Data Engineer

Vaga Postada: 28 de Junho de 2020

API AWS ETL GitHub SQL Amazon Redshift
  • Empresa: AMARO
  • Faixa salarial: R$ 6.000,01 a R$ 10.000,00
  • Estado: São Paulo
  • Local da vaga: São Paulo
  • Nível: Sênior
  • Aceita Remoto?: Não
  • Tipo de contratação: CLT

Descrição da vaga

We are seeking a razor-sharp Data Engineer with a strong passion for programming, SQL, ETL, and Data Warehouse modeling to join our Data and Customer Experience Team.

You will directly impact the day-to-day decision making in the many AMARO teams and operate and develop a deep understanding of the convergence of the hottest areas in tech: Analytics, Data Warehousing, Data Design, Software Development, and Cloud Services.

Hunger for knowledge: You don’t need to know everything, you just need to want to learn and evolve.

> Be a self-starter, comfortable with ambiguity, and responsible for thinking big with the opportunity to set directions by delivering high-quality software, microservices, and maintaining operational excellence;
> Work with several business teams and Data Scientists to guarantee data collection from different structured and unstructured data sources, to prepare, store and present that data with Python and SQL in a way that is optimal for following along with business analytics;
> Design, develop, troubleshoot, evaluate, deploy, and document best-practice solutions on AWS utilizing existing AWS products and services;
> Evaluate and improve AMARO's Data Visualization tool stack (Looker, Google Data Studio and Amplitude) to optimize data modeling and availability;
> Offer ways to get data and other real-time flows, supporting microservices and other internal apps for various Chapters and Squads;
> Research and develop new methods, tools, and technologies;
> Improve monitoring, pipeline testing, and alerting capabilities to ensure data quality and compliance.


> 2+ years of previous experience with Data Engineering or Analytics in a data warehousing environment;
> Data modeling knowledge (Star Schema, Snow Flake, Dimensions, Facts, Granularity, etc.)
> Level of English: Intermediate/advanced.

Our team is serious about great design and redefining stable and cost-effective cloud-based solutions for scalability and automation. Along the way, we guarantee that you’ll work with great partners and learn to implement state-of-art technology, have fun, and make a huge impact on how we connect to fashion and e-commerce. Check out our core data stack described in our blog posts:
A Less-Server Data Infrastructure Solution for Ingestion and Transformation Pipelines (
Session-Based Fashion Item Recommendation with AWS Personalize (