Senior Data Engineer​/Architect - Databricks

** ABOUT GREYSTAR
** Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing. Headquartered in Charleston, South Carolina, Greystar manages and operates over $300 billion of real estate in more than 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, managing over 1,000,000 units/beds globally.

Across its platforms, Greystar has nearly $79 billion of assets under management, including over $35 billion of development assets and over $30 billion of regulatory assets under management. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit .
** JOB DESCRIPTION SUMMARY
** We are looking for a skilled Data Engineer to join our engineering team, focusing on leveraging Azure SQL, Cosmos DB & Data Bricks to meet our growing data demands. As a Sr. data engineer in the Apex organization, you will be part of the Scrum team, developing data capabilities powering customer-facing applications used by thousands of residents. You will play a critical role in supporting the data needs of the engineering team as you develop and optimize the backend for customer-facing real estate applications.
** JOB DESCRIPTION
**** What You Will Do
*** 100% hands-on development – Azure SQL, Cosmos DB, Data Bricks: develop and unit test database code, including but not limited to T-SQL, stored procedures, functions and views.
* Own/Maintain the Data Bricks data ingestion & output for our Microsoft Customer Insights CDP platform
* Create and maintain database structures.
* Participate in the design of databases, using first, second or third normalized form as needed to support business requirements.
* Create, deploy, and maintain ADF pipelines, adhering to Greystar’s standards and documented best practices.
* Monitor database performance, identify bottlenecks and implement improvements to ensure scalable and reliable database operations in a production environment.
* Perform analysis of complex data and document findings.
* Prepare data for prescriptive and predictive modeling.
* Combine raw data from different external sources and build and support complex ingestions
* Collaborate with application developers/data analysts who will be consuming the data.
* Play a direct role in the maintenance, technical support, documentation, and administration of databases.
* Ensure standards are followed by participating in code reviews
* You are a thought leader who will bring up new ideas or methods and deliver awesome code
** Technical Qualifications
*** 6+ years relevant and progressive data engineering experience
* Deep Technical knowledge and experience in Microsoft Azure architecture, including Azure PaaS databases, Synapse, ADF pipelines, Azure functions, Event Grids etc.
* 3+ Years of

Experience with Cosmos DB
* 3+ Years of

Experience with Data Bricks
* Hands-on skills working with data pipelines using SQL and No-SQL databases
* Minimum of 1 year of relevant experience working with Azure Data Lakes Gen 2.
* Experience with Power Platform / Power BI
* Experience in engineering practices such as code refactoring, design patterns, CI/CD, and highly scalable data applications
* Experience developing batch ETL pipelines; real-time pipelines are a plus
* Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing, structured and unstructured data
* Good

Experience with Python, machine learning frameworks and statistics.
* Experience / Familiarity with D365 Customer Insights platform / Dataverse is a plus### ###
** Technical Pre-screening test and technical interview will be required for all candidates
** Overall Qualifications
* Knowledge of Agile software development process
* Excellent problem-solving skills and experience
* Strong communication and collaboration skills* "Self-starter" attitude and the ability to make decisions…