Senior Data Engineer

Responsibilities

• The Senior Data Engineer should possess a deep sense of curiosity and a passion for building data pipelines, data structures and data products and the ability to communicate data structures and tools throughout the Paramount Digital Media organization.
• The candidate for this role will use their skills in reverse engineering, analytics, and creative, experimental solutions to devise data and BI solutions.
• They will have experience supporting data pipeline development, which includes machine learning algorithms using disparate data sources.
• They will work closely with BI, Research, Engineering, Marketing, Finance, and Product teams to implement data-driven plans that drive the business.
• They will also be able to lead a project from inception to completion, as well as help mentor junior members of the team on standard processes and approaches around data.

• Bachelor's degree and 4+ years of experience in Data Engineering and Analytics fields or consulting roles with a focus on digital analytics implementations.
• Experience with large scale data warehouse management systems such as Big Query with advanced level understanding of warehouse cost management and query optimization.
• Proficient in Python.
• Experience with Airflow or equivalent tools for orchestration of pipelines.
• Experience with Data Modeling of performant table structures.
• Able to write SQL to perform common types of analysis and transformations.
• Strong problem-solving and creative-thinking skills.
• Ability to design and implement technical solutions, maintain accurate documentation, and deliver training to impacted teams as needed.
• Experience developing solutions to business requirements via hands-on discovery and exploration of data.
• Excellent 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.
• Strong experience with ETL & ELT.
• Experience building and deploying applications on GCP cloud platform.
• Influences and applies data standards, policies, and procedures.
• Builds strong commitment within the team to support the appropriate team priorities.
• Knowledge of new and evolving technologies via formal training and self-directed education.