Senior Data Engineer

Overview

Senior Data Engineer for JLL’s Enterprise Data team, responsible for designing and developing strategic data solutions using modern cloud data technologies.

What you'll do

• Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark.
• Define data ingestion architecture by collaborating with cross-functional teams.
• Build efficient data pipeline frameworks for data lakes, data warehouses, and analytics platforms.
• Troubleshoot data processing, data quality, and pipeline performance issues.
• Collaborate with data scientists, analysts, and stakeholders to deliver data solutions.
• Document infrastructure, pipelines, and ETL processes for handovers.

What you'll need

• Minimum 5+ years of experience in data engineering or full-stack development with focus on cloud-based environments.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred).
• Advanced expertise with Python, SQL, PySpark, and Spark on large-scale data projects.
• Strong Databricks experience.
• Ability to write complex SQL queries for data validation and integrity.
• Experience with automated testing for data pipelines across multiple testing types.

Details

• Location: On-site – Bengaluru, KA.
• Scheduled weekly hours: 40.