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# Aws Data Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Kent, WA, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Computing, Learning Management Systems, Data Architecture, Extract Transform Load (ETL), Data Mining, Data Warehousing, DevOps, Human Resources Information System (HRIS), HR Analytics, Machine Learning, Data Mesh, Software Engineering, Unstructured Data, Cloud Platform System, Data Ingestion, HybridCloud, Gitlab, Git, Containerization, Data Lakes, Information Technology, AWS Data Analytics, Data Management, Software Version Control, Data Pipelines, Devsecops, Microservices
- **Published:** November 5, 2026
- **Apply:** https://diversityjobs.com/career/18844039/Aws-Data-Engineer-Washington-Renton

## About the Role

* Demonstrated experience building platforms and data products
 * Demonstrated experience working with data and data warehousing business solutions
 * Demonstrated experience with cloud-platform technologies (AWS)
 * AWS data engineering services (Glue, Lambda, Redshift), data modeling, and data mesh
 * Demonstrated experience with data pipeline tools and Extract, Transform, Load (ETL) services, * Experience with cloud platforms and cloud-native technologies
 * Experience with cloud technologies and/or cloud-native application development and
microservices., BACHELOR OF COMPUTER SCIENCE

## Description

* Experience integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities with data
platforms.
Roles & Responsibilities

 * Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data,
including ingestion, 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 and streaming), transformation patterns
(ELT/ETL), and orchestration for HR sources such as HRIS, payroll, Learning Management Systems,
recruiting, time and attendance, benefits, and performance systems

 * Design, develop, maintain, and optimize internal company data architecture for complex
databases and data warehouses required to operate the business

 * Complete data modeling for acquisition and database implementation in collaboration 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, including data
warehouses and data lakes, with data-access 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 and stability, and operational efficiency of data
and analytics solutions

 * Lead the development of repeatable data pipelines across complex multi-cloud 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 source control and CI/CD tooling such as Azure DevOps, GitLab, or Git