
Senior Data Engineer
Paramount
New York, NYThis is a Full Time Job
#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.
Overview
As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and standard methodologies for data collection, pipelines, usage, and infrastructure. We are looking for someone with a deep sense of curiosity and an affinity for building innovative products based on data. You will collaborate with cross-functional teams to communicate data constellations and tools, leveraging your skills in reverse engineering, analytics, and creative problem-solving to devise data and BI solutions.
Responsibilities
• Work with large volumes of traffic data and user behaviors to develop pipelines that enhance raw data quality.
• Break down complex data problems and communicate feasible solutions proficiently.
• Extract patterns from large datasets and transform data into actionable insights.
• Utilize tools such as Jupyter, SQL, dashboards, statistical analysis, and data visualizations to explore datasets and find answers to business questions.
• Partner with internal product and business intelligence teams to identify optimal data ingestion, structure, and storage approaches.
• Collaborate with technology field partners to ensure reliable implementation of data solutions.
• Provide innovative ideas to improve data and collaborate with engineering, BI teams, and business units to implement changes.
• Lead projects from inception to completion, ensuring successful implementation of data solutions.
• Contribute to advancing the team in technology and best practices.
• Mentor junior team members on best practices and approaches around data.
Basic Qualifications
• STEM undergraduate degree with 4 years of work experience or STEM graduate degree with 2 years of post-graduation work experience in Analytics/Measurement/Data Operations fields or consulting roles focusing on digital analytics implementations.
• Knowledge with relational and NoSQL data management systems (e.g., BigTable, HBase, Cassandra, MongoDB).
• Proficiency in Python and SQL.
• Experience with exploratory data analysis using tools like iPython Notebook, Pandas, and matplotlib.
• Demonstrated development of ongoing technical solutions while maintaining documentation and training impacted teams.
• Experience developing solutions to business requirements through hands-on discovery and exploration of data.
• Robust written and verbal communication skills, including the ability to translate technical concepts for non-technical audiences and vice versa.
• Experience building and deploying applications on a cloud platform (preferably Google Cloud Platform).
• Ability to influence and apply data standards, policies, and procedures.
Bonus Skills
• Experience with marketing tools such as Kochava, Braze, Branch, and Salesforce Marketing Cloud.
• Knowledge with Apache Airflow.
• Knowledge of data modeling.
• Knowledge with GIT.
• Proficiency in statistical analyses using tools such as R, Numpy/SciPy with Python.
• Experience with Adobe Analytics (Omniture) or Google Analytics.
• Knowledge of digital marketing strategies including site, video, social media, SEM, SEO, and display advertising.
• Knowledge with ELT/ETL concepts.
• Knowledge of AI frameworks and prior implementation experience is a plus.
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ADDITIONAL INFORMATION
What We Offer:
• Attractive compensation and comprehensive benefits packages.
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.