Senior data engineer

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

• 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

• A bachelors 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

• This is a 100% remote position
  
  

Employment Type

• CLT;
• Cooperado;
• PJ.
  
  

Our Benefits Include

• 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 *