Hyatt seeks an experienced Senior Data Engineer to 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, building data pipelines, data models, and integrating different data sources to deliver insightful analytics while ensuring the highest standard of data integrity.
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 to enable data-driven decisions for the business
- Very good understanding of the full software development life cycle
- 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
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
