Job Summary

We are seeking a Senior Data Engineer who is a self-starter to work in a diverse and fast-paced workplace as part of our Enterprise Data team. This individual contributor role is responsible for designing and developing data solutions that are strategic to the business and built on the latest technologies and patterns. This is a global role that requires partnering with the broader JLLT team at the country, regional, and global levels by utilizing in-depth knowledge of data, infrastructure, technologies, and data engineering experience.
Responsibilities
Design, develop, and maintain scalable and productive cloud-based data infrastructure using SQL and PySpark
Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture
Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms
Troubleshoot and resolve issues related to data processing, data quality,



and data pipeline performance
Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, and PySpark
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs
Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers
Create complex automated tests and integrate them into testing frameworks
Requirements
Education / Experience
Bachelors degree in Computer Science, Data Engineering, or a related field (Masters degree preferred)
Minimum 5+ years of experience in data engineering or full-stack development, with a focus on cloud-based environments
Technical Skills
Advanced expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
Solid

📌 Senior Data Engineer Bengaluru
🏢 Jones Lang LaSalle (JLL)
📍 Bengaluru