Aws Data Engineer

Tata Consultancy Services Limited; Renton (WA); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Discretionary annual incentive

Comprehensive medical coverage

401K plan

Job summary

Tata Consultancy Services in Renton, WA seeks a Senior Engineer to design and own a cloud data platform for HR data, covering ingestion, storage, processing, and archival. You will transform HR analytics needs into scalable data products and platform services, leveraging AWS and multi-cloud environments.

You will lead end-to-end data pipelines, ETL/ELT processes, and APIs integration, collaborating with data scientists and business stakeholders to deliver reliable data solutions.

Qualifications

• Demonstrated experience building platforms and data products.
• Demonstrated experience with data warehousing business solutions.
• Proficiency with cloud-platform technologies (AWS).
• Experience configuring APIs for data ingestion.

Responsibilities

• Design and own the end-to-end cloud data platform architecture for HR data.
• Translate analytics and ML requirements into data models and platform services.
• Define and implement data ingestion, ELT/ETL, and orchestration for HR sources.
• Lead development of data warehouses and data lakes with data-access APIs.
• Guide data standards and best practices across analytics teams.

Skills

AWS

Data platforms

Data warehousing

ETL/ELT

APIs

AI/ML

Multi-cloud

Education

Bachelor's degree in Computer Science

Job description

Must Have Technical/Functional Skills

• 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 configuring Application Programming Interfaces (APIs) for data ingestion
• 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
• Experience with cloud platforms and cloud-native technologies
• Experience with cloud technologies and/or cloud-native application development and
• microservices.

Publication-ready job description Page 2

Salary Range: $100,000 - $135,000 per year

TCS Employee Benefit and Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Location

Renton, WA

Function

TECHNOLOGY

Role

Senior Engineer

ID

438363

Skills

AWS

Salary Range

$100,000 - $135,000

Desired Candidate Profile

Qualifications

BACHELOR OF COMPUTER SCIENCE