Senior Data Engineer

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. The role involves building data pipelines, designing and developing scalable and reliable data products and pipelines, and collaborating with diverse stakeholders.

What You Will Do

The Senior Data Engineer will take on big data challenges in an agile way, build data pipelines, integrate different data sources, improve data system efficiency, reliability, and latency, and help automate data pipelines.

Why It Might Be a Fit

The ideal candidate is a problem solver who looks to elevate the work of everyone around them, has a commitment to Hyatt's core values, and is passionate about programming and learning new technologies.

Requirements

• 8+ years of experience within the field of data engineering or related technical work
• Experience designing and building scalable and robust data pipelines
• Very good understanding of the full software development life cycle
• Experience with 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
• 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
• Experience with CI/CD tools like 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

Benefits

• Annual allotment of free hotel stays at Hyatt hotels globally
• Flexible work schedule
• Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on-site fitness center
• A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption
• Paid Time Off, Medical, Dental, Vision, 401K with company match