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Senior Data Engineer

Role Overview
• We are looking for a Senior Data Engineer to support the Data Engineering ecosystem for Content Operations and Site Quality . The role will involve managing and enhancing large-scale data pipelines, data models, analytics infrastructure, and AI-driven solutions that support business and analytics teams.
• The ideal candidate will have strong hands-on experience in SQL, PySpark, data engineering, cloud/data platforms, and a working understanding of Adobe Analytics and AI/LLM-based solutions.
• Key Responsibilities
• Data Engineering & Platform Management (Must have)
• Own and manage Data Engineering activities supporting Content Ops and Site Quality.
• Develop, maintain, and optimize data pipelines supporting approximately 150 MDP tables, 2 SSAS Cubes, and multiple Airflow workflows.




• Build and maintain scalable data processing solutions using SQL Server, Iceberg, PySpark, ECS, and Airflow.
• Troubleshoot data quality, pipeline, performance, and production issues and drive them through to resolution.
• Support data modeling and development of reliable datasets for downstream analytics and reporting.
• AI & Analytics Solutions (Preferred)
• Develop and enhance AI/LLM-based solutions, including RAG and agent-based applications.
• Contribute to an AI agent/RAG solution that enables users to translate Adobe Analytics requirements into SQL queries.
• Maintain and enhance the Client’s chatbot assistant, including updates, recent capabilities, and ongoing performance improvements.
• Identify opportunities to leverage AI and automation to simplify data and analytics workflows.
• Stakeholder & Solution Development
• Partner with business and analytics stakeholders to understand requirements and translate them into scalable technical so

📌 Senior Data Engineer (Mumbai)
🏢 Dentsu Global Services
📍 Mumbai