Data Engineer 2

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About JLL Technologies (JLLT):

JLL Technologies is a specialized group within JLL that delivers unparalleled digital advisory implementation and services solutions to organizations globally

We provide best-in-class technologies to bring digital ambitions to life by aligning technology people and processes

Our goal is to leverage technology to increase the value and liquidity of the worlds buildings while enhancing the productivity and happiness of those who occupy them

What the Job Involves:

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 Capital Markets Data Engineering 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

Responsibilities:

Technical Development

• Design and implement robust scalable data pipelines using Databricks Apache Spark and Delta Lake as well as BigQuery
• 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
• Document data infrastructure data pipelines and ETL processes ensuring knowledge transfer and smooth handovers
• Create automated tests and integrate them into testing frameworks

Platform Engineering

• Configure and optimize Databricks workspaces clusters and job scheduling
• Work in a Multi-cloud environment including Azure GCP and AWS
• Implement security best practices including access controls encryption and audit logging
• Build integrations with market data vendors trading systems and risk management platforms
• Establish monitoring and performance tuning for data pipeline health and efficiency

Collaboration & Mentorship

• Collaborate with cross-functional teams to understand data requirements identify potential data sources and define data ingestion
• Collaborate with data scientists analysts and other stakeholders to understand data requirements and deliver data solutions that meet their needs

Requirements:

Education & Experience:

• 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

Technical Skills:

• 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 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. Google BigQuery Snowflake)
• Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP)
• Experience working in DevOps model
• Experience with Unit Functional Integration User Acceptance System and Security testing of data pipelines

Core Competencies:

• 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

Location:

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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Jones Lang LaSalle (JLL) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process including the online application and/or overall selection process you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.