Senior Big Data Engineer Analytics Platform (Digital Edition ZRH) (BB-3A462)

Gefunden in: Neuvoo Bulk CH


Your team:

We believe our colleagues comes first, thinking different is an asset and innovation comes by putting customer experience first in our design thinking.

We strive to enable financial institutions to focus on customer experience and creating differentiating digital services rather than managing technology complexity by providing:

  • Go-live ready digital solutions tailor-made for the different personas using them
  • A modularized digital offering with lots of options and choices helping the client to quickly bring live new services and efficiently differentiate investments
  • A SaaS delivery model delegating the majority of the technology complexity to us
  • Self-service capabilities for our ecosystem of FinTechs and bank IT departments looking to easily configure and extend our standard functional offering building blocks

  • Your mission:

  • Implement data analytics – Big data exploration, extraction, processing and ingestion to different SQL and NonSQL storage systems
  • Data investigation and creation of pipelines and models
  • Deliver data to end users and applications
  • What you need:

  • University degree in Computer Science or related discipline
  • Proven experience in implementing Big Data / Data Analytics productive environments, using technologies such as distributed SQL engines / file systems
  • Proficiency in ETL data pipeline, using market standard tools such as MapReduce, Spark, Python
  • Expertise in data modelling and data management tools
  • Practical experience implementing container platforms, preferably OpenShift / Kubernetes
  • Familiarity in streaming technology like Kafka

  • You will get extra points for the following:

  • Hands-on experience with Apache toolset and ecosystem (e.g. Haddop) is an advantage
  • Experience with Distributed SQL engines like Presto
  • Familiarity with full text search or processing software such as Elastic Search / Lucene / SOLR is a plus
  • Experience with workflow frameworks (e.g. Argo, Airflow) 
  • Understanding of data visualization using software like Tableau, Qlik, PowerBI, Yellowfin
  • Experience working in financial industry in specific use cases (portfolio management and analysis, CRM/CLM, financial and performance reporting, legal and compliance)
  • Experience in Data Warehousing and Business Intelligence
  • calendar_todayvor 2 Tagen

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