Data & AI Engineer

Must Have Technical/Functional Skills

CCore Data Engineering Competencies; Data Concepts & Data Modelling; Digital : Big Data Platforms; data

pipelines design; Microsoft fabric data agents; Azure AI Services; AI and ML Integration; Analytical and

problem solving skills; Performance tuning and monitoring; Digital : PySpark; ecommerce domain

knowledge

Roles & Responsibilities

Data Engineering:

Design, develop, and maintain scalable data pipelines using Azure Data Factory and Microsoft Fabric to

support DDS analytics and reporting needs

Build and optimize data models that power dashboards, experiments, and AI-driven personalization across

global markets

Implement data quality frameworks and monitor data integrity across the entire eCommerce data

ecosystem

AI Engineering:

Leverage Microsoft Fabric Data Agents and Azure AI services to build intelligent, self-service analytics

capabilities

Build automated data pipelines that generate insights and recommendations for business stakeholders

Collaborate with data scientists to operationalize ML models and AI solutions into production data pipelines Analysis & Optimization: Work closely with the teams to gather requirements and translate business needs into technical data solutions Troubleshoot and resolve complex data issues, ensuring data accuracy for critical business decisions Analyze customer behavior data to identify opportunities for pipeline optimization and new data products Support data democratization initiatives by building accessible, self-service data assets Collaboration & Documentation: Partner with data scientists, analysts, and business stakeholders to understand analytics requirements Document technical designs, data flows, data dictionaries, and operational procedures Mentor team members and share best practices in data engineering and AI implementation Participate in code reviews and contribute to continuous improvement of data engineering standards

TCS Employee Benefits Summary:

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Ma ternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commute r 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.