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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• Apply advanced SQL skills to manipulate and transform data;
  
• Work with relational and key-value databases to ensure data quality and integrity;
  
• Leverage strong knowledge of dimensional modeling to create efficient data structures;
  
• Develop key features for data analysis and modeling;
  
• Build efficient data pipelines for data collection, processing, and storage;
  
• Utilize APIs to extract data from external sources;
  
• Work with tools like Pentaho, Streamsets, or similar for data processing;
  
• Use Python and/or Java to implement data engineering solutions;
  
• Use Git for version control;
  
• Understand Data Platform, Data Warehouse, and Data Lake architecture;
  
• Handle SQL and NoSQL databases;
  
• Work with cloud services, especially Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions);
  
• Apply knowledge of DataOps tools to enhance ETL processes and Self-Service Analytics;
  
• Ensure compliance with the General Data Protection Regulation (GDPR);
  
• Demonstrate strong communication, problem-solving, and teamwork skills.
  

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 field;
  
• Excellent oral and written communication skills in English;
  
• Expertise in SQL for data manipulation and transformation;
  
• Strong understanding of dimensional modeling;
  
• Experience in feature engineering and managing relational and key-value databases;
  
• Proven experience in building data pipelines and handling APIs for data extraction;
  
• Practical knowledge of ETL/ELT tools like Pentaho, Streamsets, or similar;
  
• Proficiency in Python and/or Java for developing data engineering solutions;
  
• Familiarity with version control tools, especially Git;
  
• Understanding of Data Platform, Data Warehouse, and Data Lake architecture;
  
• Experience working with both SQL and NoSQL databases;
  
• Experience with Google Cloud;
  
• Strong knowledge of DataOps tools to optimize ETL processes and Self-Service Analytics;
  
• Familiarity with the General Data Protection Regulation (GDPR);
  
• Excellent communication, problem-solving, and 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 *