Data Engineer

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🕒 Dezembro 23, 2025

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Particle41

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

A Particle41 é uma empresa especializada em fornecer expertise e soluções em desenvolvimento de tecnologia, ciência de dados e DevOps. Eles oferecem serviços de consultoria de CTO, atuando como parceiro para fortalecer estratégias tecnológicas e entregar soluções de software robustas adaptadas às necessidades de seus clientes. A Particle41 enfatiza a modernização das operações utilizando arquitetura em nuvem, integração de sistemas de software e aproveitamento de inteligência artificial para fornecer produtos digitais inovadores. Eles trabalham em estreita colaboração com as empresas para garantir a entrega pontual dos projetos, escalabilidade e manutenção da segurança dos dados. A Particle41 tem um foco especial em ajudar as empresas a melhorar sua vantagem competitiva por meio de soluções tecnológicas estratégicas e suporte contínuo.

Descrição

• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources. • Build and optimize data storage solutions, such as data lakes and data warehouses, to ensure efficient data retrieval and processing. • Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis. • Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes. • Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows. • Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical solutions. • Participate in requirement analysis sessions to understand business needs and user requirements. • Provide technical insights and recommendations during the requirements-gathering process. • Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews. • Work closely with Agile teams to deliver software solutions on time and within scope. • Adapt to changing priorities and requirements in a fast-paced Agile environment. • Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications. • Write unit tests and validate the functionality of developed features and individual elements. • Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements. • Identify and resolve software defects, code smells, and performance bottlenecks. • Stay updated with the latest technologies and trends in full-stack development. • Propose innovative solutions to improve the performance, security, scalability, and maintainability of applications. • Continuously seek opportunities to optimize and refactor existing codebase for better efficiency. • Stay up-to-date with cloud platforms such as AWS, Azure, or Google Cloud Platform. • Collaborate effectively with cross-functional teams, including testers, and product managers. • Foster a collaborative and inclusive work environment where ideas are shared and valued.

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, or related field. • Proven experience as a Data Engineer, with a minimum of 3 years of experience. • Proficiency in Python programming language. • Experience with database technologies such as SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases. • Strong understanding of Programming Libraries/Frameworks and technologies such as Flask, API frameworks, datawarehousing/lakehouse principles, database and ORM, data analysis databricks, panda's, Spark, Pyspark, Machine learning, OpenCV, scikit-learn. • Utilities & Tools: logging, requests, subprocess, regex, pytest • ELK stack, Redis, distributed task queues • Strong understanding of data warehousing/lakehousing principles and concurrent/parallel processing concepts. • Familiarity with at least one cloud data engineering stack (Azure, AWS, or GCP) and the ability to quickly learn and adapt to new ETL/ELT tools across various cloud providers. • Familiarity with version control systems like Git and collaborative development workflows. • Competence in working on Linux OS and creating shell scripts. • Solid understanding of software engineering principles, design patterns, and best practices. • Excellent problem-solving and analytical skills, with a keen attention to detail. • Effective communication skills, both written and verbal, and the ability to collaborate in a team environment. • Adaptability and willingness to learn new technologies and tools as needed.

🏖️ Benefícios

• Equal employment opportunities to all employees and applicants • Assistance during the application or interview process • Opportunity to work in a supportive and dynamic environment