Description

•              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)

•              AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh

•              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 integrationenvironment.

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

Key Skills

Education

Bachelor's degree