WHO WE ARE: 

Quartile, the world's largest retail media optimization platform, is a trusted partner for multichannel e-commerce success. Through unmatched expertise and patented AI technology, we fuel growth for 5,300+ brands and sellers worldwide and manage an annual ad spend exceeding $2 billion. The award-winning platform covers major marketplaces and ad channels for optimal reach. The result is unprecedented granularity, smarter budgeting, and bespoke solutions for retailers. 

Quartile is proud to be an equal opportunity employer with employees stemming from a wide range of backgrounds and experiences. As a business, we value the enrichment that diversity brings to our organization and are committed to a culture that creates a sense of inclusion and belonging. We welcome new perspectives and affirm that all employment decisions are made without regard to race, color, ancestry, religion, national origin, age, familial or marital status, sex, sexual orientation, pregnancy, gender identity or expression, disability, genetic information, veteran status, or any other classification protected by federal, state, or local law. 

OVERVIEW:  

We are looking for a Data Engineer to join our Data Engineering Team! 

As a Data Engineer, you will join the team responsible for designing and implementing cutting edge technologies to develop data pipelines from the most important advertising channel of the world (Amazon, Google, Facebook, Instacart, Walmart and others), being awarded by Amazon as the best US Scaled Technology of 2022. 

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 

DESIRABLE:  

•            Experience with Machine Learning for engineering 
•            Experience with Databricks 
•            Experience with Terraform 
•            Experience with OAuth Authentication Workflow 
•            Experience with Topics and Queues Architecture (Kafka, Event Hub, Service Bus) 
•            Experience with Object Oriented languages like Scala or Java 
•            Understanding of E-commerce and Marketing area 
•            Good teamwork and positive mindset  

WHAT YOU’LL DO:  

As a Data Engineer you will:  

•            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 

BENEFITS:  

• Company Laptop 
• The opportunity to join an international team!  
• Salary in USD 
• Fully Remote work