Data Engineer2

JLL supports the Whole You, personally and professionally.
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 Data Engineer 2 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
JLLTechAmbitions
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
Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development
Unify, enrich, and analyze variety of data to derive insights and opportunities.
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
Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org

**Responsibilities**:
Develops and maintains scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity.
Collaborates with business teams
Implements processes and systems ensure production data is always accurate and available for key stakeholders and business processes that depend on it.
Writes unit/integration tests, contributes to Data integrity, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers
Contributing towards creating reusable code which can be used across Systems
Support ongoing Production jobs as and when required
Experience & Education
Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
1-5 years of experience as a data developer using Azure Synapse Analytics, Azure Function App, Azure Databricks, Python, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search,, Kafka, Spark Streaming, etc.
Excellent technical, analytical, and organizational skills.
Effective written and verbal communication skills, including technical writing.
Relative Experience for building Data Pipelines in Cloud.
Experience in working with Relational Database or Conceptual knowledge on RDBMS.
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
Technical Skills & Competencies
Experience handling un-structured, semi-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues
Hands on Experience /Conceptual Knowledge in Azure Synapse Analytics, Azure Function App, Azure Databricks, Python, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search
Understanding on json, Parquet and Other file format and work effectively with them
No Sql Databases Knowledge like HBase, Mongo, Cosmos etc.
Preferred Cloud Experience on Azure(preferred) or AWS
Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple tasks simultaneously within a fast-paced environment
What we can do for you
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.
Personalized benefits that support persona