Cloud Data Engineer

Cloud Data Engineer

Location: Seattle, WA / Dallas, TX

Duration: Fulltime

Must Have Technical/Functional Skills

• 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 integration environment.

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

If you are interested, please send me your updated resume ASAP with below details :

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