Senior Data Engineer

Responsibilities:

• Design, build, and optimize scalable pipelines for data, supporting insight into the the Data Foundation ecosystem
• Design and implement data models using industry best practices that capture a complete ecosystem view of internal customer experiences, while ensuring accuracy, scalability,and long-term usability
• Architect and implement robust, maintainable, and high-performance data solutions
• Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage
• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility
• Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities
• Support cost optimization by ensuring scalable and efficient data solutions
• Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA)
• Contribute to engineering discipline by shaping infrastructure, craft standards, tooling, and organizational best practices

Required Qualifications:

• Minimum of 5 years commercial work experience in data engineering or a related field
• Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field
• Proficiency in Python, essential for data processing and analysis tasks
• Hands-on experience with DBT (Data Build Tool) and Airflow
• Commercial experience using PySpark and Databricks
• Proficiency in AWS cloud infrastructure (AWS)
• Effective communication and teamwork skills

Nice to Have:

• Experience with ML Operations and GenAI pipelines and infrastructure
• Experience in the gaming industry, particularly with online multiplayer games
• Experience working with cross-discipline organizations that build data products
• Proficient in large-scale data manipulation across various data types
• Demonstrated ability to troubleshoot and optimize complex ETL pipelines
• Proven experience mentoring and guiding other engineers