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  • Emplois similaires à : Senior Data Engineer
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Senior Data EngineerCinemark • Plano, Texas, United States
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Senior Data Engineer

Cinemark
  • US
    Plano, Texas, United States
  • US
    Plano, Texas, United States
Postuler Maintenant

À propos

Join Our Team As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.
Role Summary We are seeking a highly skilled Senior Data Engineer to design, build, and optimize enterprise‑scale data platforms. This role is a key technical contributor responsible for architecting modern, scalable data solutions within the Microsoft Azure and Microsoft Fabric ecosystems.
The ideal candidate brings deep expertise in data architecture, distributed data processing, and advanced ETL/ELT engineering, and thrives in a fast‑paced environment delivering high‑performance, business‑critical data solutions.
Key Responsibilities
Architect and deliver enterprise‑grade data pipelines using Azure technologies such as Azure Data Factory, Synapse Analytics, ADLS, and Microsoft Fabric
Design and implement end‑to‑end data solutions, including ingestion, transformation, and serving layers across medallion architectures
Develop and optimize scalable ELT/ETL pipelines using T‑SQL, Python, and PySpark for both batch and real‑time data processing
Enable low‑latency, parallel data processing to support timely analytics and reporting needs
Manage and process high‑volume transactional data from multiple source systems, ensuring accuracy, quality, and consistency
Design and maintain Data Vault 2.0 models (Hubs, Links, Satellites) and multi‑layer data architecture (raw, business, reporting layers)
Build scalable data platforms supporting advanced analytics, distributed compute, and unified data environments
Collaborate cross‑functionally with data architects, analysts, and business stakeholders to deliver effective data solutions
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
5+ years of experience in data engineering, delivering enterprise‑scale data solutions
Proven ability to work independently on complex technical solutions with minimal supervision
Strong collaboration and communication skills in cross‑functional environments
Microsoft Azure certifications (or equivalent cloud certifications) are preferred
Preferred Skills
Expertise in Microsoft Azure data services and Microsoft Fabric ecosystem
Strong knowledge of data modeling techniques, including Data Vault 2.0 and medallion architecture
Advanced programming skills in T‑SQL, Python, and PySpark
Experience with distributed data processing and big data platforms
Strong analytical mindset focused on building scalable, resilient, and high‑performance systems
Ability to manage competing priorities in a fast‑paced environment while ensuring data quality and integrity
Excellent communication and documentation skills to translate technical solutions for business stakeholders
Why Join Us
Opportunity to work on next‑generation data platforms leveraging Azure and Microsoft Fabric
Exposure to large‑scale, high‑impact data initiatives driving business value
Collaborative environment with strong alignment to analytics, data science, and business teams
Benefits Available At Cinemark, we believe every team member should feel like a hero. Each career comes with a variety of blockbuster benefits for both hourly and salaried team members.
Employee Discount
401(k) Matching*
Growth Opportunities
Education Assistance*
Health Benefits*
Parental Leave*
Paid Time Off*
Daily Pay*
Free Movies*
*Benefits may vary by career category, so be sure to check the specific details on our career site.
Equal Employment Opportunity Cinemark is an Equal Opportunity Employer
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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  • Plano, Texas, United States

Compétences linguistiques

  • English
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