Hyatt
Hyatt
Hyatt एक वैश्विक आतिथ्य कंपनी है, जिसके पोर्टफोलियो में यात्रा और आवास के विभिन्न क्षेत्रों में होटल, रिसॉर्ट और अवकाश संपत्तियाँ शामिल हैं। इसका कार्य मेहमानों के लिए लगातार उच्च गुणवत्ता वाले ठहरने के अनुभव तैयार करने पर केंद्रित है, जिसमें लग्ज़री अनुभवों से लेकर अधिक सुलभ आवास विकल्पों तक सब शामिल हैं। आतिथ्य क्षेत्र में अपने संचालन के हिस्से के रूप में Hyatt स्थिरता और सामुदायिक सहभागिता पर भी ज़ोर देता है। बड़ी अंतरराष्ट्रीय कार्यबल वाली यह कंपनी होटल संचालन, यात्रा, अतिथि अनुभव और संबंधित व्यावसायिक कार्यों में रुचि रखने वाले पेशेवरों के लिए अवसर प्रदान करती है।

Senior Data Engineer - Hyatt (Remote, Illinois)

Build scalable data pipelines and platforms that support Hyatt’s reporting, analytics, and AI initiatives. Lead enterprise data engineering projects across cloud platforms and complex datasets.

विवरण

  • Create, enhance, and maintain scalable data products, platforms, and pipelines
  • Support operational reporting, business intelligence, self-service analytics, and advanced AI use cases
  • Collaborate with product managers, data scientists, machine learning teams, business stewards, engineers, and program managers
  • Provide daily operational support and troubleshoot data issues
  • Translate business needs into feasible, high-quality solutions delivered on schedule
  • Develop data architectures that are scalable, secure, and sustainable
  • Process high-volume datasets, tune database queries, and solve complex technical challenges
  • Acquire, ingest, transform, and integrate large, complex data sources
  • Contribute to Agile/Scrum planning, estimation, refinement, delivery, and continuous improvement
  • Strengthen data quality, reliability, scalability, observability, security, and operational excellence
  • Coach engineers and help shape engineering standards, best practices, and architectural decisions

आवश्यकताएँ

  • Five to eight or more years of experience in data engineering or related technical disciplines, including business intelligence and analytics
  • Demonstrated ability to design and implement robust, scalable data pipelines
  • Strong knowledge of the complete software development life cycle
  • Solid understanding of data warehousing principles and methodologies
  • Practical experience developing data pipelines and ETL processes
  • Background delivering data warehouse and business intelligence initiatives
  • Hands-on experience with AWS cloud services and native technologies including Glue, Lambda, Kinesis, Lake Formation, S3, and Redshift
  • Experience with Spark EMR, RDS, EC2, Athena, APIs, CloudWatch, and CloudTrail is advantageous
  • Experience with Tableau, Power BI, and ThoughtSpot
  • Practical experience creating complex business logic and ETL workflows with Informatica IICS and Alteryx
  • Experience programming in Python or Unix scripting
  • Proficiency in SQL, PL/SQL, Snowflake, relational databases, database fundamentals, and dimensional modeling
  • Extensive experience with Snowflake native pipelines, Snowflake Native Apps including Streamlit, and Python-based Container Services
  • Experience applying AI technologies, including Snowflake Cortex AI capabilities
  • Knowledge of application and backend API development with Python, Java, Go, or TypeScript/JavaScript
  • Excellent written and verbal communication skills
  • Strong analytical and problem-solving abilities in data warehouse and big data environments
  • Ability to coordinate multiple projects and reporting responsibilities across varied stakeholders
  • Consistent attention to detail and accuracy across data, processes, and requirements

लाभ

  • Annual allocation of complimentary stays at Hyatt hotels worldwide
  • Flexible working hours
  • Work-life support and wellbeing programs, including a complimentary Headspace subscription
  • Discounted access to the on-site fitness center
  • Global family assistance policy with paid leave after a child’s birth or adoption
  • Financial support for adoption
  • Paid time off
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan with company matching

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