Data Engineer

When you join Hines, you will work alongside innovative leaders who set the standards responsible for our reputation as an industry leader today, and you’ll be a part of shaping our future in the years to come.

Responsibilities

As an ETL Developer/ Data Engineer with Hines, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing existing data systems and building them from the ground up.

Responsibilities include, but are not limited to:

• Maintain and provide enhancements to data architecture within new/existing systems including Data Warehouse.
• Recommend and implement process to improve data quality, data reliability, and database performance.
• Employ variety of ETL and integration tools for system and data integrations.
• Architect solutions that supports data scientist and business stakeholders.
• Conduct ETL testing and data transformation testing.
• Develop data models for data science team that can be utilized for data mining.
• Maintain source to target documentation and process flow documentation.
• Take on DBMS responsibilities and wear multiple hats such as: ETL’s, serve as SQL Server DBA – Processes/Job/Error Handling/Troubleshooting/Scheduling, etc.

Qualifications

Minimum Requirements include:

• Bachelor’s degree in Computer Science or Information Technology from an accredited institution.
• Two or more years of Data Warehouse testing.
• Five or more years of ETL Tools: SSIS experience.

  Familiarity with Python.

• Three or more years of Data Testing experience.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  Four or more years of SQL experience. 

• Relevant hands-on work experience in a Datawarehouse testing role.
• ETL (Extract Transform Load)/ODS (Operational Data Store) experience.
• Commercial Real Estate experience preferred.
• Proficient in MS SQL Server database including setting indexes, database security, and backups
• Working knowledge of Azure.
• Fundamental knowledge of data warehouse concepts.
• Experience in Data Quality, Source Systems Analysis, and Business Rules Validation.
• Ability to write and understand Source to Target documentation.
• Detail oriented and Meticulous approach to duties.
• Keep our data separated and secure.

  Familiarity with data and cybersecurity.

• Good analytical skills.
• A knack for independent and group work.
• Capacity to successfully manage a pipeline of duties with minimal supervision.

Closing

Hines is a privately owned global real estate investment firm founded in 1957 with a presence in 240 cities in 27 countries.

Hines oversees a portfolio of assets under management valued at approximately $160.9 billion¹, including $81.7 billion in assets under management for which Hines serves as investment manager, and $79.2 billion representing more than 172.9 million square feet of assets for which Hines provides third-party property level services.

Historically, Hines has developed, redeveloped or acquired approximately 1,450 properties, totaling over 485 million square feet.

The firm has more than 180 developments currently underway around the world.

With extensive experience in investments across the risk spectrum and all property types, and a pioneering commitment to ESG, Hines is one of the largest and most-respected real estate organizations in the world.

We are an equal opportunity employer and support workforce diversity.

No calls or emails from third parties at this time please.