Data Engineer 2
Jones Lang LaSalle Incorporated2 months ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and implement complete ETL/ELT workflows using intermediate to advanced techniques.
- Build and modify CI/CD pipelines for data processing workflows.
- Develop native data ingestion capabilities from APIs, databases, and file systems.
- Implement data validation, error handling, and monitoring in production pipelines.
- Incorporate AI and automation patterns into scalable data engineering solutions.
- Apply intermediate Python skills, including decorators, generators, object-oriented programming, and design patterns.
- Build reusable components and frameworks for team use.
- Translate business requirements into technical data engineering solutions.
- Collaborate with product managers, analysts, senior engineers, and other cross-functional stakeholders.
- Participate in scrum/agile development processes and support strategic decision-making.
- Apply data modeling and data warehousing principles; design database schemas and data integration patterns.
- Work with cloud services and optimize data storage and retrieval for performance and cost.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or a related quantitative discipline.
- 2–5 years of experience in data engineering, data development, or a related technical field.
- Proven experience building ETL/data pipelines in production environments.
- Experience working with agile development methodologies and cross-functional teams.
- Intermediate Python skills, including decorators, generators, and object-oriented programming.
- Solid SQL proficiency, including query optimization and performance tuning.
- Experience with data orchestration platforms such as Airflow, Azure Data Factory, SSIS, or similar.
- Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks.
- Hands-on experience with Azure, AWS, or GCP data services.
- Experience or familiarity with data services and tools such as Databricks, Azure Functions, Delta Lake, and CubeJS or similar semantic-layer tools.
- Understanding of CI/CD for data pipelines, software design patterns, AI/automation tools, and their integration into data workflows.
- Ability to communicate with stakeholders, solve production data problems, and demonstrate scalability and business awareness.
Benefits
- Opportunities to work on enterprise-scale data engineering projects incorporating AI and automation.
- Opportunities to expand technical skills and gain experience with enterprise data solutions and cross-functional collaboration.
- JLL Total Rewards includes career development, recognition, well-being, benefits, and pay programs.
- On-site work arrangement in Bengaluru, Karnataka, with 40 scheduled hours per 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).