Data Reliability and Automation Engineer
We are hiring a Data Engineer to expand the world’s largest database of basketball stats, and help automate our data auditing process and improve data upload workflows. This person will work on data infrastructure, automation, and optimization to support scalable analytics and AI-driven data processes within Cerebro Sports.Responsibilities:
Key Responsabilities
- Design, build, and maintain data pipelines and ETL processes.
- Automate manual workflows to improve efficiency in data processing.
- Optimize SQL queries and databases to support business intelligence and analytics.
- Collaborate with engineering and analytics teams to ensure data quality.
- Develop data models that support scalable and efficient reporting, as well as new sources of data Cerebro can ingest.
- Implement best practices for data security, governance, and compliance.
Qualifications & Skills:
- Multiple years of experience in data science, engineering or related fields.
- Strong proficiency in SQL and database optimization.
- Experience with Python, Excel, Google Scripts, and other ETL tools.
- Familiarity with cloud data warehouses like Snowflake, BigQuery, CloudSQL, and Redshift.
- Knowledge of data modeling and schema design for analytics.
- Strong understanding of API integration, data lakes, and data pipeline automation.
- Experience with distributed data processing frameworks (Spark, Kafka) is a plus.
- Experience with basketball data, analytics, and knowledge of formulas that make up basketball stats is a plus.
