Data Engineer 2
Jones Lang LaSalle Incorporated2 months ago
Toronto, CanadaMid 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 data ingestion capabilities from APIs, databases, and file systems.
- Implement validation, error handling, and monitoring for production pipelines.
- Incorporate AI and automation patterns into data engineering solutions.
- Apply intermediate Python techniques, including decorators, generators, 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 stakeholders.
- Apply data modeling and data warehousing concepts, design database schemas, and develop data integration patterns.
- Use cloud services to create scalable data solutions and optimize storage and retrieval for performance and cost.
- Provide technical expertise for strategic decision-making and support scrum team deliverables.
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 or data pipelines in production environments.
- Experience working with cross-functional teams and agile development methodologies.
- 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 tools.
- Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks.
- Hands-on experience with Azure, AWS, or GCP data services, including tools such as Databricks, Azure Functions, or Delta Lake.
- Familiarity with semantic layer tools such as CubeJS or similar tools.
- Understanding of CI/CD for data pipelines, software design patterns, and AI or automation tools in data workflows.
- Ability to communicate with stakeholders, solve production pipeline problems, and demonstrate scalability and business awareness.
Benefits
- Total Rewards program covering career development, recognition, well-being, benefits, and pay.
- Opportunities to expand technical skills through enterprise-scale data engineering projects and cross-functional collaboration.
- On-site work arrangement in Toronto, Ontario.
- Eligible roles or employees may receive discretionary bonuses, benefits, or other compensation.
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).