JLL
Data Engineer 1
ClosedThis opening has closed. New ones like it are posted on WhatsApp every day.
Get new jobs on WhatsApp- Location
- Bengaluru
- Work mode
- See listing
- Experience
- 1–3 yrs exp
- Pay
- ₹7–12 LPA (Est.)
- Type
- Full-time job, Developer
- Added
- 4 November 2026
- Apply by
- 30 November 2026
About this role
This role is in the JLL Technologies team in Bengaluru, which builds data solutions for JLL's real estate business and clients. The data engineer designs and runs ETL/ELT pipelines that bring in, clean and standardise data from many sources, working alongside senior engineers. Daily work includes building and tuning Databricks notebooks, PySpark and SparkSQL code and Delta Lake tables, writing data models and scripts, and testing pipelines. The role also involves working with business teams to turn requirements into documented technical solutions and using AI coding assistants while checking their output. It suits someone with 1 to 3 years of experience, including at least a year on Azure Databricks.
JLL was hiring for Data Engineer 1, a full-time role based in Bengaluru.
Who can apply: 1–3 yrs exp. Skills: Azure Databricks, PySpark, SparkSQL, Python, Azure Data Factory.
This opening has closed (closed on 2026-11-05). Open roles like it are listed on this page and at hirastra.com/jobs.
What you'll do
- Design, build and monitor ETL/ELT pipelines that ingest and cleanse data from multiple sources
- Build, debug and optimise Databricks notebooks, PySpark/SparkSQL code and Delta Lake tables
- Develop ETL code, data models, queries, scripts and schedules
- Work with batch and streaming patterns and structured and unstructured data under guidance
- Perform unit, integration and regression testing and support user acceptance testing
- Translate business requirements into technical solutions and documentation
What you need
- Bachelor's or Master's degree in Computer Science or a related quantitative discipline
- 1 to 3 years of relevant experience, including at least 1 year with Azure Databricks
- Skills in SQL, Python, PySpark, SparkSQL, Delta Lake, Azure Data Factory, Azure Functions and Azure DevOps CI/CD
- Strong knowledge of the Software Development Life Cycle
- Hands-on performance tuning of queries and pipelines
- Good written, verbal and stakeholder communication skills
Skills
- Azure Databricks
- PySpark
- SparkSQL
- Python
- Azure Data Factory
"Est." = Hirastra's estimate based on market data, not an official figure.
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