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Freelance Principal Data Engineer

https://seamless.ai/ Logo

Seamless.AI

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Location:
Mexico

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Category:
IT - Software Development

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Contract Type:
B2B

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Salary:

Not provided

Job Description:

At Seamless.AI, we’re seeking a highly skilled and experienced Freelance Principal Data Engineer with expertise in Python, Spark, AWS Glue, and other ETL (Extract, Transform, Load) technologies. The ideal candidate will 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. This independent contractor role requires exceptional organizational skills and the ability to work autonomously while delivering high-quality solutions.

Job Responsibility:

  • Design, develop, and maintain scalable ETL pipelines to acquire, transform, and load data from various sources into the data ecosystem
  • Work with stakeholders to understand data requirements and propose effective data acquisition and integration strategies
  • Implement data transformation logic using Python and relevant frameworks, ensuring efficiency and reliability
  • Utilize AWS Glue or similar tools to create and manage ETL jobs, workflows, and data catalogs
  • Optimize ETL processes to improve performance and scalability, particularly for large datasets
  • Apply data matching, deduplication, and aggregation techniques to enhance data accuracy and quality
  • Ensure compliance with data governance, security, and privacy best practices within the scope of project deliverables
  • Provide recommendations on emerging technologies and tools that enhance data processing efficiency

Requirements:

  • Bachelor's degree in Computer Science, Information Systems, related fields or equivalent years of work experience
  • 7+ years of experience as a Data Engineer, with a focus on ETL processes and data integration
  • Professional experience with Spark and AWS pipeline development required
  • Fluency in English and Spanish is required

Nice to have:

  • Experience developing and training machine learning models
  • Familiarity with data matching, deduplication, and aggregation methodologies
  • Experience with data governance, data security, and privacy practices

Additional Information:

Job Posted:
May 23, 2025

Work Type:
Remote work
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