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About the Role

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.

Responsibilities

• 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.

Requirements

• Master’s degree in Computer Science, Computer Engineering, or closely related field and 1 year experience as a data engineer or related occupation.
• 1 year of experience with Python, Java, Kafka, AWS, and Docker
• 1 year of experience with ETL Development and Warehousing
• 1 year of experience with Analytic and debugging using SQL
• 1 year of experience in Agile development environment
• 1 year of experience Designing data architecture

Skills

• Nifi
• AWS cloud services
• Python
• Java
• ETL
• Warehousing
• Kafka
• SQL
• JIRA
• Docker
• Data Engineering
• Data Architecture
• Data Models

Location

• U.S.

Work Type

• Telecommuting
• Remote

Experience Level

• 1 year experience as a data engineer or related occupation

Education Level

• Master’s degree in Computer Science, Computer Engineering, or closely related field

Salary/Compensations

• Base pay within range, dependent on job-related, non-discriminatory factors including but not limited to experience, qualifications, and location.

Benefits

• Comprehensive benefits package
• Performance bonus program
• Equity stock purchase
• 401k contribution
• Collaborative environment
• Offices in Europe, Asia and US
• Social events and teambuilding
• Flexibility to manage your workday and tasks with autonomy
• Balance of structure and autonomy
• Vibrant and inclusive community
• Women in Tech and Pride groups
• Global Employee Assistance Programme
• Calm and Reulay app
• Online training videos
• Flexible working hours

About the Company

• 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.

Equal Opportunity

• 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!