Hyatt Data Engineer in CHICAGO, Illinois
Hyatt Hotels Corporation is an international hotel operating company with $4.5B in annual revenue and more than 850 properties spanning more than 60 countries. We are guest obsessed and dedicated to improving clock speed and providing first class guest interactions. In order to achieve this mission, we aim to be a data fueled organization focused on improving and simplifying the experience of our guests, customers, owners and colleagues.
Hyatt seeks an experienced Data Engineer who will be an exceptional addition to our growing engineering team.The Data Engineer will work closely with engineering, product managers and data science teams to meet data requirements of various initiatives in Hyatt.
As a Data Engineer, you will take on big data challenges in an agile way. In this role, you will build data pipelines that enable engineers, analysts and other stakeholders across the organization. You will build data models to deliver insightful analytics while ensuring the highest standard in data integrity.You will integrate different data sources, improve the efficiency, reliability, and latency of our data system, help automate data pipelines, and improve our data model and overall architecture.
This candidate builds fantastic relationships across all levels of the organization and is recognized as a problem solver who looks to elevate the work of everyone around them.
Day-to-day, your role includes:
Work closely with product managers, data scientists, engineering, and program management teams on strategies for data
Work with high volumes of data to efficiently process and expose for analysis
Ensure timely availability of usable data to all parts of the business that need it
Use state of the art technologies to acquire, ingest and transform big datasets
Support operational reporting and self-service data engineering work and our business intelligence suite
Work on the back-end of our platform, focused on building data pipelines that power data discovery, self-serve analytics and drive data product innovation
Stay up-to-date with high-potential new technologies
The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.
2 years of experience within the field of data engineering or related technical work including business intelligence, analytics
Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners
Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business
Exposure to Amazon AWS or another cloud provider
Experience with Business Intelligence tools such as Tableau, PowerBI and/or Looker
Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
Passionate about programming and learning new technologies; focused on helping yourself and the team improve skills
Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
Rigorous attention to detail and accuracy
Aware of and motivated by driving business value
Experience with large scale enterprise applications using big data open-source solutions such as Hadoop, HBase, Spark, Kafka, and Elastic Search / Solr
Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata)
Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, a related quantitative field
Advance CS degree is a plus knowledge and experience
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary
Primary Location: US-IL-Chicago
Organization: Hyatt Corporate Office
Pay Basis: Yearly
Job Level: Full-time
Req ID: CHI010581
Hyatt is an equal employment opportunity and affirmative action employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, marital status, pregnancy, national origin, ancestry, age, religion, disability, veteran status, genetic information, citizenship status or any other group protected by law.