Big Data engineer develop, maintain, test and evaluate big data solutions within organisations. Most of the time he/she is also involved in the design of big data solutions, because of the experience they have with Hadoop based technologies such as MapReduce, Hive MongoDB or Cassandra. A Big Data engineer builds large-scale data processing systems, is an expert in data warehousing solutions and should be able to work with the latest (NoSQL) database technologies.
A Big Data engineer should have sufficient experience in software engineering before the move can be made to the field of big data. Experience with UNIX, object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present.
Big Data engineer should also have the capability to architect highly scalable distributed systems, using different open source tools. He or she should understand how algorithms work and have experience building high-performance algorithms.
The Capgemini Big Data engineer should embrace the challenge of dealing with petabyte or even exabytes of data on a daily basis. He/She understands how to apply technologies to solve big data problems and to develop innovative big data solutions. In order to be able to do this, the Big Data engineer should have extensive knowledge in different programming or scripting languages like Java, Linux, C++, PHP, Ruby, Phyton and/or R. Also expert knowledge should be present regarding different (NoSQL or RDBMS) databases such as MongoDB or Redis. Building data processing systems with Hadoop and Hive using Java or Python should be common knowledge to the big data technical consultant.
A Big Data engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analysing and visualizing large sets of data to turn information into insights using multiple platforms. He or she should be able to decide on the needed hardware and software design needs and act according to the decisions. The Big Data engineer should be able to develop prototypes and proof of concepts for the selected solutions.
Additional qualifications should include:
Desired Skills & Experience
Global company with European Management style
Entrepreneurship in a stable environment
Projects for big companies
True industry shapers
Work in a stable environment
Career development framework
We nurture your strongest asses; Knowledge
Flat structure, no strict hierarchy
A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion.
1976Founded in 1967 in Grenoble by Serge Kampf as Sogeti.
1970The first company in the sector to offer consulting.
1975Acquisition of Cap and Gemini
1980First major transatlantic contract with the Los Angeles Time.
1998First multinational contract with General Motors
2000Group headcount surpasses – 50.000
2010Group headcount surpasses 100.000
2016Serge Kampf passes away
2017Celebrations for 50 years Capgemini