Data Engineer

July 8

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Logo of Quartile

Quartile

Advertising • eCommerce • Artificial Intelligence

Quartile is the world’s largest retail media optimization platform, offering advanced advertising solutions for e-commerce businesses. Using six patented machine learning technologies, Quartile automates and optimizes ads across various marketing channels, including Amazon, Google, and social media platforms. The company empowers over 5,300 brands and sellers worldwide, managing over $2 billion in annual ad spend. With a flat-rate fee structure and comprehensive campaign management capabilities, Quartile helps businesses achieve sales growth through strategic insights and cutting-edge AI-driven technology.

📋 Description

• Develop Data Pipelines in Python using APIs from world leading marketing companies • Create monitoring systems for pipelines • Design Architecture for new ETLs in Databricks or Azure Functions • Consume data from Azure Data Lake to generate requests to APIs • Develop integrated tests for QA

🎯 Requirements

• Experience with Pyspark, Spark or Scala • Relational databases (MySQL, PostgreSQL, AWS RDS) • Profiling backend services and databases and improving their performance • Experience with Tests (unit, manual, integration, E2E…) and good documentations • Solid Experience with Python (APIs, Data Modeling, Classes) • Knowledge of Cloud Architecture (Azure or AWS) • Experience working with Data Lake/Delta Lake Housing • Proficiency in English is required - Advanced to Fluent Level • Innovative behavior • Agile methodologies

🏖️ Benefits

• Fully remote work • The opportunity to join an international team • Career growth opportunities • Generous Paid Time Off

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