Overview
Individual contributor role on JLL Technologies' Enterprise Data team, developing data solutions and pipelines that support JLL's global data strategy and enterprise reporting and analytics.
What you'll do
- Contribute to the development of information infrastructure and data management processes to move the organization toward a more sophisticated, agile and robust target state data architecture.
- Develop systems that ingest, cleanse and normalize diverse datasets, build data pipelines from internal and external sources, and build structure for previously unstructured data.
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- Understand how data flows and is stored across multiple applications such as CRM, Broker and Sales tools, Finance and HR.
- Develop data management and data persistence solutions for application use cases leveraging relational and non-relational databases, and enhance data processing capabilities.
What you'll need
- 3+ years of overall work experience.
- Bachelor's degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business or social science.
- Knowledge of using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage and Azure Search.
- Knowledge of using AI tools such as Cursor, Databricks Assistant and Claude.
- Hands-on experience building data pipelines in the cloud.
- Design and develop data management and data persistence solutions for application use cases leveraging relational and non-relational databases.
- Team player, reliable, self-motivated and self-disciplined, capable of executing projects in a fast-paced environment with cross-functional teams.
Nice to have
- AI agent development skills.
- Experience handling unstructured data, working in a data lake environment, leveraging data streaming and developing event- or queue-driven data pipelines.
Details
- Location: On-site, Bengaluru, KA.
- Scheduled weekly hours: 40.
Read the full description and apply on the company’s own careers page.