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Senior Python Developer

  • Remote.Bulgaria
  • Remote.Poland
  • Белград
  • Варна
  • Варшава
  • Вроцлав
  • Днепър
  • Киев
  • Клуж-Напока
  • Краков
  • Ларнака
  • Лвов
  • Лодз
  • Люблин
  • Одеса
  • Рига
  • София
  • Харков
Малък екип (1-10 души)

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Client

Our client is a global music and entertainment conglomerate headquartered in the US with offices in over 40 countries. The company has some of the world's biggest music stars on its roster and provides innovative analytical tools both to their signed artists and to independent musicians.

Наемаме ви в компанията, не в проект

Project overview

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.

Technology stack

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

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

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