Big Data Engineer #119412

  • Competitive
  • Zurich, Switzerland
  • Permanent, Full time
  • Credit Suisse AG
  • 14 Dec 18

Big Data Engineer #119412

We Offer

  • A key position as Big Data Engineer within the Analytics IT team of the Swiss Universal Bank, where you are designing and building an analytics platform using state of the art Big Data technologies and provide services to enable Credit Suisse Data Scientists to build advanced analytics models
  • You are taking an active part of our transformation into a more data and analytical insights driven bank
  • Within the highly motivated team, you collaborate closely with business teams to understand data and functional requirements
  • You design and build data pipelines to ingest, integrate, standardize, clean and publish data
  • You are responsible for defining and crafting integration patterns with downstream applications
  • You provide input into overall IT architecture of the solution, including technical environment configuration, data modelling, data integration, data presentation, information security and other IT architecture related topics
  • You support Data Scientist in their day-to-day work on a variety of topics, including tools and data analysis methods
  • You operationalize analytical models developed by the Data Scientists to embed them into the bank's business processes

You Offer
  • A university degree or equivalent education in IT or another technical specialization, ideally with focus on Data Management
  • You have proven work experience of at least two years as a Data Engineer using Big Data technologies
  • Experience with Hadoop based analytical solutions, ideally on Cloudera distribution, as well as practical skills in creating data processing pipelines using Spark, Scala, Python or similar tools
  • Good knowledge of SQL, Hive and Impala databases
  • Ideally experience with Jupyter Notebook, Hue, other end user tools
  • If you already had experience with Tableau, Splunk or an agile work environment you have an advantage
  • You are able to work in a dynamic environment, be comfortable with changing priorities and tight deadlines, manage you own workload with minimum supervision
  • You build strong collaborative relationships with colleagues in IT and business groups
  • Excellent verbal and written communication skills in English, German skills are of advantage

Ms. D. Kochattu would be delighted to receive your application.
Please apply via our Career Portal.