Data Engineer

Quartile; Brasil; Teletrabalho; USD 30.000 - 50.000; Tempo integral

Resumo da oferta

Quartile, a leader in retail media optimization, is seeking a Data Engineer to innovate and optimize data pipelines. The role involves utilizing cutting-edge technologies and working remotely as part of a diverse international team. Ideal candidates exhibit proficiency in Python and agile practices. Join us to shape data-driven marketing solutions!

Serviços

Fully remote work

Career growth opportunities

Generous Paid Time Off

Qualificações

• Experience with backend services and databases performance tuning.
• Solid understanding of Cloud Architecture (Azure or AWS).
• Experience with Data Lake/Delta Lake Housing.

Responsabilidades

• Develop Data Pipelines using APIs from leading marketing companies.
• Design Architecture for new ETLs in Databricks or Azure Functions.
• Create monitoring systems for pipelines.

Conhecimentos

Pyspark

Python

Relational databases

Cloud Architecture

Agile methodologies

Formação académica

Bachelor's in Computer Science or related field

Ferramentas

Databricks

Terraform

Descrição da oferta de emprego

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.

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
  
  

….. If you reached this point, we hope you're feeling excited about the job description. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Quartile's mission and can contribute to our team in a variety of ways – not just candidates who check all the boxes!

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 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

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

This is a PJ contract based out in Brazil.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Advertising Services

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