Senior Data Engineer - Fandango

Company Description
At Fandango, we love movies. From showtimes and ticketing, to engaging content and innovations in movie going- we strive to deliver the perfect movie going experience-anytime, anywhere. And to be the go-to destination for moviegoers, we think it's all about collaboration. Anyone can build a website or app, but it takes a special group across many disciplines to create an experience that can live across multiple platforms and connected devices. Thanks to an exceptional team, we're working hard to make Fandango a little bit better every day. Our 30 million (and growing!) online and mobile monthly visitors can now buy movie tickets at over 25,000 screens nationwide and stay for exclusive trailers, our award-winning original video series, movie reviews, celebrity interviews and more. So, if you're looking to inspire, be inspired and work at the intersection of entertainment and technology look no further than Fandango. Visit Fandango.com/careers for a behind-the-scenes look at Fandango and follow us on LinkedIn for the latest news and updates. Fandango is an NBCUniversal Company.
Job Description
Fandango is looking for Senior Data Engineer. As a Senior Data Engineer on our data systems and services team, you'll work with and/or a team of other data engineers to deliver projects and systems critical to Fandango's business. We expect our data engineers to be versatile, display leadership qualities and be enthusiastic about taking on new problems across our businesses as we continue to build great things for fellow movie fans.
Responsibilities:

• Contribute to and help lead team in design, build, testing, scaling, and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements.
• Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies.
• Collaborate with business leaders, engineers, and product managers to understand data needs.
• Become a subject matter expert for data engineering related technologies and designs.
• Develop and champion best practices, striving towards excellence and raising the bar within the department.
• Troubleshoot and fix production issues as they occur.
• Mentor team members with complex technical and design issues.

Qualifications
Qualifications/Requirements:

• BA/BS degree in Computer Science, Computer Engineering or related technical field or equivalent practical experience.
• 9+ years of applied experience in Data Engineering, including but not limited to building Data Pipelines, Orchestration, Data Modeling & Data Lake.
• Programming skills in one or more of the following: Python, Java, Scala, SQL, and experience in writing reusable/efficient code to automate analysis and data processes.
• Experience in Data Warehousing (Relational and dimensional data modeling).
• Strong working experience with variety of data sources such as APIs, real-time feeds, structured and semi structured file formats.
• Experience with processing large datasets and building code using SQL, Python, pySpark & Apache Airflow / Amazon MWAA.
• Experience of near Real Time & Batch Data Pipeline development.
• Experience with AWS data management (S3, Redshift, DynamoDB) and related tools (Athena, EMR, Glue, Lambda).
• Experience working with Terraform.
• Experience working in an agile/scrum environment.
• Experience with Talend, Informatica, or other off-the-shelf ETL tools.

Desired Characteristics:

• Familiar with software build, release, deployment and monitoring tools and practices.
• Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production.
• Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm, and willingness to learn new methods, tools, practices, and skills.
• Ability to work effectively across functions, disciplines, and levels

This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
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