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Dentsu
Senior Data Engineer
Dentsu
New Delhi•On-site•4-7 Yrs•Jul 1
Job description
Overview
We are seeking a highly motivated and analytical Data Engineer to support the evolution of our customer analytics and AI-enabled data platform on Google Cloud Platform (GCP).
Responsibilities
- Customer Analytics Data Engineering
- Design and maintain scalable data pipelines supporting customer journey analytics.
- Integrate Adobe Analytics clickstream data with:
- Salesforce CRM
- POS and transaction systems
- Marketing platforms
- Build reliable ingestion, transformation, and serving layers for analytics and AI use cases.
- Ensure high-quality, governed, and trusted customer analytics datasets.
- Dataform & Data Transformation Modernization
- Develop and maintain enterprise-grade ELT pipelines using Dataform and BigQuery.
- Support migration and modernization of existing workflows into Dataform-based architectures.
- Implement reusable transformation logic and standardized data engineering patterns.
- Optimize data processing performance, maintainability, and scalability.
- Establish best practices around testing, deployment, monitoring, and documentation.
- Clickstream & Customer Journey Analytics Enablement
- Build data models supporting customer journey analysis and behavioral insights.
- Enable tracking and reporting across customer touchpoints and digital experiences.
- Support creation of unified customer views by integrating digital, CRM, and transaction data.
- Collaborate with analytics teams to improve data accessibility and business usability.
- Semantic Layer Development
- Design and implement semantic data models that simplify enterprise data consumption.
- Define business-friendly metrics, dimensions, and reusable analytical entities.
- Support creation of governed semantic layers for reporting, analytics, and AI applications.
- Collaborate with business and analytics stakeholders to standardize KPIs and data definitions.
- Contribute to metadata management and enterprise data catalog initiatives.
- AI & Gemini Data Enablement
- Build AI-ready datasets and data structures supporting enterprise GenAI initiatives.
- Support implementation of semantic data foundations for Gemini-powered analytics experiences.
- Enable integration with Gemini Enterprise and BigQuery connectors.
- Prepare and optimize datasets for conversational analytics and AI-assisted data interaction.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field.
- 4 - 6 years of experience in cloud data engineering and analytics platform development.
- Strong hands-on experience with BigQuery, SQL, and Dataform.
- Exposure to Adobe Analytics or similar digital analytics platforms.
- Strong understanding of semantic modeling and analytical data structures.
- Familiarity with AI-enabled analytics ecosystems and modern data platforms.
- Strong stakeholder communication and problem-solving skills.
- Retail, eCommerce, Digital Commerce, or Customer Experience Analytics domain.
- Adobe Analytics implementation or support experience.
- Exposure to Gemini Enterprise, GenAI, or conversational analytics initiatives.
- GCP Professional Data Engineer certification.