Senior Python Developer

About the Project

You will work with large-scale marketing and engagement datasets, helping the business better understand artist performance, fan behavior, campaign effectiveness, and digital trends across multiple platforms.

Responsibilities

• Build and maintain ETL/ELT pipelines in Python for ingesting data from external marketing and social platforms
• Design scalable data processing workflows for campaign, engagement, audience, and content analytics
• Develop and optimize data models in Snowflake
• Implement data quality checks, monitoring, and pipeline reliability improvements
• Collaborate with analytics, marketing, and business teams to deliver actionable insights
• Automate data extraction, transformation, aggregation, and reporting processes
• Support dashboarding and analytical use cases for marketing and artist performance tracking
• Work with structured and semi-structured data at scale
• Participate in architecture discussions and continuous platform improvements

Requirements

• Strong Python experience focused on data engineering and ETL development
• Solid SQL knowledge and experience working with analytical databases
• Hands-on experience with Snowflake
• Experience integrating with REST APIs and external data platforms
• Understanding of data warehousing concepts and dimensional modeling
• Experience with orchestration and workflow tools (Airflow or similar)
• Experience processing large-scale datasets
• Familiarity with cloud platforms such as AWS
• Strong analytical and problem-solving skills

Nice to Have

• Experience working with marketing, audience, or engagement analytics platforms
• Experience with media, entertainment, or music industry projects
• Knowledge of dbt, Snowpark, or modern ELT architectures
• Experience building marketing attribution or audience analytics solutions
• Familiarity with BI tools such as Tableau or Looker

Technologies

Python SQL Snowflake AWS Airflow REST APIs ETL / ELT pipelines Marketing analytics