Data Engineer,DIgital Analytics and Experimentation (India)

Data Engineer,DIgital Analytics and Experimentation (India)

13 Oct
|
Ford Motor
|
India

13 Oct

Ford Motor

India

We are seeking an experienced Data Engineer, Digital Analytics to join Ford’s Digital Analytics & Experimentation team. This role will design, build, validate, and scale the data foundations that power trusted digital measurement, KPI reporting, experimentation, AI-enabled analytics, and enterprise digital data products across the broader DAE portfolio.

Working closely with digital product, analytics, tagging, data platform, and business stakeholders across Digital Analytics & Experimentation, you will translate analytical and product requirements into resilient data pipelines, reusable data assets, automated validation frameworks, and well-documented data models that support Ford’s global digital ecosystem.

The strongest candidate will bring deep technical fluency in data engineering, robust digital analytics context, and practical experience applying AI tools, automation, and modern development practices to improve the speed, quality, and scalability of analytics delivery.

Responsibilities
• Design, build,



and maintain scalable data pipelines and curated data assets that support digital analytics, KPI reporting, experimentation, personalization, and AI-enabled insight generation.

• Partner with analytics leads, product managers, tagging teams, engineers, and data platform partners to translate measurement needs and stakeholder questions into reliable technical requirements, data models, and delivery plans.

• Integrate, query, transform, and validate clickstream, customer, vehicle, lead, dealer, campaign, CRM, product, and other approved enterprise datasets to create trusted views of digital journeys and business outcomes.

• Develop reusable data models, semantic layers, feature-ready datasets, and governed data products that enable Power BI reporting, self-service analytics, advanced analysis, and AI-assisted analytics workflows.

• Implement automated data quality checks, reconciliation routines, anomaly detection, and pipeline monitoring to improve confide

📌 Data Engineer,DIgital Analytics and Experimentation (India)
🏢 Ford Motor
📍 India

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