requirements.
  • Capability to multi-task and prioritize to ensure timely deliveries.
  • Comfortable with working with multiple stakeholders in a multi-cultural environment of a global matrix organization with sensitivity and partnering.
  • High energy, initiative, enthusiasm and persistence. English mandatory.

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