Data Engineer

Description

WSC Sports, the pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. WSC Sports’ platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.

Why WSC Sports:

You’ll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At WSC Sports, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN – and that’s just the beginning of what WSC Sports has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.

What you’ll do:

• Design and development of scalable and efficient Data Pipelines and Models
• Develop and implement ETL processes to ensure efficient loading of data from various sources
• Implement best practices for data pipelines, data warehouse and database performance tuning
• Execute end-to-end BI and data engineering solutions using leading frameworks and technologies
• Serve as the primary Data focal point for internal customers
• Write high-quality, maintainable code in a rich data environment
• Work closely with Product, R&D, Operations, and Business teams to ensure seamless integration and delivery of BI and Data solutions

Requirements

What you’ll need:

• BSc in Computer Science or an equivalent background
• 2+ years of prior experience as a BI Engineer or Data Engineer
• Experience building cloud-scalable, real-time and high-performance Data infrastructure and pipelines Solutions
• Excellent proficiency in Python and Airflow - Must
• Proficient in data modeling, ETL development and DWH methodologies
• Strong SQL skills and experience working with Snowflake or similar DB
• Prior experience working with Kubernetes, Docker – Big Advantage
• Excellent communication and collaboration skills