Senior Data Engineer

THE CHALLENGE

• Design build and implement generalized large-scale sophisticated data pipelines using Nifi for downstream analytics and data science for our Sport Performance products.
• Design and develop scalable Nifi ingestion pipelines within AWS cloud services to consume real-time and batch data from external sources. Ensure the seamless integration of AWS-based tools for data storage processing and analytics.
• Responsible for ETL development and warehousing using Python and Java. Create data pipeline triggers and filters within ETL (extract transform and load) process to ensure appropriate optimization of data flowing through system and resource usage. Implement monitoring and error handling for all new parts of the data pipeline to ensure observability and alerting is available.
• Establish rigorous unit testing across the data pipeline to ensure robustness of the system.
• Design and create data models for use throughout the ETL system.
• Utilize Kafka to efficiently and to effectively store data to move throughout the data pipeline and for downstream data science and analytics usage.
• Design data architecture and data models for both internal and external representations of data.
• Build the data transforms within the data pipeline to convert data from external to internal representations.
• Conduct data analytics and debugging of bad data by writing SQL queries.
• Build automated cleaning of data to remove bad or unusable data from downstream consumers with logging to understand the frequency and depth of the underlying issues.
• Collaborate with other engineering teams to adopt standard methodologies drive scalability and increase consistency across systems.
• Maintain awareness of company standards and technology guidance; use JIRA an Agile project mgmt. tool to ensure efficient data development; collaborate with peers to align projects with overall direction.
• Follow best practices across Data Engineering to ensure scalable consistent data architecture and system. Utilize Java language to build data processor in Nifi framework.
• Utilize Docker to ensure consistent repeatable and isolated environment for software development and testing.
• Work in a self-driven independent fashion to meet Sport driven deadlines. 

ABOUT YOU:

• Masters degree in Computer Science Computer Engineering or closely related field and 1 year experience as a data engineer or related occupation.

Must possess 1 year of experience with:

• Python Java Kafka AWS and Docker
• ETL Development and Warehousing
• Analytic and debugging using SQL
• Agile development environment
• Designing data architecture

OUR OFFER
 

• A collaborative environment with colleagues from all over the world (Offices in Europe Asia and US) including various social events and teambuilding.
• Flexibility to manage your workday and tasks with autonomy.
• A balance of structure and autonomy to tackle your daily tasks.
• Vibrant and inclusive community including Women in Tech and Pride groups which welcome all participants.
• Global Employee Assistance Programme.
• Calm and Reulay app (leading well-being apps designed to support focus quality rest mindfulness and long-term mental resilience).
• Online training videos.
• Flexible working hours.

Additional Information :

Sportradar intends to offer the selected candidate base pay within this range dependent on job-related non-discriminatory factors including but not limited to experience qualifications and location. Base pay is just one component of the Total Rewards that Sportradar provides to compensate and recognize employees for their work. Sportradar offers best-in-class benefits such as a comprehensive benefits package performance bonus program equity stock purchase and 401k contribution. Please consult with your recruiter to learn more as all benefits are subject to eligibility requirements.

At Sportradar we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs facilities and employment opportunities. All qualified applicants will receive consideration for employment without regard to age race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) we believe skills evolve over time. If youre willing to learn and grow with us we invite you to join our team!

Remote Work :

No

Employment Type :

Full-time