- 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
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