Cloud Data Engineer
ING Direct
ResponsibilitiesWrite maintainable code with consideration for non-functional requirementsChampion effective adoption of continuous delivery practicesImplement solutions with resiliency, scalability and fault tolerance / recovery in mindTake ownership of the applications from ideation to operationalisation and maintenanceContribute to the effective adoption of continuous delivery practicesPromote secure development practices and consider the safety of our customer data in all activities
Requirements:
We use a broad range of tools, languages, and frameworks. We don’t expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;
Has Minimum 6+ years in development/software engineering and has extensively knowledge of working in Agile organisationsStrong Python and SQL skill and good to have Java experience.Knowledge of ETL and data warehousing methods, good to have Informatic experience.Experience of Google Cloud Platform, e.g. BigQuery, Dataflow, Cloud Function, Vertex AI.Good to have experience of building Micro services, preferably with SpringBoot.Experience of building production grade ML feature stores, model stores or ML pipelines in GCP.Basic understanding of modern DevOps tool set, e.g. Azure Devops, Git.You will: Continually develop their own capabilities, keeping current with industry trendsAt times operate in ambiguity and determine the best course of action in cooperation with their teamDesire to learn and contribute in all aspects if software deliveryHave demonstrated experience, either professional or otherwise, in cloud data engineeringA drive to deliver incrementally and continuously within an Agile environment
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