Dettagli della offerta

Data Privacy u-blox respects your privacy and is committed to protecting your personal information that you share with us. Your information will not be disclosed to any unauthorized third party, i.e. u-blox will only disclose your information to those contractors or employees of u-blox AG or any of its affiliated companies (parent company, subsidiaries) who have a reasonable need to know your information in order to hire new staff or to keep a reasonably confined database for future hiring purposes. Please ensure that your application does not contain any sensitive personal information (religious beliefs / sexual orientation / health information / race / trade-union membership). If you wish to have your personal information removed please contact us. About u-blox u-blox (SIX:UBXN) is a global technology leader in positioning and wireless communication in automotive, industrial, and consumer markets. Their smart and reliable solutions, services and products let people, vehicles, and machines determine their precise position and communicate wirelessly over cellular and short range networks. With a broad portfolio of chips, modules, and secure data services and connectivity, u-blox is uniquely positioned to empower its customers to develop innovative and reliable solutions for the Internet of Things, quickly and cost effectively. With headquarters in Thalwil, Switzerland, the company is globally present with offices in Europe, Asia, and the USA. Job Description If you are enthusiastic and passionate about data and delivering high-quality data solutions, join our team and help us build and maintain data pipelines and systems. As a data engineer, you will be responsible for designing, developing, testing, and deploying scalable and reliable data solutions that support our business needs and goals. You will also collaborate with data analysts and other stakeholders to ensure data quality and availability. A hands-on approach and passion for software and data design and development are what we are searching for. You will be working in a high-tech, innovative, and multicultural environment, in which you will leverage your expertise, creativity, autonomy, and communication skills. Your Responsibilities Deliver scalable ingestion solutions to capture data from many different data sources, and script data transformations and orchestrate data processing pipelines. Identify, resolve, and prevent data quality and consistency issues in collaboration with business stakeholders, and identify optimization potentials and implement them. Establish means/tools for monitoring to ensure high performance and stability. Maintain and optimize ingestions, transformations, and pipelines. Test data flow implementation and optimization. Maintain existing processes for test data flow and the related databases, developing extensions/enhancements to the current data flow (designing, implementing, testing, and documenting new solutions). Grant fast and stable access to test data to the production engineering team. Stay updated with industry best practices, emerging technologies, and trends in Data and Analytics and related domains, and proactively identify opportunities for system enhancements. Creation and maintenance of technical documentation. Your Skills and Experience Bachelor's degree in computer science, computer engineering, or electrical engineering (applied science or similar) or proven experience in a similar position. Experience in relational database design, implementation, and tuning (PostgreSQL, MySQL, Oracle SQL, PL/SQL). Knowledge of Functional Programming (Python is required, Java, XML, JSON are appreciated) and familiarity with code versioning tools (GitHub). Knowledge of Data modeling, Data Warehousing, and ETL (PySpark, Scala, or Pandas) concepts. Self-driven and proactive mindset, with good communication skills (fluent English) and the ability to identify opportunities for process improvements and propose innovative solutions. Friendly and customer-oriented personality. Bonus Points Proven experience delivering solutions on AWS and working with different AWS/cloud-native technologies like S3, Redshift, DynamoDB, Athena, EMR, RDS, EC2, Lambda, Step function, and cloud formation templates. Knowledge of advanced database storage concepts (NoSQL database and big data technologies). Hands-on experience with CI/CD and DevOps in a software engineering team. Experience with data visualization and reporting tools, such as Power BI or Tableau. Work experience in a global environment and previous experience in the IoT/semiconductor manufacturing world is a plus. Certifications in AWS Data (AWS Solutions Architect – Professional, AWS Big Data Specialty, AWS AI/ML Specialty). What are your perks? A multicultural and international company with over 60 different nationalities. Project-based activities working with colleagues across the globe. A start-up and innovation mindset while in the process of scaling-up processes and efficiencies. Hybrid working model & flexible working hours. A strong learning environment and regular career discussions. Company Performance and RSU. Nice location on the Carso natural area, 20 min away from Trieste downtown. Well-being: family environment, indoor kitchen areas, outside recreational area, yoga lessons, jogging group at lunch time, health insurance, flexible entry and lunch break time, 2% as additional contribution to pension funds. Knowledge sharing is our philosophy. We see diversity as a strength and promote a culture of inclusion among our employees. Our varied backgrounds, ideas and experiences are critical to our success. We strive to become a strong learning organization and are committed to provide our employees with equal opportunities regardless of differences such as gender, race, ethnicity, generations, belief. Applications Close Date Contact Are you interested in this challenging position within an international work environment in a successful company? Apply now You will be working with a motivated team in an exciting technology. We are looking forward to receiving your application. J-18808-Ljbffr


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