Aws Data Engineer

• 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

• 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

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.