Freelance Principal Data Engineer - Remote Uruguay

Job Description

Seamless.AI is seeking a Freelance Principal Data Engineer to design, develop, and maintain scalable ETL pipelines. The ideal candidate will have expertise in Python, Spark, AWS Glue, and other ETL technologies. They should have a proven track record in data acquisition and transformation, as well as experience working with large data sets and applying methodologies for data matching and aggregation methodologies.

Responsibilities:

• Design, develop, and maintain scalable ETL pipelines.
• Work with stakeholders to understand data requirements.
• Implement data transformation logic using Python.
• Utilize AWS Glue to create and manage ETL jobs.
• Optimize ETL processes for performance and scalability.
• Apply data matching, deduplication, and aggregation techniques.
• Ensure compliance with data governance, security, and privacy best practices.
• Provide recommendations on emerging technologies.

Requirements:

• Strong proficiency in Python.
• Hands-on experience with AWS Glue or similar ETL tools.
• Solid understanding of data modeling and data warehousing principles.
• Expertise in working with large data sets and distributed computing frameworks.
• Strong proficiency in SQL.
• Familiarity with data matching, deduplication, and aggregation methodologies.
• Excellent communication and collaboration skills.
• Fluency in English and Spanish.
• Bachelor's degree in Computer Science or related field.
• 7+ years of experience as a Data Engineer.
• Professional experience with Spark and AWS pipeline development.

Seamless.AI offers:

• A 6-month or 12-month contract with the possibility of renewal.
• Compensation based on project milestones, deliverables, or a fixed contractual rate.