Data Engineer

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Overview

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.

What You'll Do

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

Preferred Qualifications

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 Need to Know

This is a PJ contract based out in Brazil.

Benefits

Fully remote work

The opportunity to join an international team

Career growth opportunities

Generous Paid Time Off

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