Data Scientist & Data Engineer

Garanti BBVA Teknoloji

ROBOTICS AUTOMATION AND MONITORING INITIATIVES MANAGEMENT / DATA SCIENTIST & DATA ENGINEER

Technical Skills

·         BS or MS in Computer Engineering, Electrical and Electronics Engineering or Industrials Engineering

·         Experienced in Python, Scala, SQL languages,

·         Having knowledge and experience in big data infrastructure systems (Kafka, Spark, ELK Stack, Hadoop, Hive, MapReduce etc.)

·         Knowledge and experience in artificial intelligence, algorithms and analytical modeling

·         Having analytical perspective and problem solving skills,

·         Competence in analyzing data and producing proactive solutions

·         Developing solutions for taking quick response for problems and root cause analysis,

·         Following and applying technology strategies and good practices,

Values and Competencies

·         Embracing customer first approach, able to develop trust-based relationshipwith customers and understand their needs

·         Embracing one-team approach, able to be a strong team player

·         Passion for quality and continuous improvement

·         Strong multi-tasking abilities and motivation in a fast paced environment

·         Strong desire for continuous learning and development in a self-led organization

·         Ability to orchestrate multiple projects and priorities in alignment with current business objectives

·         Strong analytical thinking, problem solving and decision making skills

·         Good command of written and spoken English

Job Description

Designing solutions for the processing and modeling of the alarm and logs generated by the monitoring systems and applications for end-to-end monitoring of IT Infrastructure and Application Services, developing or providing the most suitable products (researching, making POCs, performing procurement processes),  implementing products, operating with existing products and ensuring continuity,

Defining metric analyzes for monitoring, problem detection and proactive measurements, making improvements for generating necessary warnings and  visualization,

Using technologies such as machine learning, artificial intelligence and big data tools to ensure that the events coming from the systems are processed and interpreted quickly and accurately

Developing and implelementing of automatic recovery mechanisms for recovering services health.

Using the necessary robotic automation tools in order to minimize the human impact in the intervention of the systems and creating relevant scenarios.