Data Engineer

Job Description:

Senior Data Engineer – Content Ops & Site Quality

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 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 .
- Strong 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.

Location:
DGS India - Bengaluru - Manyata N1 Block

Brand:
Merkle

Time Type:
Full time

Contract Type:
Permanent