Senior Data Engineer

🔥 2 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $133.2k - $173k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Hyatt

WebsiteLinkedInAll Job Openings

10,000+ employees

🍽️ Food & Beverage

✈️ Travel

🛒 Retail

Food & Beverage • Travel • Retail

Hyatt is a global hospitality company that operates a range of hotels, resorts, and vacation properties. Known for its commitment to providing exceptional guest experiences, Hyatt offers various accommodation options, from luxury to more affordable stays. The company also focuses on sustainability and community engagement, ensuring responsible business practices in the hospitality sector.

📋 Description

• Design, develop, and support scalable data products, platforms, and pipelines • Enable operational reporting, business intelligence, self-service analytics, and advanced AI capabilities • Partner with product managers, data scientists, machine-learning teams, business stewards, engineering teams, and program management • Provide day-to-day operational support and resolve data-related issues • Gather business requirements, assess feasibility and impact, and deliver high-quality solutions on schedule • Design scalable, secure, and sustainable data solutions • Work with high-volume datasets, optimize database queries, and resolve complex technical problems • Acquire, ingest, transform, and integrate large and complex datasets • Participate in Agile/Scrum planning, estimation, refinement, delivery, and continuous improvement • Promote data quality, reliability, scalability, observability, security, and operational excellence • Mentor engineers and contribute to engineering standards, best practices, and architectural decisions

🎯 Requirements

• 5 to 8+ years of experience within data engineering or related technical work including business intelligence and 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 building data pipelines and ETL approaches • Experience building data warehouse and business intelligence projects • Hands-on experience with AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, and Redshift • Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, and CloudTrail is a plus • Experience with Tableau, Power BI, and ThoughtSpot • Hands-on experience building complex business logic and ETL workflows using Informatica IICS and Alteryx • Experience in Python or Unix Scripting • Proficient in SQL, PL/SQL, Snowflake, relational databases, database concepts, and dimensional modeling • Strong experience using Snowflake native pipelines, Snowflake native app including Streamlit, and Python-based Container Services • Experience using AI, including Snowflake Cortex AI capabilities • Knowledge of application and backend API development using Python, Java, Go, or TypeScript/JavaScript • Strong verbal and written communication skills • Analytical and problem-solving skills applicable to Data Warehouse and Big Data environments • Ability to manage multiple projects and report simultaneously across different stakeholders • Rigorous attention to detail and data, process, and requirements 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 • 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 • Dental • Vision • 401K with company match