Refinery89
51 - 200 employees
Founded 2018
☁️ SaaS
🏢 Enterprise
Advertising • SaaS • Enterprise
Refinery89 is a company that specializes in ad tech solutions, focusing on monetizing ads for publishers to maximize their revenue. They offer a variety of services including interest-driven targeting, programmatic demand access, and detailed ad performance insights. Refinery89 positions itself as a reliable partner for digital monetization, assisting clients with personalized service and cutting-edge technology.
Junior Data Engineer
🕒 February 13
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Refinery89
51 - 200 employees
Founded 2018
☁️ SaaS
🏢 Enterprise
Advertising • SaaS • Enterprise
Refinery89 is a company that specializes in ad tech solutions, focusing on monetizing ads for publishers to maximize their revenue. They offer a variety of services including interest-driven targeting, programmatic demand access, and detailed ad performance insights. Refinery89 positions itself as a reliable partner for digital monetization, assisting clients with personalized service and cutting-edge technology.
📋 Description
• Design, build, and maintain data pipelines supporting Refinery89’s core data platform. • Contribute to the design and evolution of the company’s data architecture and tooling. • Implement reliable ingestion, transformation, and storage processes for structured and semi-structured data. • Ensure data reliability, consistency, and basic data quality controls across systems. • Collaborate with engineers and internal stakeholders to support analytics and operational use cases. • Maintain clear, consistent technical documentation for data systems and workflows.
🎯 Requirements
• Experience in Linux management, bash scripting • Some exposure to cloud platforms (we use AWS, but experience with any other cloud is acceptable) • Python (medium level) • SQL (medium level) • Writing clear and consistent documentation • Professional working proficiency in English • Common Python libraries, particularly boto3 • Some others such as psycopg2, pymysql, requests • ETL/ELT processes • Task orchestration (cron jobs, AWS EventBridge, AWS Step Functions) • Some experience with data quality • Some knowledge of a high-performance language (Rust, C, C++) • Experience with data governance • Testing (pytest, unittest) • NoSQL such as Elasticsearch or Pinecone • Airflow management • Streaming (Kafka, Kinesis, etc.)
🏖️ Benefits
• Flexible work arrangements
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