Software Engineer (Big Data)

GraceMark Solutions; Sorocaba; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A tech solutions company based in Sorocaba is looking for a Big Data Engineer skilled in Java or Python for backend development. The role involves developing services, optimizing data pipelines using Hadoop and Spark, and enhancing large-scale systems. Candidates should have 3–5 years' experience in backend engineering with proficiency in Big Data technologies. Strong communication skills and familiarity with consumer tech environments are essential. This position offers a competitive monthly compensation of ~$2,200 USD.

Qualificações

• 3–5 years of experience in backend engineering with Java / Python.
• Hands-on experience with Big Data technologies: Hadoop, Spark, and/or MapReduce.
• Ability to build and maintain distributed systems for large data volumes.

Responsabilidades

• Develop and enhance backend services using Java or Python.
• Work directly with Big Data pipelines using Hadoop, MapReduce, and Spark.
• Improve performance and maintainability of large-scale distributed systems.

Conhecimentos

Java

Python

Hadoop

Spark

MapReduce

Communication skills

Ferramentas

Power BI

Descrição da oferta de emprego

Big Data Engineer (Java / Python Backend) - Recomendation Platforms São Paulo, Brazil

Contract Duration : September 2025 – March 2026

Compensation : ~$2,200 USD / month (as FTE)

What You'll Do

Develop and enhance backend services using Java or Python, contributing across the full product lifecycle.

Work directly with Big Data pipelines using Hadoop, MapReduce, and Spark (current systems run on MapReduce, with active migration to Spark).

Collaborate with product, design, and client teams to understand user impact and translate requirements into scalable technical solutions.

Improve performance, reliability, and maintainability of large-scale distributed systems.

Apply automation where beneficial and contribute to continuous system improvements.

Communicate technical decisions clearly, including the ability to describe and interpret system diagrams and architectural flows.

What We're Looking For

3–5 years of experience in backend engineering with strong proficiency in Java / Python.

Hands-on experience with Big Data technologies: Hadoop, Spark, and / or MapReduce.

Ability to build, optimize, and maintain distributed systems that handle large data volumes.

Strong communication skills, especially to explain architecture, data flow, and user impact.

Experience working on consumer-facing or large-scale product environments.

Familiarity with Big Data tooling (e.g., Power BI, data pipelines) is a plus.

Experience with basic automation is helpful (testing is not a core requirement).

Who Will Thrive in This Role

Engineers who have real hands-on Big Data experience—not just surface-level exposure.

Professionals who understand how backend decisions affect user experience.

Those with experience in industries similar to large-scale consumer tech, social platforms, AI-driven products, or high-traffic data ecosystems (e.g., recommendation systems, content discovery, digital media platforms).