Dein persönlicher KI-Karriere-Agent
Processing terabytes of advertising data and building ETL pipelines with Spark on AWS. 5+ years data engineering experience required. Retirement pension, insurance plan, and professional development.
Deine Match-Analyse
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Anforderungen
- 5+ years data engineering experience
- Proven track record leading complex data projects
- Exceptional communication skills
- Experience working in cross-functional teams
- Very strong hands-on AWS experience
- Proficiency with Apache Spark
- Strong Python experience for backend development
- Expert-level SQL for data processing and analytics
- Hands-on experience with Docker
- Hands-on experience with Terraform
- Hands-on experience with CI/CD pipelines
- Commitment to writing clean, maintainable code
- Comprehensive testing experience
- Deep knowledge of analytics/reporting requirements
- Experience designing scalable data architectures
- Data modeling experience
- Experience optimizing data processing workflows
- Experience creating analytics dashboards
- Experience managing analytics dashboards
- Experience with data visualization solutions
- Experience with contextual AI tools
- Experience with prompt engineering
- Willingness to learn and grow
Aufgaben
- Process and analyze terabytes of advertising data
- Build and maintain robust ETL pipelines using Spark and AWS
- Design scalable data processing systems
- Develop backend APIs and microservices in Python or Go
- Architect data flows for batch and real-time analytics
- Manage user-facing dashboards for complex data insights
- Implement monitoring and alerting systems for data quality
- Manage AWS infrastructure with Terraform
- Implement CI/CD best practices
- Maintain high coding standards
- Lead large-scale data projects from requirements to delivery
- Bridge technical implementation with business needs
- Mentor team members
- Present technical concepts to stakeholders
- Challenge requirements constructively
- Ensure high availability and accuracy of data solutions
- Champion clean code principles
- Support delivering the right data solutions
Berufserfahrung
Ausbildung
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Tools & Technologien
Benefits
- Retirement pension
- Insurance plan
- Women in Tech group
- Pride group
- Collaborative environment
- Vibrant and inclusive community
- Company culture promoting social aspects
- Professional and personal development plan
- Opportunity to work with senior leadership
- Inspiring and fast-growing company
- Digital sports environment
- Sports and physical exercise
- Fun company events
- Office sports tournaments
- Beer brewing competitions
- Innovative and cross-team challenges
- Company-paid public transport ticket
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Sportradar erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei SportradarÜber das Unternehmen
The company is a worldwide leader in sports data and audiovisual services for bookmakers, offering data-driven marketing services for betting operators.
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