Data Engineer 2

JLL empowers you to shape a brighter way.

Our people at JLL are shaping the future of real estate for a better world by combining world class services advisory and technology for our clients. We are committed to hiring the best most talented peopleand empowering them tothrive grow meaningful careers and to find a place where they belong. Whether youve got deep experience in commercial real estate skilled trades or technology or youre looking to apply your relevant experience to a new industry join our team as we help shape a brighter way forward.

We are seeking a Data Engineer P2 who is a self-starter to work in a diverse and fast-paced environment as part of our Enterprise Data team

This individual contributor role is responsible for designing and developing data solutions that are strategic to the business and built on the latest technologies and patterns

This is a global role that requires partnering with the broader JLLT team at the country regional and global levels by utilizing in-depth knowledge of data infrastructure technologies and data engineering experience

Design develop and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark

Collaborate with cross-functional teams to understand data requirements identify potential data sources and define data ingestion architecture

Design and implement efficient data pipeline frameworks ensuring the smooth flow of data from various sources to data lakes data warehouses and analytical platforms

Troubleshoot and resolve issues related to data processing data quality and data pipeline performance

Stay updated with emerging technologies tools and best practices in cloud data engineering SQL and PySpark

Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver data solutions that meet their needs

Document data infrastructure data pipelines and ETL processes ensuring knowledge transfer and smooth handovers

Create complex automated tests and integrate them into testing frameworks

Bachelors degree in Computer Science Data Engineering or a related field (Masters 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

This range represents the estimated base salary and actual compensation may differ. Final base salary is determined by various considerations including but not limited to candidate qualifications location market conditions and internal considerations. Some roles and employees may be eligible for discretionary bonuses benefits or other compensation.

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If this job description resonates with you we encourage you to apply even if you dont meet all of the requirements. Were interested in getting to know you and what you bring to the table!

At JLL we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities we analyze your application for relevant skills experiences and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role yourepursuing.

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