Data Engineer
Há 3 dias
Job Description As Data Engineer - RFID you will work in a global and multidisciplinary team, that works on the latest technologies and creates value-added solutions Your main responsibilities will be: Development and operation of a modern Data WareHouse and Key/Value Store based API Application; Integration of article and manufacturing data supply for the API application; Development and operation of data access points for internal customers on AWS and Azure; Implementation/Tuning for reporting and dashboard applications; Collaboration with IT Colleagues and internal customers; Project Management in the relevant area; Implementing the right architecture, data structure, business logic, ETL routines, rule sets and interfaces; Providing corrective and preventative maintenance, including monitoring of system performance and integrity for SST; Coordinating support, ITSM process and data quality.
Qualifications Academic degree in Computer Science or related field; Experience with software development cycles, Agile development methodologies and customer-oriented solutions; At least 4 years of practical relevant work experience and good knowledge of OOP programming language (preferably Java and Spring ) for software implementations, SQL, software architectures, and databases; Extensive experience with REST APIs designs including versioning concepts; Advanced experience with data extraction and data modeling (SQL and non-SQL); Good knowledge of containerization technologies (e.g.
Kubernetes); General knowledge of security standards and encryption; General knowledge on Cloud environments: Azure & AWS, in addition to Kubernetes & Docker; Analytical and strategic way of thinking, self-organized and structured working style; Strong customer and service orientation, very good communication skills; Team orientation and intercultural empathy; Ability to promote ideas in complex and heterogeneous environments; Proficient English language skills (written and spoken).
Additional Information Our offer: Integration in a dynamic international work environment and team; A state-of-the-art tech stack; Hybrid working model (on-site / remote); Agile and collaborative workstyle; Continuous professional training and excellent possibilities of personal and professional development.
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