Data Engineer

Overview

Senior Data Engineer supporting data engineering for Content Operations and Site Quality. The role focuses on scalable data pipelines, data models, analytics infrastructure, and AI-driven solutions.

What you'll do

• Own data engineering activities for Content Operations and Site Quality.
• Develop and optimize pipelines supporting approximately 150 MDP tables, two SSAS cubes, and Airflow workflows.
• Build scalable processing solutions with SQL Server, Iceberg, PySpark, ECS, and Airflow.
• Troubleshoot data quality, pipeline, performance, and production issues through resolution.
• Develop AI/LLM solutions, including RAG and agent-based applications.
• Translate stakeholder requirements into scalable technical solutions.
• Communicate technical concepts to non-technical stakeholders.

What you'll need

• Strong hands-on data engineering experience with SQL and PySpark.
• Experience with SQL Server, SSAS, Airflow, and modern data platforms.
• Experience with Iceberg and cloud or container 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 skills and the ability to manage production-critical data assets independently.

Nice to have

• Experience building RAG or agentic AI applications using LLMs.
• Experience with APIs, Python, and cloud technologies.
• Experience developing stakeholder-facing analytics or AI solutions.
• Strong communication and stakeholder management skills.

Details

• Location: Bengaluru, Karnataka, India.
• Employment type: Full time.
• Contract type: Permanent.