Pleased to meet you, we are Zallpy.

We are much more than a technology company; we are a diverse, plural, and talented community. Our purpose is to lead digital transformation with excellence and agility, promoting mutual and genuine growth in ethical and long-lasting relationships. Flexibility is one of our trademarks; we operate in different team models and formats, maintaining our light, collaborative, and integrated culture, providing equitable opportunities in a space where everyone feels safe and heard.

What you will do:

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• Leverage strong SQL skills to manipulate, transform, and manage data;
  
• Work with both relational and key-value databases to ensure data accuracy and consistency;
  
• Utilize in-depth knowledge of dimensional modeling to create effective and efficient data structures;
  
• Develop features tailored for advanced data analysis and modeling;
  
• Design and implement robust data pipelines for seamless data collection, processing, and storage;
  
• Extract data from external sources by manipulating APIs;
  
• Use data processing tools like Pentaho, Streamsets, or equivalent platforms;
  
• Master Python and/or Java to create and deploy data engineering solutions;
  
• Apply version control best practices using Git;
  
• Understand the architecture of Data Platforms, Data Warehouses, and Data Lakes;
  
• Work with both SQL and NoSQL databases to manage and process data;
  
• Collaborate with cloud platforms, particularly Google Cloud services such as BigQuery, Cloud Storage, and Cloud Functions;
  
• Leverage DataOps tools to improve ETL processes and enable Self-Service Analytics;
  
• Ensure compliance with the General Data Protection Regulation (GDPR);
  
• Exhibit strong communication, problem-solving, and teamwork capabilities.
  

What we are looking for:

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• A bachelor’s or postgraduate degree in Computer Science, Computer Engineering, Statistics, Mathematics, or a related discipline;
  
• Proficiency in oral and written communication in English;
  
• Expertise in Geospatial data analysis and management;
  
• Strong command of SQL for effective data manipulation and transformation;
  
• Deep understanding of dimensional modeling concepts;
  
• Hands-on experience in feature engineering and managing relational and key-value databases;
  
• Proven ability to build data pipelines and utilize APIs for data extraction;
  
• Practical experience with ETL/ELT tools like Pentaho, Streamsets, or similar technologies;
  
• Proficiency in Python and/or Java for developing scalable data engineering solutions;
  
• Familiarity with version control systems, especially Git;
  
• Comprehensive understanding of Data Platforms, Data Warehouses, and Data Lake architectures;
  
• Experience working with both SQL and NoSQL databases;
  
• Experience with Google Cloud;
  
• Strong knowledge of DataOps tools to enhance ETL processes and support Self-Service Analytics;
  
• Awareness of the General Data Protection Law (LGPD);
  
• Excellent communication, problem-solving, and collaborative teamwork skills.
  

Where you will work: 

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• This is a 100% remote position
  

Employment type:

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• CLT;
  
• Cooperado;
  
• PJ.
  

Our benefits include: 

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• 100% remote work; Meal and/or food allowance in a flexible model (EVA card)*
  
• Unimed health insurance for employees and dependents*
  
• Uniodonto dental insurance for employees and dependents*
  
• Agreements with Educational Institutions for discounts on Undergraduate, Postgraduate, and short courses;
  
• Totalpass to take care of physical health;
  
• Zenklub to take care of mental health;
  
• Life insurance*
  
• Daycare assistance for zallpers with children aged 4 months to 6 years, who earn up to three times the minimum wage of the category*
  
• Baby Zallpy: a gift to celebrate the birth of zallpers’ babies;
  
• Communities: we support the operation of three voluntary zallpers communities: Diversity, Equity & Inclusion, Sports & Movement, and Technology.
  

Benefits valid for CLT type *