Data Engineer for Big Data Solutions

• As a Data Engineer for Big Data Solutions you will actively collaborate in the development of IT pipelines to transfer data between different systems in the international semiconductor operations network (SO)
• This includes working on ETL (Extract – Transfer – Load) development for Hadoop ecosystem, SQL and other related technologies
• Support in developing and programming a custom ETL framework in Python
• Work with customer departments and senior management to understand business objectives and requirements of the organization and develop solutions
• Collaborate with IT departments from different plants worldwide to roll out our developed solutions to the semiconductor IPN
• Be part of an agile development team and take responsibility for tasks defined by the product owner

Requirements

• University Degree (Bachelor/Master) in Information Technology or comparable qualifications
• Candidate posses 3-5 years similar work experience in the same field
• Good communication skills (Verbal and Written) especially in meetings and reviews with all levels and departments
• Able to work in an intercultural team
• Strong interest in modern technologies, agile mindset and ability to work under pressure
• Reliability and flexibility to work in a pioneer team
• Knowledge of programming language like Python, Java, C++
• Experience with working in a Hadoop Ecosystem (eg. PySpark, Airflow, Kafka)
• Structured and independent way of working, analytical skills to grasp complex interrelationships
• Willingness to take over responsibility
• Experience with project management tools and processes
• Technical background within semiconductor business
• Fluent in English (written and spoken), German skills are a plus