Data Engineer

Gracemark Solutions; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology solutions company based in Brazil seeks a Data Engineer to enhance backend features and collaborate with diverse teams. Applicants should have over 3 years of backend experience, particularly with Java and Big Data technologies like Hadoop and Spark. The role requires fluent English and focuses on building reliable, scalable products in a vibrant environment. This is a full-time position with a focus on creating impactful products at scale.

Qualificações

• 3+ years of backend engineering experience.
• Ability to communicate clearly in English (fluent required).
• Experience in consumer apps, social media, or large-scale platforms.

Responsabilidades

• Build and enhance backend features end to end.
• Collaborate with product, design, and client teams.
• Develop reliable, maintainable backend components.
• Work on large-scale, distributed, and data‑intensive systems.

Conhecimentos

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

Hands-on Big Data experience: Hadoop, Spark, MapReduce

Backend engineering experience

Effective communication in English

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: $ 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!