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Versant Media · 11 hours ago

Data Engineer II

United States

Full-time

Remote

Mid, Senior Level

5+ years exp

Versant Media is a leading force in news, sports, and entertainment, committed to delivering exceptional experiences across every screen and service. As a Data Engineer II, you will work on data systems and services, collaborating with other engineers to design, build, and maintain data pipelines critical to Fandango's business.

BroadcastingInformation TechnologyMedia and Entertainment

Responsibilities

Contribute to and help 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 engineers and product managers to understand data needs. Participate in Agile ceremonies (standups, retros, sprint planning, etc.)

Troubleshoot and fix production issues as they occur

Qualification

Data EngineeringData PipelinesAWS data managementPythonSQLData WarehousingApache AirflowTest-Driven DevelopmentTeam-orientedCollaborative approach

Required

Bachelor's degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience

5+ 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, plus 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 a 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 Glue, Apache Airflow / Amazon MWAA, SQL, Python, and pySpark. 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 in an agile/scrum environment