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Senior Data Engineer

Location Bengaluru, India
Posted 18-March-2021
Description
JLL Technologies Enterprise Data team is a newly established central organization that oversees JLLs 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 Staff 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.


About the role


JLL Technologies Enterprise Data team is a newly established central organization that oversees JLLs 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 Senior 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.


Responsibilities

Contributes to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture
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
Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc


Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate


Sounds like you? To apply you need to be:


Experience & Education

Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.

Minimum of 5 years of experience as a data developer using Python, PySpark, Spark Sql, ETL knowledge, SQL Server, ETL Concepts

Experience in Azure Cloud Platform, Databricks

Experience in Azure Storage

Excellent technical, analytical and organizational skills.

Effective written and verbal communication skills, including technical writing.


Technical Skills & Competencies

Excellent technical, analytical and organizational skills.
Effective written and verbal communication skills, including technical writing.
Hands-on engineering lead 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
Hands-on Experience for building Data Pipelines in Cloud.

Experience in working with databases especially SQL server databases.
Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities.
Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues
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

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realise your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains. We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. Its no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 Worlds Most Ethical Companies for the 12th consecutive year.


Apply today!

Required Skills:

Data Pipelines, Design, Enterprise Data, Relational Database Management System (RDBMS) Optional Skills:
Experience
Min 5 to 8 Years.

 
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