Description

You will build data pipelines, structures, and products to transform large volumes of traffic and user behavior data into actionable insights.

Responsibilities

• Build and maintain data pipelines that integrate disparate data sources and machine learning algorithms.
• Extract patterns from large datasets to solve complex business questions via hands-on exploration.
• Partner with BI, Research, Engineering, and Product teams to design data ingestion, structure, and storage approaches.
• Lead projects from inception to completion, including developing prototypes to proof out pipeline strategies.
• Mentor junior team members on data best practices and maintain technical documentation.

Required Skills

• 3+ years of experience in Data Engineering, Analytics, or consulting roles focused on digital analytics.
• Proficiency in Python and advanced SQL for data analysis and transformations.
• 1+ years of experience with large-scale data warehouse management using BigQuery, including query optimization and cost management.
• Experience with Apache Airflow or equivalent orchestration tools.
• Hands-on experience with Jupyter, dashboards, and statistical analysis.
• Familiarity with Adobe Analytics (Omniture) or Google Analytics.
• Knowledge of digital marketing strategies including SEM, SEO, social media, and display advertising.
• Experience working with AWS and Apache environments.
• Ability to translate business requirements into technical data solutions for non-technical audiences.

Key Skills

Education

ANY GRADUATE