Software Engineer (Big Data)

Gracemark Solutions; Carapicuíba; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A technology solutions provider in São Paulo is looking for a Big Data Engineer to enhance backend services in Java or Python. This role involves working with Big Data pipelines, collaborating with teams to create scalable solutions, and improving large-scale system performance. Ideal candidates have 3-5 years of experience in backend engineering, are proficient in Java and Python, and possess hands-on experience with technologies like Hadoop and Spark. Strong communication skills are essential for explaining architecture and data flows.

Qualificações

• 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.

Responsabilidades

• Develop and enhance backend services using Java or Python.
• Work directly with Big Data pipelines using Hadoop, MapReduce, and Spark.
• Collaborate with product, design, and client teams to understand user impact.

Conhecimentos

Java

Python

Hadoop

Spark

MapReduce

Communication skills

Automation

Descrição da oferta de emprego

Big Data Engineer (Java / Python Backend) - Recommendation Platforms

São Paulo, Brazil

Contract Duration: September – March • 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).