Key skills
PythonSQLRelational data management systemsNoSQL data management systemsBigTableHBaseCassandraMongoDBExploratory data analysisiPython NotebookPandasmatplotlibCloud platform deploymentGoogle Cloud PlatformData standards and policiesApache AirflowData modelingGITStatistical analysisRNumpySciPyAdobe AnalyticsGoogle AnalyticsELTETLNoSQLAINumPyJupyterAnalyticsBIBusiness IntelligenceAirflowStatistical AnalysisGoogle CloudGitSalesforceCommunication
About this role
Paramount is on a mission to unleash the power of content, and they are seeking a Senior Data Engineer to drive their data strategy and best practices. In this role, you will work with large volumes of data, collaborate with cross-functional teams, and lead projects to enhance data quality and insights.
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
Requirements:
- 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
- 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