Senior Data Engineer

Hyatt seeks an experienced Senior Data Engineer to join its growing engineering team, working closely with engineering, product managers, and data science teams to meet data requirements. This role involves building data pipelines, data models, and improving the efficiency, reliability, and latency of the data system. The Senior Data Engineer will lead multiple data projects with planned execution and on-time delivery.

What You Will Do

Collaborate with product managers, data scientists, and engineering teams to define product features and strategies for data products. Support operational reporting, self-service data engineering, production data pipelines, and business intelligence. Design solutions, research emerging tools, and enable Generative AI initiatives through pipeline development. Work with high volumes of data, fine-tune queries, and contribute to multiple projects simultaneously.

Why It Might Be a Fit

This role requires 8+ years of data engineering experience, hands-on expertise with AWS and Snowflake, and proficiency in SQL and Python. The ideal candidate thrives in a fast-paced, ambiguous environment and is passionate about learning new technologies. Hyatt offers a culture of care, flexible work schedule, and benefits including free hotel stays, wellbeing initiatives, and paid time off.

Requirements

• 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics
• Experience designing and building scalable and robust data pipelines
• 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
• Strong verbal and written communication skills
• Demonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environments
• 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
• Complimentary Headspace subscription
• Discount at the on-site fitness center
• Global family assistance policy with paid time off following the birth or adoption of a child
• Financial assistance for adoption
• Paid Time Off
• Medical insurance
• Dental insurance
• Vision insurance
• 401K with company match
• Annual bonus