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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, new 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 solutions.
- Contribute to solution design, technical discussions, and roadmap development.
- Clearly communicate complex technical concepts and solutions to non-technical stakeholders.

- Required Skills & Experience
- Strong 3-5 Years hands-on experience in Data Engineering with SQL and PySpark.
- Experience with SQL Server, SSAS, Airflow, and modern data platforms.
- Experience working with Iceberg and cloud/container-based environments such as ECS.
- Solid understanding of data modeling, ETL/ELT, data pipelines, and data quality.
- Experience with Adobe Analytics or similar digital analytics platforms.
- Exposure to AI/LLM solutions, RAG, AI agents, or Generative AI applications.
- Strong problem-solving and troubleshooting skills.
- Ability to work independently and manage multiple production-critical data assets.

- Preferred Skills
- Experience building RAG/agentic AI applications using LLMs.
- Experience converting business/analytics requirements into SQL and data solutions.
- Experience with APIs, Python, and cloud technologies.
- Experience developing stakeholder-facing analytics or AI solutions.
- Strong communication and stakeholder management skills.

? Interested candidates, please share your updated resume at: [email protected]

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