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Data Engineering Lead
$120k-148k (estimate)
Full Time | Business Services
2 Weeks Ago
JLL is Hiring a Data Engineering Lead Near Chicago, IL
About JLL and JLL Technologies
JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities.
JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them.
What this job involves
JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL's data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe in providing solutions, developing new products, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey!
We are looking for a Lead Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.
As a Data Engineering Lead at JLL Technologies, you will:
Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements.
Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data.
Identify performance bottlenecks in the data pipelines, ETL processes, and queries, and propose and implement optimization strategies to improve overall system performance.
Define and implement data architecture best practices, ensuring the scalability, availability, and security of data infrastructure, including data lakes, data warehouses, and related components.
Collaborate with data scientists and analysts to design and implement data models that support complex analytical and reporting requirements.
Conduct data profiling, validation, and quality checks to ensure data integrity and consistency.
Unify, enrich, and analyze variety of data to derive insights and opportunities
Design and develop scalable, reliable, and efficient data pipelines, utilizing appropriate technologies and frameworks such as Apache Spark, Airflow, and cloud-based services (e.g., ADLS, AWS S3, Google Cloud Storage).
Optimize data extraction, transformation, and loading processes (ETL) to enable smooth and timely ingestion of large volumes of structured and unstructured data from various sources.
Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform
Establish and enforce data governance standards, policies, and procedures to ensure compliance with relevant regulations and maintain data security and privacy.
Develop and maintain documentation related to data flows, data dictionaries, data lineage, and data integration processes.
Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
Mentor other members in the team and organization and contribute to organizations' growth.
What we are looking for:
8 years' overall work experience and bachelor's degree in information science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.
Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity
Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application
Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
3 years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools
Independent and able to manage, prioritize & lead workload
What you can expect from us:
You'll join an entrepreneurial, inclusive culture. One where we succeed together - across the desk and around the globe. Where like-minded people work naturally together to achieve great things.
Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.
Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...
Apply today!
#LI
JLL Is an Equal Opportunity Employer JLL is committed to developing and maintaining a diverse workforce. JLL strongly believes in equal opportunity extended to all individuals in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, discipline, layoff, recall and termination without regard to race, color, religion, belief, creed, age, sex, pregnancy or maternity (including childbirth and related conditions), family responsibility (e.g. child care, elder care), nationality, ethnic or national origin or ancestry, citizenship, marital status, civil partner status, sexual orientation, gender identity or expression, transgender status, veteran’s status, genetic information, trade union membership, social position, political view or status as a qualified individual with a disability, protected leave status or any other protected characteristic in accordance with applicable law. The company also endeavors to make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodations would impose an undue hardship on the operation of our business and ensures that employment decisions are based only on valid job requirements.
JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities.
JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while enhancing the productivity and the happiness of those that occupy them.
What this job involves
JLL Technologies Enterprise Data team is a newly established central organization that oversees JLL's data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe in providing solutions, developing new products, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey!
We are looking for a Lead Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.
As a Data Engineering Lead at JLL Technologies, you will:
Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements.
Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data.
Identify performance bottlenecks in the data pipelines, ETL processes, and queries, and propose and implement optimization strategies to improve overall system performance.
Define and implement data architecture best practices, ensuring the scalability, availability, and security of data infrastructure, including data lakes, data warehouses, and related components.
Collaborate with data scientists and analysts to design and implement data models that support complex analytical and reporting requirements.
Conduct data profiling, validation, and quality checks to ensure data integrity and consistency.
Unify, enrich, and analyze variety of data to derive insights and opportunities
Design and develop scalable, reliable, and efficient data pipelines, utilizing appropriate technologies and frameworks such as Apache Spark, Airflow, and cloud-based services (e.g., ADLS, AWS S3, Google Cloud Storage).
Optimize data extraction, transformation, and loading processes (ETL) to enable smooth and timely ingestion of large volumes of structured and unstructured data from various sources.
Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform
Establish and enforce data governance standards, policies, and procedures to ensure compliance with relevant regulations and maintain data security and privacy.
Develop and maintain documentation related to data flows, data dictionaries, data lineage, and data integration processes.
Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
Mentor other members in the team and organization and contribute to organizations' growth.
What we are looking for:
8 years' overall work experience and bachelor's degree in information science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.
Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity
Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application
Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
3 years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools
Independent and able to manage, prioritize & lead workload
What you can expect from us:
You'll join an entrepreneurial, inclusive culture. One where we succeed together - across the desk and around the globe. Where like-minded people work naturally together to achieve great things.
Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.
Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...
Apply today!
#LI
JLL Is an Equal Opportunity Employer JLL is committed to developing and maintaining a diverse workforce. JLL strongly believes in equal opportunity extended to all individuals in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, discipline, layoff, recall and termination without regard to race, color, religion, belief, creed, age, sex, pregnancy or maternity (including childbirth and related conditions), family responsibility (e.g. child care, elder care), nationality, ethnic or national origin or ancestry, citizenship, marital status, civil partner status, sexual orientation, gender identity or expression, transgender status, veteran’s status, genetic information, trade union membership, social position, political view or status as a qualified individual with a disability, protected leave status or any other protected characteristic in accordance with applicable law. The company also endeavors to make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodations would impose an undue hardship on the operation of our business and ensures that employment decisions are based only on valid job requirements.
Job Summary
JOB TYPE
Full Time
INDUSTRY
Business Services
SALARY
$120k-148k (estimate)
POST DATE
06/06/2024
EXPIRATION DATE
08/05/2024
WEBSITE
us.jll.com
HEADQUARTERS
SAINT LOUIS, MO
SIZE
>50,000
FOUNDED
1997
CEO
JAMIE L LIPPERT
REVENUE
$10B - $50B
INDUSTRY
Business Services
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The job skills required for Data Engineering Lead include Python, Data Engineering, AWS, Big Data, Data Warehouse, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineering Lead. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineering Lead. Select any job title you are interested in and start to search job requirements.
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The following is the career advancement route for Data Engineering Lead positions, which can be used as a reference in future career path planning. As a Data Engineering Lead, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineering Lead. You can explore the career advancement for a Data Engineering Lead below and select your interested title to get hiring information.
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