Data Engineer at Merkle | AdTechTalent
Home / Jobs / Data Engineer Data Science Recently On-site
Merkle
Data Engineer
senior data engineering SQL PySpark SQL Server SSAS Airflow Iceberg ECS Adobe Analytics AI LLM RAG chatbot data pipelines data modeling ETL data quality cloud generative AI stakeholder management
Ready to apply?
Join Merkle and work on a role built for experienced AdTech operators.
Quick snapshot
Bengaluru, India
Full-time
Full job description Senior Data Engineer role supporting Content Operations and Site Quality data engineering ecosystem. Responsibilities include managing and optimizing large-scale data pipelines, data models, and analytics infrastructure using SQL Server, PySpark, Airflow, Iceberg, and ECS. Develop and enhance AI/LLM-based solutions including RAG and agent-based applications. Troubleshoot data quality and performance issues. Collaborate with business and analytics stakeholders to translate requirements into scalable technical solutions. Required skills include strong experience in SQL, PySpark, data modeling, ETL/ELT, Adobe Analytics, and exposure to AI/LLM solutions. Preferred skills include building RAG/agentic AI applications, Python, APIs, and stakeholder communication.
What you'll do 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 Similar jobs
More roles worth a look Related opportunities based on specialty and working model so candidates can keep momentum.
TripleLift
New York, US • 4 months ago
$90K – $120K
data science machine learning python
TripleLift
Los Angeles, United States • 4 months ago
$290K – $350K
sales leadership programmatic CTV
TripleLift
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
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
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 Requirements 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: Experience building RAG/agentic AI applications using LLMs Preferred: Experience converting business/analytics requirements into SQL and data solutions Preferred: Experience with APIs, Python, and cloud technologies Preferred: Experience developing stakeholder-facing analytics or AI solutions Preferred: Strong communication and stakeholder management skills Tech stack SQL PySpark SQL Server SSAS Airflow Iceberg ECS Adobe Analytics AI/LLM RAG Python APIs Generative AI
Apply now Ready to take the next step in your career? Click the button below to continue to the application process.
Company
Merkle Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC.
Industry
Business Consulting and Services
Website
https://www.merkle.com
Posted
Recently
Category: Data Science
New York, US • 4 months ago
product management CTV programmatic
