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Data Engineer

GraceMark Solutions

Olinda

Presencial

BRL 80.000 - 120.000

Tempo integral

Ontem
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Resumo da oferta

A leading tech company is looking for an experienced Data Engineer in São Paulo, Brazil. The ideal candidate should have over 3 years of backend experience with strong Java skills, particularly in REST APIs and Big Data technologies like Hadoop and Spark. You will be part of a high-impact team, responsible for building large-scale products. This role offers a competitive salary of $2200 USD monthly for a 6-month term.

Qualificações

  • 3+ years of backend engineering experience.
  • Proficient in Java backend skills including REST APIs, caching, and storage.
  • Experience with Big Data tools such as Hadoop and Spark.

Responsabilidades

  • Build and enhance backend features from requirements to launch.
  • Collaborate with product and design teams for complete functionality.
  • Develop reliable and maintainable backend components.

Conhecimentos

Backend engineering experience
Java backend skills
Hands-on Big Data experience
Clear communication in English

Ferramentas

Hadoop
Spark
MapReduce
Descrição da oferta de emprego

Hello! We currently have a great job opportunity for you!

About the role : Role : Data Engineer

Location : São Paulo, Brazil

Duration : 6 months

Salary : $ 2200 USD monthly (FTE)

We're looking for a Data Engineer with backend experience to join a high-impact engineering team building large-scale user-facing products.

What You'll Do

Build and enhance backend features end to end : requirements, implementation, automated testing, A / B testing, and launch validation.

Collaborate with product, design, and client teams to deliver complete functionality.

Develop reliable, maintainable backend components used by other engineers.

Work on large-scale, distributed, and data-intensive systems.

What We're Looking For

3+ years of backend engineering experience.

Java backend skills (REST APIs, caching, storage, data processing).

Hands-on Big Data experience : Hadoop, Spark, MapReduce (active migration from MR → Spark).

Experience in consumer apps, social media, or large-scale platforms (not financial systems).

Ability to communicate clearly in English (fluent required) and collaborate effectively across global teams.

If you have real Big Data experience and enjoy building products at scale, we'd love to hear from you!

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