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Hyatt
Hyatt
H1B vizasi homiysiChakana savdoOziq-ovqat va ichimliklarSayohat
Hyatt — sayohat va turar joy xizmatlarining turli segmentlaridagi mehmonxonalar, kurortlar va dam olish maskanlarini o‘z ichiga olgan portfelga ega global mehmondo‘stlik kompaniyasi. Kompaniya faoliyati hashamatli tajribalardan tortib, yanada qulay turar joy variantlarigacha bo‘lgan izchil va yuqori sifatli mehmonlik xizmatlarini yaratishga qaratilgan. Hyatt mehmondo‘stlik sohasida faoliyat yuritish yondashuvining bir qismi sifatida barqarorlik va jamoatchilik bilan hamkorlikka ham e’tibor beradi. Keng xalqaro jamoaga ega kompaniya mehmonxona operatsiyalari, sayohat, mehmonlar tajribasi va tegishli biznes funksiyalariga qiziqadigan mutaxassislarga imkoniyatlar taqdim etadi.
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Kompaniyadagi ish o‘rinlari

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.

USAmerika Qo‘shma ShtatlariILIllinoys
133 200 $ – 173 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
Amazon RedshiftAWSBulutEC2ETLGoInformaticaJavaJavaScriptPythonSDLCSparkSQLTableauTypeScriptUnix

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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