In your new role you will:
- Identify and understand the different needs and requirements of consumers and data providers (e.g. transaction processing, data ware housing, big data, AI/ML) and translate business digitalization needs to technical system requirements.
- Team up with our domain-, IT- and process experts to assess the status quo, to capture the full value of our data and to derive target data-ecosystems based on business needs
- Design, build, deploy and maintain scalable and reliable data assets, pipelines and architectures.
- Team-up with domain IT- and process experts and especially with you key users to validate the effectiveness and efficiency of the designed data solutions and contribute to their continuous improvement and to their future-proofing.
- Support data governance (Data Catalogue, Data Lineage, Meta Data, Data Quality, Roles and Responsibilities) and enable analytics use cases with a focus on data harmonization, connection and visualization.
- Drive and/or contribute to digitalization projects in cross-functional coordination with IT and business counterparts (e.g. data scientists, domain experts, process owners).
- Act as first point of contact for data solutions in the ATV QM organization to consult and guide stakeholders to leverage the full value from data and to cascade knowledge of industry trends and technology roadmaps for the major market players (guidelines, principles, frameworks, industry standards and best practice, upcoming innovation, new features and technologies)
Your Profile
You are best equipped for this task if you have:
- A degree in Information Technology, Business Informatics, Computer Science or related field of studies.
- At least 5 years of relevant work experience related toData Engineering and/or Analyticswith strong data engineering focus
- Ability to translate complex business needs into concrete actions
- Excellent expertise ofdatabase concepts(e.g. DWH, Hadoop/Big Data, OLAP), related query languages (e.g. SQL, Scala, Java, MDX)
- Expertise indata virtualization(e.g. Denodo)
- Working knowledge on the latest toolsets for data analytics, reporting and data visualization (e.g. Tableau, SAP BO) as well as inPython,R and Spark is a plus
- Ability to work both independently and within a team
