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Full-time
postgraduate degree
Collaborative Environment, Social Events, Teambuilding, Flexible Working Hours, Global Employee Assistance Programme, Calm App Subscription
Posted 42d ago
~40 hrs/week
Responsibilities
Design and implement large-scale data pipelines using Nifi and AWS to support sports performance products. Develop ETL processes, data models, and monitoring systems to ensure efficient data flow and observability.
Requirements
Requires a Master's degree in Computer Science or a related field with at least one year of professional data engineering experience. Must be proficient in Python, Java, Kafka, AWS, Docker, and SQL within an Agile environment.
Full job description
Company Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
Job Description
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.
*Position permits telecommuting from anywhere in the U.S.
ABOUT YOU:
Master’s 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 you’re willing to learn and grow with us, we invite you to join our team!
Related keywords
NifiAWSPythonJavaKafkaDockerSQLETLData WarehousingData ArchitectureData ModelingAgileJiraData PipelinesReal-time DataBatch Data
Sportradar, the leading global sports technology company creating immersive experiences for sports fans and bettors.
Industry
Information Services
Company size
1,001-5,000 employees
Founded
2001
Headquarters
St. Gallen
LinkedIn followers
228,841
Total funding
$98M
Sportradar Group AG (NASDAQ: SRAD), founded in 2001, is a leading global sports technology company creating immersive experiences for sports fans and bettors. Positioned at the intersection of the sports, media and betting industries, the company provides sports federations, news media, consumer platforms and sports betting operators with a best-in-class range of solutions to help grow their business. As the trusted partner of organizations like the ATP, NBA, NHL, MLB, NASCAR, UEFA, FIFA, and Bundesliga, Sportradar covers over a million events annually across all major sports. With deep industry relationships and expertise, Sportradar is not just redefining the sports fan experience, it also safeguards sports through its Integrity Services division and advocacy for an integrity-driven environment for all involved.
For more information about Sportradar, please visit www.sportradar.com
Offices: Feldlistrasse 2, St. Gallen, 9000, CH · Hosnedlgasse 25, Vienna, 1220, AT · Ferjemannsveien 10, Trondheim, 7042, NO · Mauerkircherstr. 1a, Munich, 81679, DE · Industriestraße 11, Gera, 07546, DE
Sports-related live data and odds solutionsVirtual Sports BettingIntegrity servicesSports information servicesMedia servicesand Digital Sports SolutionsSportsInformation TechnologyInformation ServicesGambling
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