Data Engineer 1
Jones Lang LaSalle Incorporated8 days ago
Bengaluru, IndiaEntry Level
Responsibilities
- Plan, design, develop, execute, and monitor data integration and ETL/ELT pipelines.
- Build, debug, and optimize Azure Databricks notebooks, PySpark/SparkSQL code, and Delta Lake tables.
- Develop ETL code, metadata definitions, data models, queries, scripts, schedules, and maintenance procedures.
- Translate business requirements into technical data solutions and create documentation for accurate use and interpretation of JLL data.
- Work with batch, event-driven, and streaming patterns and structured and unstructured data in a data lake environment.
- Contribute to relational and non-relational database and data persistence solutions.
- Perform unit, system integration, regression, and user acceptance testing.
- Use and validate AI-assisted development tools including Cursor, Databricks Assistant, and Claude.
- Build proofs of concept and participate in Agile delivery with the data engineering team.
- Maintain high-volume data warehouse applications and support multiple ETL projects with minimal supervision.
- Perform performance tuning of data sources, targets, queries, and pipelines.
- Support system health monitoring, access and object management, repository backups, code migration, performance diagnosis, and Sev1 ticket coordination.
- Follow established standards, keep code synchronized across environments, and help improve team processes.
Requirements
- At least 1 year of Azure Databricks experience.
- At least 1 to 3 years of relevant experience is desired.
- Bachelor's or master's degree in Computer Science or a related quantitative discipline.
- Knowledge of Azure Databricks, ETL, SQL, Python, PySpark, SparkSQL, Azure Functions, Delta Lake, Azure Data Factory, and Azure DevOps CI/CD.
- Good-to-have knowledge of ADLS Gen2, Kafka stream processing, Spark Streaming, and Azure Event Hubs.
- Good-to-have exposure to Azure SQL, Microsoft SQL Server, Cosmos DB, MongoDB, stored procedures, views, and explain plans.
- Good-to-have knowledge of Cursor, Databricks Assistant, and Claude.
- Good-to-have hands-on experience with Informatica PowerCenter or Informatica Cloud, Data Quality, Control-M, PowerShell, or UNIX shell scripting.
- Strong knowledge of the software development life cycle, including requirements analysis, design, development, testing, and implementation.
- Strong technical, analytical, organizational, written, verbal, and stakeholder communication skills.
- Ability to identify critical system health issues, support incident resolution, work across teams, and adapt to changing priorities.
Benefits
- Competitive pay and benefits package through JLL's Total Rewards Program.
- Entrepreneurial, inclusive work environment with opportunities for learning and technical development.
- On-site position in Bengaluru, Karnataka, with a scheduled 40-hour work week.
Tech Stack
Categories
Data Engineering
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).