Full Stack Data Engineer

🕒 Novembro 13, 2025

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rockITdata

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

Artificial Intelligence • Consulting • Technology

A rockITdata é uma empresa de consultoria especializada em fornecer soluções estratégicas e suporte nas áreas de IA, Dados e Análise, Transformação de TI e Consultoria de Gestão. A empresa foca em aproveitar tecnologias baseadas em nuvem e dirigidas por IA para transformar experiências de clientes e otimizar operações. Sua expertise reside em atender indústrias dos setores comercial e público, oferecendo soluções sob medida que integram tecnologias de uso dual para impulsionar o crescimento dos negócios e melhorar o engajamento dos clientes. A rockITdata se compromete a entregar soluções inovadoras que empoderam equipes e otimizam relações com clientes por meio de parcerias tecnológicas avançadas.

Descrição

• Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources. • Integrate data from different systems and platforms to create unified datasets for analysis and reporting. • Develop and maintain data storage solutions such as data lakes, data warehouses, and NoSQL databases. • Optimize data storage and retrieval mechanisms for performance, scalability, and cost-effectiveness. • Implement data processing workflows for cleaning, transforming, and enriching raw data into usable formats. • Apply data transformation techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes. • Build software applications and APIs to expose data services and functionality to other systems and applications. • Establish monitoring and alerting mechanisms to track the health and performance of data pipelines and systems. • Document data engineering processes, architectures, and solutions to facilitate knowledge sharing and collaboration. • Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver solutions.

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development. • Strong understanding of database concepts, data modeling techniques, and SQL programming. • Hands-on experience with cloud platforms such as AWS, Azure, or GCP for building and deploying data solutions. • Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). • Familiarity with version control systems (e.g., Git) and software development best practices (e.g., Agile, CI/CD).

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development