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Data Engineer - KPMG

Locatie: Amstelveen

De functie
A team of six data scientists and software engineers are fully dedicated to develop and bring to market (global) an innovative product called Location Analytics Solutions (LAS). In a nutshell, LAS is an Internet-of-Things solution that uses data from varying sensors (including self-designed hardware) to analyze behavior of people in the real world. The product has gained some initial traction on a global scale and as a result the team is looking for an engineer.
 
Role
As a junior software & data engineer you will be responsible for developing Storm and Spark-based frameworks, various internal tools, data wrangling, storing data efficiently, and various operational activities. You will work under direct supervision of the lead data engineer.
 
The Location Analytics team basically is a startup within a big company, meaning you will have lots of freedom to help shape the solution and determine its (technical) direction. KPMG offers very competitive educational possibilities and is a great place to start your career.
 
The ideal candidate is enthusiastic about software engineering and data engineering, takes pride in writing high quality code, absorbs knowledge like a sponge, has an open mindset and pro-actively seeks for ways to improve the current state of affairs in his or her environment.
 
Responsibilities

  • Develop Storm and Spark-based frameworks and tools to simplify data analytics at scale.
  • Data wrangling using Storm, Spark and Hive and storage in Hive and MongoDB.
  • Managing a fleet of Linux-based Internet-of-Things devices (sensors) and a big data cluster.
  • Implement professional operations capabilities (e.g. CI/CD, logging, monitoring, alerting, code quality checks, provisioning).

Het profiel
Education & Experience

  • MSc in Computer Science, Software Engineering or equivalent
  • 0-2 years of work experience

Essential skills

  • Linux guru
  • Proficient with Python and Java (or at least with one of these, and willing to learn the other)
  • SQL
  • Writing programmed tests such as unit tests, integration tests etc.
  • Object-oriented programming (i.e. you are intimately familiar with the concepts of abstraction, encapsulation, inheritance, composition/aggregation, abstract classes, interfaces, polymorphism, design patterns, etc.)
  • Familiar with the Hadoop Ecosystem, e.g. MapReduce, HDFS, YARN, Hive, Storm, Spark. Has used (at least some of) these tools in the past.
  • Git

Preferred skills

  • Bash scripting
  • Building RESTful services
  • Good understanding of computer networking and security

Ons aanbod
KPMG is an international network of companies with personal attention for its employees. We have a strong market position that we further want to strengthen with a clear vision, strong values and enthusiastic coworkers.

KPMG is open to and interested in all kinds of talents. With your diverse skills, as woman or man, young or old, and what every your cultural background, sexual orientation or physical disability, together we pick up the challenges with, and for, the client.

Our people work intensively together for renowned clients on a daily basis in an enjoyable and stimulating environment. Personal development is central at KPMG. With directed training, education and coaching we help our employees to excel and get the best out of themselves.
 
At KPMG you will receive excellent primary and secondary benefits tailored to the latest market developments.

Meer informatie en solliciteren
For further information about the application procedure you can contact the recruitment advisor, Margot van der Bijl (vanderbijl.Margot@kpmg.nl).

Screening is part of the application procedure. An individual assessment can be part of the application procedure.

Location:

Amstelveen

Information and application:

Apply:

Please send your application for Data Engineer at KPMG in Amstelveen including your CV via our website.

Job posted

07 oktober 2018
Apply Now

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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Nienke Smit
Nienke Smit
E-mail
06-41454957

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Pieter Lammers
Pieter Lammers
E-mail
06-41454956

Linkedin   Twitter