Senior Data Engineer

Fandango is looking for Lead Data Engineer. As a Lead Data Engineer, working on our data systems and services, you will work with and/or lead 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.

Requirements

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