Key skills
AWSAzureCloudETLGoogle Cloud PlatformJavaPythonC++CAIArtificial IntelligenceMachine LearningMLELTData WarehousingAnalyticsGCPGoogle Cloud
About this role
Role Overview
- 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
Requirements
- 5+ years of experience building platforms and data products
- 5+ years of experience working with data and data warehousing business solutions
- 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
- 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
- Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
- Experience with Artificial Intelligence (AI) hardware and software integration
- Experience with C++, Python and Java
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Google Cloud Platform
- Java
- Python
Benefits
- health insurance
- flexible spending accounts
- health savings accounts
- retirement savings plans
- life and disability insurance programs
- paid time off