Senior Data Engineer

About the role

This role is part of our evolution from serving traditional data engineering needs to building intelligent, customer-facing data products that power insights agents, data agents, predictive analytics, and AI-driven decision support. You will work on data acquisition, data modeling, pipeline development, cloud-native data platforms, and agentic solutions that help employers better understand and act on their recruitment data.

What you'll do

• Design, develop, and optimize data models, schemas, and datasets for cloud-based data platforms
• Build, optimize, and maintain reliable data pipelines using Python, SQL, Airflow, and cloud data technologies
• Support the development of Insights Agents and Data Agents that help users ask questions, generate insights, summarize trends, and make data-driven decisions
• Build and maintain data quality frameworks, automated tests, validation checks, and monitoring processes to ensure trustworthy data
• Collaborate with global engineering teams to define standards for data collection, modeling, governance, and AI-readiness

What you need

• 5–8 yrs of experience
• SQL
• Python
• Data modelling
• ETL
• LLMs
• Airflow
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Machine learning
• MLOps
• Git
• BigQuery
• Redshift
• Databricks