Stimulating. Motivating. Challenging.
Nagravision, a division of the Kudelski Group, is the world leader in the creation and delivery of state-of-the-art technologies to secure the revenues of content owners and service providers for digital television and interactive applications across all network types. Nagra's solutions enable consumers to access content seamlessly over any device through a compelling viewing experience.
Lieu : Phoenix, United States
Mission
Title: Cloud Data Engineer
Location: Phoenix, USA
Mission
As part of the Data Service team, based in our headquarter in Phoenix, you will manage, operate, and design different data platform supporting our services and reporting solutions. In your position, you will be in touch with a wide specter of technologies both on-premises and in the cloud. You will interact with multiple teams involved in the different parts of the Kudelski group business, and you will get the opportunity to express innovative thinking and design.
Responsabilités
- Operate and maintain data solutions and databases to meet security standards.
- Develop and manage database structures, data workflows, and analytical solutions for various projects across multiple domains.
- Collaborate with business partners to clearly scope projects, understand business contexts, and design appropriate data solutions.
- Lead and support data quality initiatives to ensure data is accurate, reliable, and actionable.
- Design and optimize data models to achieve business objectives.
- Ensure data resiliency and high availability across platforms.
- Oversee the development and deployment of data solutions, ensuring best practices are followed.
Exigences / profil
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
- 7–10 years of experience as a Database Administrator, Data Engineer, or Data Architect, with a strong focus on Data Warehousing (DW) and Business Intelligence (BI) technologies.
- Strong hands-on experience with Microsoft data technologies (Azure, on-premises SQL Server, SSIS, Fabric, Power BI).
- Working knowledge of AWS data stack (RDS, Aurora, Redshift, Athena) and/or Google Cloud Platform.
- Experience with data integration tools (e.g., NiFi, Kafka, Spark, Denodo) and data analysis/visualization tools (Power BI).
- Proficiency in Python for data engineering tasks.
- Solid understanding of data lifecycle management and maintenance processes.
- Knowledge of data management, metadata, and data quality concepts; familiarity with data governance best practices is a plus.
- Good understanding of data security and privacy requirements.
Profile
- Results-oriented individual with strong problem-solving and service-oriented skills, as well as sense of ownership
- Ability to focus on critical business issues and demonstrate flexibility to make progress in a dynamic environment with multiple priorities
- Strong communication skills (written, spoken)
What You'll Love Here:
- An innovative, fast-paced culture that empowers growth and success.
- Collaboration with industry-leading peers across commercial, government, and educational sectors.
- Creative problem-solving opportunities on cutting-edge projects.
- Competitive compensation and full benefits, including tuition reimbursement.
- Generous time off and flexibility for travel and work-life balance.
- A diverse and inclusive global team that values different perspectives and contributions.
Référence : 15503
Date de publication : 20-06-2025
