Data Engineer 2
Jones Lang LaSalle Incorporated3 months ago
Toronto, CanadaMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark.
- Collaborate with cross-functional teams to define data requirements, identify data sources, and design data ingestion architecture.
- Build data pipeline frameworks that move data to data lakes, data warehouses, and analytical platforms.
- Troubleshoot data processing, data quality, and data pipeline performance issues.
- Collaborate with data scientists, analysts, and stakeholders to deliver data solutions.
- Document data infrastructure, pipelines, and ETL processes.
- Create complex automated tests and integrate them into testing frameworks.
- Design and implement data pipelines, ETL processes, workflow automation, and data validation solutions.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or a related field; a master's degree is preferred.
- Minimum 3–5 years of experience in data engineering or full-stack development, focused on cloud-based environments.
- Strong expertise in Python, SQL, PySpark, and Spark, with experience on large-scale data projects.
- Strong Databricks experience and strong database/backend testing skills, including complex SQL queries for data validation and integrity.
- Experience with streaming and real-time API/service validation, automated web services using WSDL, and REST microservices.
- Experience with AWS, Microsoft Azure, or Google Cloud Platform.
- Proficiency in object-oriented programming and software design patterns.
- Experience with DevOps models, continuous integration tools, CI/CD, GitHub, and automation script integration.
- Experience with unit, functional, integration, user acceptance, system, and security testing of data pipelines.
- Familiarity with data warehousing, dimensional modeling, data governance, and cloud data warehouses such as Amazon Redshift, Google BigQuery, and Snowflake.
- Familiarity with AI technologies and the ability to learn emerging concepts and frameworks.
- Strong problem-solving, communication, collaboration, attention to detail, adaptability, and commitment to reliable data solutions.
Benefits
- Estimated base salary of CAD 90,000–100,000 per year.
- Some roles and employees may be eligible for discretionary bonuses, benefits, or other compensation.
- On-site work in Toronto, Ontario.
- Global role with collaboration across country, regional, and global teams.
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).