Data Engineer – Regulatory Affairs & Quality Medicine

• Design, develop, and maintain scalable ETL/ELT pipelines and data integrations using Python/PySpark, SQL, AWS, and Snowflake.
  
• Work with AWS services (S3, Lambda, Glue) and Snowflake for data ingestion, transformation, modeling, and performance optimization.
  
• Support data integration workflows, including SnapLogic where applicable.
  
• Implement coding best practices, version control (Git), CI/CD processes, and automated testing.
  
• Ensure data quality, governance, lineage, and metadata management across data solutions.
  
• Monitor, troubleshoot, and optimize data pipelines in cloud-based, distributed, and containerized environments.
  
• Collaborate with cross-functional teams, taking ownership of delivery from requirements gathering through deployment and ongoing support.
  

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data/Information Systems, or a related field.
  
• Over 5 years of professional experience in Data Engineering, Analytics Engineering, or similar data-focused roles, including hands-on development and maintenance of cloud-based data pipelines in production environments.
  
• Strong programming skills in Python/PySpark and SQL, including data transformation and optimization.
  
• Practical experience with AWS (S3, Lambda, Glue) in production environments.
  
• Hands-on experience with Snowflake, including data warehousing, modeling, ingestion, and performance optimization.
  
• Solid understanding of ETL/ELT architectures, data modeling, Git, CI/CD, automated testing, and production monitoring.
  
• Familiarity with data governance, data quality, metadata management, and data lineage.
  
• Strong communication skills, fluent English, and a proactive, autonomous, problem-solving mindset.
  
  

• Experience with SnapLogic or other iPaaS integration platforms.
  
• Familiarity with Collibra or similar data governance and metadata management tools.
  
• Experience working in Agile environments and with containerized or distributed data solutions.
  
• Spanish language skills.
  
• Previous experience in pharmaceutical, Regulatory Affairs, or Quality Medicine data domains.
  

• Duration: 6–12 months.
  
• Working model: Fully remote.
  

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