Bangalore · On-site

Data Engineer 1

Full-timePosted 4 Nov

Salary: Not disclosed
Experience: 1–3 years
Eligible batches: 2023 · 2024 · 2025
Location: BangaloreOn-site
Apply by: 30 Nov 2026

About the role

JLL is looking for a Data Engineer to join its Technologies team in Bangalore. The role focuses on building and maintaining Azure‑based data pipelines, working with Databricks, PySpark, SparkSQL and Delta Lake to turn business needs into reliable, well‑documented data solutions.

Responsibilities

Design, develop and monitor ETL/ELT pipelines that ingest, cleanse and normalize data from multiple sources.
Build and optimise Databricks notebooks, PySpark/SparkSQL code and Delta Lake tables.
Write metadata definitions, data models, queries, scripts and schedule maintenance tasks.
Collaborate with business stakeholders to translate requirements into technical designs and documentation.
Work with batch, event‑driven and streaming patterns such as Kafka, Spark Streaming and Azure Event Hubs.
Participate in unit, integration, regression and user‑acceptance testing while following Agile delivery practices.

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Eligibility

1‑3 years of relevant data‑engineering experience, including at least 1 year on Azure Databricks.
Bachelor’s or Master’s degree in Computer Science or a related quantitative discipline.
Strong communication skills for stakeholder management and technical writing.

Skills

Azure Databricks, Azure Data Factory, Azure DevOps CI/CD.
Python, PySpark, SparkSQL, SQL, Delta Lake.
Familiarity with ADLS Gen2, Kafka, Spark Streaming, Azure Event Hubs.
Exposure to relational and non‑relational databases such as Azure SQL, Cosmos DB or MongoDB.
Experience with AI‑assisted coding tools like Cursor, Databricks Assistant or Claude.

Resume keywords

Terms from this listing. Many screening tools match exact words, so mirror the ones you genuinely have.

Asked for

Azure databricks
Python
PySpark
Spark SQL
Delta lake
Azure data factory
Azure DevOps
SQL
Azure functions
Kafka

Nice to have

Adls gen2
Spark streaming
Azure event hubs
Databricks assistant

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Benefits

Competitive total rewards package with performance‑linked pay.
Opportunities for continuous learning and upskilling in emerging technologies.
Inclusive, entrepreneurial work environment that encourages personal growth.
Access to internal AI tools that streamline development and improve code quality.

Apply now

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