Role: Senior Engineer
Required Skills: AWS
Qualification: BACHELOR OF COMPUTER SCIENCE
Experience: 10 - 15 Years
Function: TECHNOLOGY
Apply By: 2027-01-02
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
Publication-ready job description Page 2
- Experience with cloud platforms and cloud-native technologies
- Experience with cloud technologies and/or cloud-native application development and
microservices.
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.