Position: Data Engineer
Company: inVerita
Experience required: 1y
English level: upper

**Project:**
The client is a Blackstone portfolio company, is a real estate asset management business specializing in multi-family housing. Formed in 2013 and headquartered in Chicago, the company is currently responsible for a portfolio of over 300 Class A and B properties comprising more than 100,000 units in markets across the United States.
This business is focused on making real estate more valuable. Ultimately, this company creates great places to work, live, and grow. They do that by focusing on leaving people – and places – better than found them.
 
Whew! Still here? Cool. Let’s talk about where you’d fit in:
Does it bug you when the corners of a stack of paper don’t align? Are you one of those people who fill in all the columns of a spreadsheet, even when its fine being blank? Do you always put the word “useful” in front of the word “data”? If these apply to you, then we would love you to apply with us. We are looking for a Data Engineer who is just shy of obsessive when it comes to data quality and process.

**Qualifications:**
• 1+ years hands-on with Python or related programming language;
• 1+ years hands-on experience as a Data engineer;
• 1+ years hands-on technical experience with ETL Tools BI Reports and Dashboards
• Understanding of data Schema modeling (Dimensions, Measures, Slowly Changing Dimension);
• 1+ years with SQL or NoSQL databases and data warehousing technologies.
• Understanding of cloud-based architecture. (AWS/Azure/GCP);
• Experience with Snowflake/Azure Databricks/Azure Data Factory is a big plus;
• English level: Upper-Intermediate or higher.

**Responsibilities:**
• Deliver data warehouse and analytic solutions by ingesting, integrating, and curating data;
• Build analytical solutions and administers systems;
• Create and maintain optimal data pipeline architecture. Our data must be woven into the fabric of our business;
• Assemble large, complex data sets that meet functional and sometimes non-functional business requirements;
• Believe that the health of a business is directly relatable to good, clean data; just like the health of the body is relatable to clean air and water;
• Serve as a functional and content expert of the data warehouse to synthesize raw data into actionable information to be used in analytical solutions;
• Communicate with stakeholders on project process and alignment. Must be as comfortable in a boardroom as you are in a data war room;
• Develop integrated data solutions, modernizing, consolidating, and coordinating business needs across several applications;
• Performance Tuning and Optimization of all Data Ingestion and Data Integration processes, including the Data Platform and databases;
• Support Data Analyst and Business Stakeholder in analyzing and resolving any data issues as required;
• Make effective and decisive decisions when presented with multiple options for how to progress with any project.