Data Engineer 2

JLL is seeking a Data Engineer 2 to work in a diverse and fast-paced environment as part of our Enterprise Data team. The role involves designing and developing data solutions that are strategic to the business and built on the latest technologies and patterns.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s degree preferred)
• Minimum 3-5 years of experience in data engineering or full-stack development, with a focus on cloud-based environments
• Strong expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
• Strong Databricks experience
• Strong database/backend testing with the ability to write complex SQL queries for data validation and integrity
• Strong streaming and real-time API/service validation including automation
• Experience with automated web services (WSDL) and microservices (REST) using custom scripts and assertions for data validation and data-driven testing
• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Proficiency in object-oriented programming and software design patterns
• Experience working in DevOps model, including installing, configuring, and integrating automation scripts on continuous integration tools (CI/CD) and GitHub for real-time test suite execution and troubleshooting
• Experience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines
• Strong experience in designing and implementing data pipelines, ETL processes, and workflow automation
• Familiarity with data warehousing concepts, dimensional modeling, data governance best practices, and cloud-based data warehousing platforms (e.g., AWS Redshift, Google BigQuery, Snowflake)
• Familiarity with cutting-edge AI technologies and demonstrated ability to rapidly learn and adapt to emerging concepts and frameworks
• Strong problem-solving skills and ability to analyze complex data processing issues
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams
• Attention to detail and commitment to delivering high-quality, reliable data solutions
• Ability to adapt to evolving technologies and work effectively in a fast-paced, dynamic environment

Benefits

• Competitive salary
• Benefits package
• Opportunities for career growth and development
• Collaborative and dynamic work environment