Data Engineer - Marketing Optimization Capabilities & Analytics (MOCA)

About the Team

Marketing Optimization Capabilities & Analytics (MOCA) is an enterprise Marketing Mix Modeling (MMM) platform that enables American Express to measure and optimize the impact of marketing investments. MOCA separates short-term advertising-driven contributions from long-term business trends, external factors, and seasonal influences to provide actionable insights for marketing decision-making.

The platform models marketing drivers (inputs) and acquisition outcomes at the product, response channel, and DMA level on a weekly basis, helping leadership understand the effectiveness and ROI of enterprise marketing spend.

Role Summary

We are seeking a highly motivated Senior Data Engineer to join the MOCA team. This role will be responsible for designing, building, and maintaining scalable data pipelines and analytical data products that power enterprise-level Marketing Mix Modeling and marketing analytics capabilities.

Required Qualifications
- Bachelor's or Master's degree in Computer Science,



Engineering, Data Science, or related field.
- 5+ years of experience in Data Engineering or related disciplines.
- Strong SQL skills and experience working with large-scale analytical datasets.
- Expertise in Python, Spark, Scala, or Java.
- Experience building enterprise-grade ETL/ELT pipelines.
- Strong understanding of dimensional modeling, data warehousing, and data architecture principles.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Experience with orchestration tools such as Airflow, Control-M, or similar platforms.
- Solid understanding of data quality, observability, and governance practices.Excellent communication and stakeholder management skills.
- Preferred Qualifications
- Experience supporting Marketing Analytics, Customer Analytics, or Marketing Mix Modeling platforms.
- Experience working with large-scale customer acquisition and marketing dataset

📌 Data Engineer Iii (Gurugram)
🏢 American Express
📍 Gurugram