Data Engineer
Teradata
MUNICH, Bavaria DE
vor 5 Tg.

Key Areas of Responsibility

  • Develop comprehensive solutions for our client's business problems regarding data analytics
  • Participate in workshops with our clients to translate business requirements into technical specifications
  • Design and develop efficient, automated, robust and reusable code, scripts, and data processing pipelines that leverage structured and unstructured data (big data) from various sources including stream, near real-time and batch processing
  • Develop project deliverable documentation
  • Support our customers in their journey to become data driven businesses
  • All consultants are expected to build value in themselves. Teradata’s extensive library of both instructor-led and web-based training (Teradata University, LinkedIn Learning, Udemy) provides ample opportunity for the consultant to develop, build and maintain marketable skills.
  • All consultants are expected to build value in their practice through the contribution and reuse of consulting assets that may improve or accelerate the project delivery.
  • Skills

  • Bachelor’s Degree in Computer Science / Computer Engineering or equivalent experience
  • Verbal and written communication skills in German and English (C1 and above mandatory)
  • Proven hands-on experience in several of the following areas : database architecture, ETL, business intelligence, big data, machine learning, advanced analytics
  • Experience in collecting user requirements and the ability to understand complex business needs to translate them into analytical application solutions
  • Experience in implementing cloud solutions on AWS. Azure or Google Cloud
  • Profound knowledge of SQL and Python
  • Tavel up to 80% might be required
  • This will be a plus :

  • Teradata database proven knowledge (previous experience, certificates)
  • Experience in writing complex SQL statements and optimizing Teradata SQL, reading and understanding Teradata query-plans
  • Ability to tune the database model performance for analytical queries
  • Practical knowledge of CASE tools (e.g., Erwin Modeler, Power Designer)
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