Cloud Data Engineer
hace 2 semanas
Headquartered in Basel, Straumann is a global leader in implant and restorative dentistry and oral tissue regeneration.
Having pioneered many of the most influential technologies and tech-niques in our field, we have a tradition of doing more to advance dental regeneration, restora-tion and replacement, as well as patient care.
Straumann partners with passionate people who fit in with the agile dynamics of our size-for-success company.
People at Straumann appreciate the opportunity to shape our future and create impact.
Encouraging leadership and inspiring ideas from our people has guided us through our proud history of pioneering innovation.
JOB PURPOSE The role of Cloud Data Engineer is pivotal to the implementation and support of Straumann's global data platform and the delivery of high-quality data products to our stakeholders across the business.
As a member of the global Data & Analytics team, the role focuses on the implementation and maintenance of scalable data pipelines and platform features that enable data consumers to self-serve on our platform.
Working in an Agile scrum team, the Cloud Data Engineer will collaborate closely with enterprise data architects, application developers, data owners, and other key business stakeholders to ensure seamless and efficient incorporation of data from across the organisation.
Bringing strong technical expertise in cloud environments, the role will play a key part in enabling data-driven decision-making across Straumann.
Main Tasks and Responsibilities Participate in the development, deployment, and continuous improvement of data product-related services, ensuring they are scalable, reliable, and secure.Integrate key business data from various source systems into the cloud-based data lakehouse, with reusability and self-service principles at the centre of all development efforts.Create logging and monitoring services, implementation of quality metrics, etc.
to ensure high performance and reliability of data pipelines and products.Perform monitoring of platform tools and data pipelines to ensure minimal downtime.Align with Global Data Architecture on integration strategies, data architecture principles and data standardsContribute to data upskilling through the creation of user-friendly documentation and training materials related to platform featuresRequirements
Education and Experience : University degree in computer science or related domain7+ years of total working experience5+ years of hands-on data engineering experience in a cloud environmentHands-on proficiency in cloud environments, ideally having worked with AWS technologies like S3, Redshift, Glue, etc., as well as industry-leading data warehousing and cataloging tools.Strong expertise in CI-CD pipelines (e.g., Github Actions) and infrastructure-as-code tools (e.g., Terraform).Development experience in programming languages like Python, PySpark, and experience in SQL optimization and performance tuning.Hands-on work experience in an SAP BW or Datasphere environment an advantagePersonal Attributes : Strong analytical thinking and structured way of workingOpen-minded, curious, and willing to learnIntrinsically motivated and dependableTeam player with good communication and interpersonal skillsComfortable with ambiguity and a dynamic work environmentJ-18808-Ljbffr
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