Nobody read books anymore… Nope! Our client, a leading entertainment and technology company is shaping the future of storytelling, utilizing AI and predictive algorithms to discover untold stories and transform them into major successes. By producing a new $1M ebook every four weeks, they have rapidly become one of the top publishers worldwide, achieving a hit rate 40 times higher than traditional publishers. Their recent expansion into a new streaming platform marks just the beginning of their goal to become a dominant force in next-generation entertainment.
What You’ll Do :
- Build and maintain robust data pipelines using modern tools for data processing and transformation
- Enhance data workflows by optimizing performance, troubleshooting issues, and implementing monitoring systems
- Collaborate with cross-functional teams, including engineers, analysts, and product managers, to align data solutions with business needs
- Establish and uphold data quality standards throughout the data pipeline lifecycle
- Design scalable, efficient, and maintainable data architectures
- Ensure that decision-makers have access to timely, accurate, and actionable data insights
What You’ll Bring :
Hands-on experience developing and optimizing data infrastructure and pipelinesStrong proficiency in Python and SQL for data processing and managementDeep knowledge of data workflow automation and transformation toolsAbility to excel in a fast-paced, rapidly evolving environmentWho We’re Looking For :
Independent thinker with a problem-solving mindsetData-focused professional who takes initiative and drives resultsQuick to adapt and execute in a dynamic settingHighly motivated and eager to advance their careerExcited about shaping the future of AI-driven experiences in digital content and mediaThe company’s tech stack :
Javascript, React 18, React Native / Expo,Ruby 3.05, Rails 6.1PostgreSQL, Redis, ElasticSearch, Airflow, Python and dbt to support data processingKubernetesWhat you can expect :
A compensation between 5 800 USD –7 500 USD depending on your experienceFree access to their premium platformsUnlimited vacation policyWorking hours : 11 : 00 – 19 : 00