À propos
Roles & Responsibilities • Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival) • Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services • Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems) • Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business • Complete data modelling for acquisition and database implementation collaborating with different stakeholders • Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources • Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists • Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs) • Analyze and manage complex data • Guide other data and analytics professionals on data standards and practices • Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions • Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments • Leverage automation extensively for scalability, repeatability, and reuse
Generic Managerial Skills, If any • Experience in Human Resources • Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling • Experience with Azure DevOps (ADO) or Team Foundation Server (TFS ), GitLab, GIT, IIS, Windows Server • Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure • Experience with Cloud technologies and/or Cloud-native app development and microservices
Compétences linguistiques
- English
Avis aux utilisateurs
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