Summary:
The Opportunity

Hyatt seeks an experienced Senior Data Engineer who will be an exceptional addition to our growing engineering team. The Senior Data Engineer will work closely with engineering, product managers, and data science teams to meet the data requirements of various initiatives in Hyatt.

As a Senior 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 of 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. You will be leading multiple data projects with planned and coordinated execution and on-time delivery of quality products.

You will be part of a highly visible, collaborative, and passionate data engineering team and will be working on all the aspects of design, development, and implementation of scalable and reliable data products and pipelines.

Applying the latest techniques and approaches across the domains of data engineering, and machine learning engineering isn't just a nice to have, it's a must.

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.

The Role
• Collaborate with product managers, data scientists, engineering, and program management teams to define product features, business deliverables, and strategies for data products
• Collaborate with business partners, operations, senior management, etc on day-to-day operational support
• Support operational reporting, self-service data engineering efforts, production data pipelines, and business intelligence suite
• Interface with multiple diverse stakeholders and gather/understand business requirements, assess feasibility and impact, and deliver on time with high quality
• Design appropriate solutions and recommend alternative approaches when necessary
• Research, prototype, and recommend emerging tools and technologies across cloud data engineering and Generative AI
• Enable current Generative AI initiatives through the development of pipelines that process unstructured data, transform text, integrate models, and validate generated outputs
• Work with high volumes of data, fine-tuning database queries and able to solve complex technical problems
• Contribute to multiple projects/demands simultaneously
• Work in a fast-paced, collaborative, and iterative environment
• Exercise independent judgment in methods and techniques for obtaining results
• Work in an agile/scrum environment
• Use state-of-the-art technologies to acquire, ingest and transform big datasets
• The ideal candidate demonstrates a commitment to Hyatt's core values: respect, integrity, humility, empathy, creativity, and fun.

Qualifications:
Qualifications
• 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics
• Experience and comfortable 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
• Very good understanding of the full software development life cycle
• Very good understanding of Data warehousing concepts and approaches
• Experience in building Data pipelines and ETL approaches
• Experience in building high-volume data workflows in a cloud environment
• Experience in building Data warehouses and Business intelligence projects
• Experience in data cleansing, data validation, and data wrangling
• Hands-on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis , Lake Formation, S3, DynamoDB, Step Functions, Athena
• Hands-on API development experience using AWS API Gateway, CloudWatch, Cognito, ECS, EKS, Fargate.
• Experience with Business Intelligence tools like Tableau, Cognos, ThoughtSpot
• Experience with relational databases like Oracle, Snowflake, including advanced SQL, Tasks/Streams, stored procedures, and performance tuning.
• Hands-on experience with Snowflake Cortex AI, AI SQL functions or an equivalent production LLM platform.
• Proficient in SQL, PL/SQL, NoSQL, relational databases (RDBMS), database concepts, and dimensional modeling
• Hands-on experience building complex business logic and data ingestion and transformation (ETL/ELT) workflows using Informatica IICS or similar tools, AWS pipelines, Snowpipe, Streaming solutions, Kafka and other industry standard tools and processes is preferred.
• Hands-on experience with Python/shell scripting and SQL for building scalable data pipelines.
• Experience with CI/CD tools such as GitHub Actions and/or Jenkins, and infrastructure as code with Terraform and/or CloudFormation
• Experience implementing LLM observability with Arize or a comparable platform is a plus.
• Strong verbal and written communication skills
• Demonstrate integrity and maturity, and a constructive approach to challenges
• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments
• Open-minded, solution-oriented and a very good team player
• Passionate about programming and learning new technologies; focused on helping yourself and the team to 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

Experience Preferred:
• Bachelor's degree in engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or a related quantitative field

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.

We welcome you:

Research shows that individuals tend to apply to jobs, only if they meet all the listed job qualifications. Unsure if you check every box, but feeling inspired to enhance your career? Apply. We'd love to consider your unique experiences and how you could make Hyatt even better.

We value our relationships with recruitment partners and require that agencies contact us first before submitting any candidates. Hyatt will not be responsible for any fees and obligations associated with unsolicited submissions unless a formal agreement is in place.

Thesalaryrangeforthispositionis$135,000 -170,000.Thispositionisalsoeligibletoearnanannualbonus.

Thefinalpayrate/salaryofferedtothesuccessfulcandidatewilldependonexperience,skilllevelandotherqualificationsfortherole,aswellasthelocationoftheperformanceofwork.Payforthesuccessfulcandidatewillmeetlocalrequirements,includingthelocalminimumwagerate.