software engineer in gebze

posted
job type
permanent
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job details

posted
location
gebze, istanbul (europe)
job category
IT & Telecommunication
job type
permanent
reference number
4170
apply now

job description

Türkiye'deki hizmet sektörünün öncü firmalarından olan müşterimiz için "software engineer" arayışımız bulunuyor.

Work with many layers of the Fraud Issue in Payment Transactions Domain,
Conduct the progressive buildup of a research project to a business product,
Code advanced algorithms and building Software Systems for Fraud Detection and Prevention,
Work on data quality and consistency,
Build and coordinate the software systems that with foster data analysis efforts,
Build data pipelines and analytics tools that generates actionable insights and on which data scientists can work with,
Build Advanced Predictive Model Based Software Systems with your team.

qualification

Bachelor’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics),
Min. 5 years of experience in software development and architectural design,
Mastery in building Software-as-a-Service,
Solid understanding of SQL knowledge,
Independent and able to take on technical responsibility of projects,
Ability to break down complex problems to bite size steps and create a road map to follow,
Skillful in data cleansing, data quality assessment, and data model design,
Must be able to take care of documentations in projects,
Strong oral and written communication skills and presentation skills,
Solid ability to function as the coordinator with different parties in a project life cycle,
It is a plus to have previous enterprise experience in Java Enterprise Code Environments with Hibernate, Spring/Spring Boot Framework,
Experience in Test Driven Development or Domain Driven Development,
Manage coordination with different teams to evangelize best practices,
Possess a high degree of business insight, creativity, decision-making skills,
Being eager to learn, innovative and to be result oriented
Familiarity with: Big Data, Data Mining, Data Science, Scoring and Optimization,
Skill in the use of one or more analytic software tools or languages (like Scala, Python or R),
Experience working with big data technologies (like Hadoop, Java Map/Reduce, Hive, Spark SQL),
Master's/PHD or any academic experience in Machine Learning and Data Mining algorithms, preferably with a thesis/project is a plus.