Senior Data Engineer – Paramount Pictures Summer Internship Coral Springs

Position Title: Senior Data Engineer

Company: Paramount

Location: Coral Springs, FL, US

Job Description:

Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from ViacomCBS, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world’s biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream ViacomCBS Streaming’s other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.

Data plays a central role at ViacomCBS and our Data Technology Solutions team is a crucial part of our success! It drives business, product, and operational decisions by providing rich data, strategic insights, and analytical products We are looking for a Senior Data Engineer who is passionate about data, entertainment, news, and sports who thrive in a dynamic and fast-paced environment.

Responsibilities:

• Bachelor’s Degree in Computer Science or a related field
• Minimum of 4+ years of applicable engineering experience
• Strong proficiency in Python
• Ability to write complex SQL to perform common types of analysis and aggregations
• Strong knowledge of Application Programming Interfaces
• Proven ability to clearly communicate complex solutions
• Experience working on large scale data migration projects
• Develop data pipelines for processing data from internal and external sources
• Migration of on-premise ETL processes to Python and Airflow
• Develop a process to capture different data points required for a reliable data quality system

Requirements:

• Experience with Cloud platforms
• Experience with services like Google Dataflow, Google BigQuery, Pubsub, Apache airflow or similar
• Experience with Docker containerization
• Familiar with a NoSQL database such as MongoDB
• Familiar with version control systems (Git and Bitbucket)
• Can perform statistical analysis using tools such as R, Numpy/SciPy with Python
• Familiar with Atlassian products Jira and Confluence
• Experience with a Python web framework such as Django or Flask
• Familiar with Apache Beam
• Identify, design and implement internal process improvements by automating manual processes and optimizing data delivery
• Develop and promote best practices in data engineering
• Be part of the on call rotation supporting our SLA’s