• Minimum 5 years of experience in data engineering
• Proficient in Python and Spark
• Proficient in database management and administration, particularly with MySQL
• Extensive experience with AWS cloud engineering, including MWAA (Managed Airflow), MSK (Managed Kafka), Hive/EMR
• Expertise in Databricks, especially in migrating from EMR to Databricks
• Strong knowledge of Snowflake warehousing and data modeling
• Proficient in DevOps using infrastructure as code services like Terraform
• Experience with monitoring tools such as Grafana, Prometheus, and Splunk
• Strong ability to get things done and lead with empathy
• Proven track record of building and leading software engineering teams
• Tenacity and the ability to balance competing priorities
• Orientation towards long-term impact while balancing short-term goals
• Exceptional written and verbal communication skills
• Curiosity and pragmatism in problem-solving
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven experience in building and operating complex distributed systems at scale
• Empathy for users and their business goals, and a commitment to inclusion and diversity within teams

Desirable

• The EDP team at Getty Images is responsible for developing and maintaining the data infrastructure that supports various partner teams
• Our work ensures that Getty Images continues to deliver top-notch services and products to our customers by leveraging cutting-edge technologies and innovative data solutions
• Join the EDP team at Getty Images and contribute to building the data and AI platform that empowers our customers to move the world with images
• Develop and Maintain: Backend engineering to develop and maintain microservices serving as access points to Getty Images' data and AI platform
• Build Scalable Solutions: Create scalable software solutions to enhance data processing and analytics capabilities
• Cross-Functional Collaboration: Form strong cross-functional relationships with engineering, data science, and product teams to deliver high-quality solutions
• Focus on Reliability and Security: Ensure the reliability, resiliency, and security of data services
• Ownership and Quality: Take ownership of changes and ensure high code quality from concept to production
• Automate Processes: Lead efforts to automate manual processes and build efficient data pipelines