With more than 600 employees located in development centers in the U.S., Europe, India and Malaysia, Monster Technologies fosters an innovative and entrepreneurial environment focused on leveraging cutting-edge technology to develop industry-leading products for private businesses. Monster takes its cutting edge technologies and adapts them for clients as well as develops new products to fit its clients unique hiring and recruiting needs.
Are you a fast and eager learner? Do you enjoy working with new technologies? Are you a proven technologist and architect with a passion for data in all its shapes and sizes? Do you have a desire to provide high quality solutions and best practices? The successful candidate will be someone who is intellectually curious and able to take the initiative and find creative solutions to business problems. We are looking for someone who not only embraces change, but who accelerates it.
Monster is looking for an exceptional Big Data Engineer to join our fast growing Development Group. We are a dynamic, talented, and passionate team looking for highly talented individuals. We create and support complex algorithms to perform large-scale distributed data processing on our high performance clusters. If you are excited to create solutions to minimize business risks and tackle complex real-world challenges, this is the right opportunity for you!
This is a fantastic opportunity for an experienced engineer to combine data engineering and data science, and get exposure to the latest tech available.
The RoleProvide recommendations on optimizing & improving data relevance, search functionality, user behavior analysisImprove, implement test theories; transform theories, showcase measurable results on improving search functionality and user experienceWork as part of an Agile / Scrum teamDevelop algorithms to perform data fusion and data analysis in very large scale distributed environmentCreate infrastructure/tools to enable management and efficient processing of large amounts of dataProvide technical and architectural leadership for excellent big data and analytics servicesSupport the creation of collateral and operational best practices materialsAnswer technical queries from / liaise with, all other stakeholders on technical matters.
Must have skillsDegree in Engineering/Computer Science, Sciences or Mathematics. Alternatively a proven track record of delivering complex or cutting edge solutions within the IT industryGood knowledge of various database systems from which data science tasks might draw data (Hadoop, SQL, NoSQL, Graph, Lucene, Streaming)Hands on experience using R/Python for data scienceGood software engineering practices (appreciate the importance of good coding practices to DS, unit testing, version control, code review…)
Good to haveDetailed knowledge on a range of machine learning techniques. Implementing statistical and machine learning algorithms efficiently.Data visualization experienceDesigning data analytics pipelines processing Terabytes of dataGood understanding of data manipulation/wrangling techniquesNice to have interest in Natural Language ProcessingCloud such as AWS/Azure
“References”Links to open-source project you actively participated inProfile on kaggle.com if available
What Monster Offers:International working environment.A 25 day vacation package.Competitive salary.Relocation assistance.Company benefits; including life insurance, language courses, food vouchers, discounted gym membership, sport activities.Career progression opportunities.Casual dress code
If you think you are the right person for the job, please do not hesitate to apply using the apply button below to join our global Technologies Team.