Big Data Engineer

Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services range from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organisational growth by attracting, assessing and placing specialised professional talent.

On behalf of our client, a leading bank in Zürich, we are looking for a Big Data Engineer with proven experience and deep knowledge in data modelling and creating data structures on Hadoop. Are you a passionate Big Data Engineer who is looking for a new and exciting challenge? If yes, then please have a look at the details below:

Main responsibilities:

• Collaborate closely with data scientists in the business teams to understand data and functional requirements
• Design and build data pipelines to ingest, integrate, standardise, clean and publish data
• Integrate analytical models developed by the data scientists into end-to-end data pipelines

Essentials Skills and Qualifications:

• Over 5 years of work experience as a Data/Software Engineer using Big Data technologies
• In-deep understanding of data modelling and creating data structures on Hadoop
• Extensive experience with building data pipelines on Hadoop, ideally Cloudera distribution, using Spark, Scala, Python and similar languages
• Very good knowledge of SQL, Impala and Hive databases
• Good software lifecycle experience (build, deployment, testing, release and maintenance)
• Experience with Jupyter Notebook, Hue and/or other end user tools are an advantage
• Fluent in English

Interested in this opportunity? Kindly send us your CV today through the link in the advert. However, should you have any questions please contact Thu Barany on +41 44 229 99 28.

Even though this position may not be the perfect fit for you, please reach out to us, as we have hundreds of open positions at Experis IT across Switzerland.

Check out all of Experis' job openings at www.experis.ch or visit my personal page and connect to me on LinkedIn.