Data Engineer

Quartile, the world's largest retail media optimization platform, is a trusted partner for multichannel e-commerce success.

Through unmatchedexpertiseand 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 foroptimalreach.

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

• .REQUIREMENTS : Experience with Pyspark, Spark or ScalaRelational databases (MySQL, PostgreSQL, AWS RDS)Profiling backend services and databases and improving their performanceExperience with Tests (unit, manual, integration, E2E...) and good documentationsSolid Experience with Python (APIs, Data Modeling, Classes)Knowledge of Cloud Architecture (Azure or AWS)Experience working with Data Lake / Delta Lake HousingProficiency in English is required - Advanced to Fluent Level.
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If youreachedthis point, we hopeyou'refeeling excited about the job description.We'reeager to meet people that believe in Quartile's mission and can contribute to our team in a variety of ways.

Feel welcome to apply!

PREFERRED QUALIFICATIONS : Experience with Machine Learning for engineeringExperience with DatabricksExperience with TerraformExperience with OAuth Authentication WorkflowExperience with Topics and Queues Architecture (Kafka, Event Hub, Service Bus)Experience with Object Oriented languages like Scala or JavaUnderstanding of E-commerce and Marketing areaGood teamwork and positive mindsetWHAT YOU'LL DO : As a Data Engineer you will : Develop Data Pipelines in Python using APIs from world leading marketing companiesCreate monitoring systems for pipelinesDesign Architecture for new ETLs in Databricks or Azure FunctionsConsume data from Azure Data Lake to generate requests to APIsDevelop integrated tests for QABENEFITS : Fully remote workThe opportunity to join an international teamGenerous Paid Time OffThis is a PJ contract based out in Brazil.

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