About the Role
Responsibilities
System Deployment: Conceive, design and build new features in the existing backend processing pipelines.
CI/CD Implementation: Design and implement CI/CD pipelines for automated build, test, and deployment processes. Ensure continuous integration and delivery of features, improvements, and bug fixes.
Code Quality and Best Practices: Enforce coding standards, best practices, and design principles. Conduct code reviews and provide constructive feedback to maintain high code quality.
Performance Optimization: Identify and address performance bottlenecks in both reading, processing and writing data to the backend data stores.
Mentorship and Collaboration: Mentor junior engineers, providing guidance on technical aspects and best practices. Collaborate with cross-functional teams to ensure a cohesive and unified approach to software development.
Security and Compliance: Implement security best practices for all tiers of the system. Ensure compliance with industry standards and regulations related to AWS platform security.
Key Skills
Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.
Proven experience, minimum 3 years, in high-volume data processing development expertise using ETL tools such as AWS Glue or PySpark, Python , SQL and databases such as Postgres
Experience in development on an AWS platform
Strong understanding of CI/CD principles and tools. GitLab a plus
Excellent problem-solving and debugging skills.
Strong communication and collaboration skills with ability to communicate complex technical concepts and align organization on decisions
Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
Utilizes team collaboration to create innovative solutions efficiently
Other desirable skills
Knowledge of networking principles and security best practices.
AWS certifications
Experience with Data Warehouses, ETL, and/or Data Lakes very desirable
Experience with RedShift, Airflow, Python, Lambda, Prometheus, Grafana, & OpsGeni a bonus
Exposure to the Google Cloud Platform (GCP)
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Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
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