Data Engineer

Job Description

Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, 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 US in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage.

Role Details:

The Data Engineer should possess a deep sense of curiosity and a passion for building sensible products based on data, and the ability to communicate data structures and tools throughout the Paramount Streaming organization!

The candidate for this role will use their skills in reverse engineering, analytics, and creative experimental solutions to devise data and BI solutions. This engineer supports data pipeline development which includes machine learning algorithms using disparate data sources.

The ideal candidate will work closely with BI, Research, Engineering, Marketing, Finance, and Product teams to implement data-driven plans that drive the business.

They will have good communication and interpersonal skills and possess the ability to convey knowledge of data structures and tools throughout the CBS Digital Media organization.

Your Day-to-Day:
• Works with large volumes of traffic data and user behaviors to build pipelines that enhance raw data.
• Able to break down and communicate highly complex data problems into simple, feasible solutions.
• Extract patterns from large datasets and transform data into an informative advantage.
• Find answers to business questions via hands-on exploration of data sets via Jupyter, SQL, dashboards, statistical analysis, and data visualizations.
• Partner with the internal product and business intelligence teams to determine the best approach around data ingestion, structure and storage. Then, work with the team to ensure these are implemented accurately.
• Contribute new ideas on how to make our data more effective and working with other members of the engineering, BI teams, and business units to implement changes.
• Ongoing development of technical solutions while designing and maintaining documentation, at times training impacted teams.
• Early on collaboration with the team on internal initiatives to build strategies that improve company processes.
• Look at ways of improving efficiency by remaining current on the latest technology and trends and introduce members of the team to such.
• Develop prototypes to proof out strategies for data pipelines and products.
• Lead initiatives in ways to improve the quality of our data as well as make the data more effective, with other members of engineering, BI teams, and business units to implement changes.
• Able to break down and communicate highly complex data problems into simple, feasible solutions.

Qualifications:

What you bring to the team:

You have-
• Bachelor's degree and 2-3 years of work experience in Analytics/Measurement/Data Operations fields or consulting roles with a focus on digital analytics implementations.
• Experience with data management systems, both relational and NoSQL (e.g., HBase, Cassandra, MongoDB)
• Proficient in Python.
• Able to write SQL to perform common types of analysis and transformations.
• Experience with exploratory data analysis using tools like Python Notebook, Pandas & matplotlib, etc.
• Strong problem-solving and creative-thinking skills.
• Demonstrated development of ongoing technical solutions while developing and maintaining documentation, at times training impacted teams.
• Experience designing solutions to business requirements via hands-on discovery and exploration of data.
• Strong written and verbal communication skills, including the ability to communicate technical concepts to non-technical audiences, as well as translating business requirements into Data Solutions
• Familiarity with ETL/ELT concepts.
• Influences and applies data standards, policies, and procedures
• Builds strong dedication within the team to support the appropriate team priorities
• Staying ahead with new and evolving technologies via formal training and self-directed education
• Familiarity with Data Modeling.

You might also have:
• Experience with Apache Airflow is a plus.
• Familiarity with Data Modeling.
• Familiar with GIT.
• Familiar with Adobe Analytics (Omniture) or Google Analytics.
• Digital marketing strategy including site, video, social media, SEM, SEO, and display advertising.

#LI-remote

Paramount is an equal opportunity employer (EOE) including disability/vet.

Jobcode: Reference SBJ-rjw0o1-18-221-41-214-42 in your application.