Description

Randstad Digital Switzerland is seeking a highly skilled and motivated Data Engineering Specialist to join our team and work on an exciting project with a prestigious international organization. This role involves enhancing and developing security metrics within a large-scale IP Analytics Platform, utilizing cutting-edge cloud technologies and agile methodologies. 
Responsibilities:

• 
  Collaborate with the Information Security team to define and implement data quality assurance processes.
   
• 
  Identify suitable data visualization tools and create detailed visualization and presentation layers (Tableau or Amazon QuickSight).
   
• 
  Identify and document data structures for additional data sources and ensure ongoing data drift monitoring.
   
• 
  Assist Information Security experts in defining and extracting relevant features for data analysis.
   
• 
  Collaborate with business areas to improve the performance of central collation of big datasets.
   
• 
  Develop data products, including pipelines, jobs, and transformations.
   
• 
  Create use case diagrams, data, and process flow diagrams, and user guides.
   
• 
  Design and implement Security Metrics presentation/visualization dashboards with drill-down capabilities.
   
• 
  Ensure solution evolution in response to changing data sources and emerging technologies.
   
  Requirements:
  • 
    A first-level university degree in information security, computer science, engineering, mathematics, business, or a related discipline.
     
  • 
    Expert knowledge and experience in developing and implementing ETL jobs for data warehouses using SQL and Python.
     
  • 
    Strong knowledge of software development languages and tools, including SQL, Python, and Spark.
     
  • 
    Good knowledge and experience with AWS or Azure Big Data tools (e.g., Glue, Athena, Redshift, Kinesis, Data bricks, Azure analytics, Data explorer) and cloud-based storage and functions (S3, Blob, Lambda, Azure Functions).
     
  • 
    Expert knowledge and experience with data engineering tools and methodologies (Data warehouse, data lake, star schema).
     
  • 
    Good knowledge and experience with AWS Cloud Formation or Terraform.
     
  • 
    Knowledge of CI/CD concepts, particularly AWS CodePipeline, CodeBuild, CodeDeploy.
     
  • 
    Knowledge of provisioning data APIs and information security concepts and terminology.
     
  • 
    Excellent written and verbal communication skills, with the ability to articulate complex technical ideas to non-technical stakeholders.
     
  • 
    Confident communicator and team player with strong organizational and interpersonal skills.
     
  • 
    Personal drive, ownership, and accountability to meet deadlines and achieve results.
     
  • 
    Proficient user of Git, with familiarity with Jira and Bitbucket.
    
     
    Desirable:
    • 
      Additional certifications such as Certified Amazon Web Services (AWS) Solutions Architect and AWS Certified Data Analytics Specialty.
       
    • 
      Experience in the implementation of or demonstrable familiarity with the Gartner ODM framework.
    • 
      Experience of working with Tableau and Amazon QuickSight would be an advantage.
       

      Ideally, you will be working from our client’s offices in Geneva, although a hybrid working arrangement (nearshore or Switzerland) is possible.