Senior Data Engineer

Overview

Senior Data Engineer responsible for designing, developing, and operating strategic data solutions for JLL’s Enterprise Data team. The role partners globally and functionally leads data engineers while delivering modern data architecture and analytics capabilities.

What you'll do

• Design information infrastructure and data management processes.
• Build systems that ingest, cleanse, normalize, and structure diverse data.
• Develop and operate data pipelines and modern data architecture solutions.
• Design data persistence solutions using relational and non-relational databases.
• Develop proofs of concept to validate solution proposals and support migrations.
• Functionally lead data engineers and mentor junior engineers.

What you'll need

• At least 6 years of overall work experience.
• Bachelor’s degree in a quantitative or related discipline.
• At least 6 years using Python, Kafka, Spark Streaming, and listed Azure data services.
• Experience with unstructured data, data lakes, event-driven pipelines, and streaming.
• Knowledge of cloud computing, microservices, networking, and security.
• Strong technical, analytical, organizational, and collaboration skills.

Nice to have

• Experience with Azure is preferred over other cloud platforms.

Details

• On-site role in Bengaluru, Karnataka.
• Scheduled weekly hours: 40.