Our Company Cognizant is one of the world's leading services companies, transforming clients' business, operating and technology models for the digital era.
Headquartered in the U.S., Cognizant is ranked 195 on the fortune 500 and is consistently listed among the most admired companies in the world.
With 285,800 employees worldwide, Cognizant is one of the top performing and fastest growing companies in the world. Cognizant Benelux has offices in Amsterdam, Eindhoven and Brussels.
We provide consulting, engineering, technology and outsourcing solutions and services with combined onshore and offshore teams.
We are hiring graduates to join our international colleagues within Business Consulting, Technology or Domain teams who provide services to our clients across industries.
Prior to your client engagement, you will attend an Induction Training abroad. After this you will join our 18 months graduate program, which will focus on personal development and technical training.
We will ensure you get all the support to kickstart your career. Your role Individuals within the Big Data Engineer role ensure that datapipelines are scalable, repeatable, and secure, and can serve multiple users.
They help facilitate getting data from a variety of different sources, gettingit in the right formats, assuring that it adheres to data quality standards,and assuring that downstream users can get that data quickly.
This role usuallyfunctions as a core member of an agile team. These professionals are responsible for the infrastructure thatprovides insight from raw data and handles diverse sources of data seamlessly.
They enable big data and batch / real-time analytical solutions that leverageemerging technologies. Additional responsibilities include developingprototypes and proof of concepts for the selected solutions, and implementingcomplex big data projects with a focus on collecting, parsing, managing, analysingand visualizing large sets of data using multiple platforms.
They understandhow to apply technologies to solve big data problems and to develop innovativebig data solutions. The Big Data Engineer is a technical job that requires substantialexpertise in a broad range of software development and programming fields.
These professionals have knowledge of data analysis, end user requirementsanalysis, and business requirements analysis to develop a clear understandingof the business needs and to incorporate these needs into technical solutions.
They have a solid understanding of physical database design principles, and thesystem development life cycle. These individuals must work well in a teamenvironment.
Training, Support and Coaching Prior to starting your first clientengagement, you will attend a New Hire Training Program for graduates abroad toensure you have a solid understanding of Cognizant’s culture and processes.
Youwill have the opportunity for further training and support by our own Academyto help you achieve your long-term career goals, like Working with differentcultures, Requirement gathering, Project management, Agile development and manymore.
Crucial Tasks Big Data Engineer 1.Designing,developing, constructing, installing, testing and maintaining the complete datamanagement & processing systems DataPipelines 2.
Aggregate& Transform raw data coming from a variety of data sources to fulfill thefunctional & non-functional business needs Data Transformation 3.
Discoveringvarious opportunities for data acquisitions and exploring new ways of usingexisting data Data Ingestion 4.Creatingof data models to reduce system complexity and hence increase efficiency andreduce cost Data Architecture &Models 5.
Performanceoptimization & monitoring : automating processes, optimizing data delivery& re-designing the complete architecture to improve performance 6.
Proposingways to improve data quality, reliability & efficiency of the whole system Data Quality 7.Buildingcomplete infrastructure to ingest, transform & store data for furtheranalysis & business requirements DataStorage 8.
Creatinga complete solution by integrating a variety of programming languages and toolstogether Data Value Requirements : -Bachelor's degree in computer science,computer engineering, other technical discipline, or equivalent workexperience.