J

Data Engineer 2

jll
NewPosted today

LOCATION

Bengaluru · Onsite

EXPERIENCE

3+ Years

TYPE

FullTime

SKILLS REQUIRED

Data EngineeringData PipelinesData ModelingData ArchitecturePythonApache KafkaSparkMicrosoft Azure

Job description

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.

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Data Engineer 2