Data Engineer

Job Description

Responsibilities
Fandango is looking for Software Engineers at all levels. As a Data Engineer in Applied Machine Learning, you will work with Data Engineers and Data Scientists to deliver projects and systems critical to Fandango's business. We expect our Data Engineers to be deeply technical, highly collaborative, versatile, and enthusiastic about taking on new problems across our businesses as we continue to build great experiences for fellow movie fans.

Responsibilities:
• Design, develop, test, deploy, maintain and improve data systems and services
• Perform code reviews and collaborate with peers on software solutions
• Work directly with data scientists to design, prototype, and operationalize machine learning models
• Participate in Agile ceremonies (standups, retros, sprint planning, etc.)
• Troubleshoot and fix production issues as they occur
• Collaborative with the technical team to solve complex technical and design issues

Qualifications/Requirements
• BA/BS degree in Computer Science, Applied Mathematics or related technical field or equivalent practical experience
• 2+ years of proven professional experience in data products and machine learning systems
• Exposure to statistical and machine learning models
• Professional experience in one or more of the following programming languages (Java, Scala, Python)
• Exposure to distributed data storage and large-scale data processing (Spark, EMR, Hadoop, Hive)
• Experience with AWS data management (S3, Redshift, DynamoDB) and related tools (Athena, EMR, Glue)

Desired Characteristics
• Experience collaborating with software engineers and data scientists
• Exposure to the data science workflow, from proof of concept development to operationalizing production models
• Familiar with software build, release, deployment and monitoring tools and practices
• Experience designing and building data warehousing and/or analytics platforms
• Experience working in an agile/scrum environment

Desired Characteristics:
• Passionate about machine learning throughout the entire life cycle from ideation and prototypes through development, testing, and delivery
• Collaborative. Works well in a team. Excited to succeed and to help other engineers succeed
• Eager to learn and stretch your boundaries while you learn and leverage new technologies
• Open to new approaches and new ideas
• Can take initiative to independently solve issues

Jobcode: Reference SBJ-gx7w4z-18-219-22-169-42 in your application.