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About the Organisation
Sporty Group is a global consumer internet and technology company known for its dynamic sports media, gaming, social, and fintech platform. With millions of active users daily, it operates across more than 10 countries and 3 continents. The company is powered by a team of over 300 high achievers from diverse backgrounds. It values innovation, flexibility, and a results-driven work culture, offering its employees a startup vibe backed by the security of an established global business.
Data Engineer job at Sporty Group | Apply Now
Remote, OR, USA
Are you looking for Remote Data Science & Analytics jobs in 2025 today? then you might be interested in Data Engineer job at Sporty Group
Full Time
Deadline:
31 May 2025
Job Title
Data Engineer job at Sporty Group
Sporty Group
Job Description
As a Data Engineer, you will be responsible for designing, developing, testing, and maintaining scalable data pipelines and architectures for various business units. You will work closely with data scientists, engineers, and business intelligence teams to ensure timely and accurate data delivery. Your role includes optimizing infrastructure for scalability, integrating APIs, and maintaining the integrity of data systems.
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
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How to Apply
Design and maintain scalable batch and near-real-time data pipelines
Ensure data accuracy, consistency, and high quality
Implement process improvements and optimize infrastructure
Develop API integrations to manage increasing data volume and complexity
Collaborate with MLOps engineers, product owners, and BI analysts
Support data-centric application development including data warehouses and operational data stores
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Required:
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
3+ years of experience in data engineering or similar roles
Strong experience with data-centric applications
Experience with relational and NoSQL databases
Proficient in SQL and Python
Familiarity with Apache Airflow & Apache Spark
Understanding of cloud services (especially AWS: S3, Athena, EC2, RedShift, EMR, RDS, Lambda)
Data modelling and event-driven architectures knowledge
Preferred:
Experience with ML models
Familiarity with Docker and Kubernetes
Background or interest in the gaming industry
