Media.Monks

Media.Monks

Media.Monks is a disruptive global powerhouse connecting content, data, and digital media services to lead brands into a new digital era.

Media
5K-10K
Founded 2001

Description

  • Design, develop, and maintain automated data validation and quality assurance frameworks for data ingestion pipelines.
  • Build and implement automated integrity checks to ensure ingested data is accurate, complete, consistent, and reliable.
  • Identify gaps in existing data workflows and engineer scalable automation solutions to improve data quality and operational efficiency.
  • Write and optimize complex SQL queries for data analysis, validation logic, pipeline monitoring, and integrity checks.
  • Transform and process large datasets using distributed data frameworks such as PySpark or Snowpark.
  • Collaborate with data engineers, analysts, client stakeholders, and cross-functional teams to define quality standards and automated testing strategies.
  • Advise clients on automation, data engineering, and data integrity best practices.
  • Contribute to continuous improvement of pipeline tooling, processes, documentation, and engineering standards.
  • Support agile delivery by communicating technical risks, recommendations, and progress to technical and non-technical stakeholders.
  • Perform other duties as assigned.

Requirements

  • 8+ years of relevant experience in backend engineering, automation engineering, data engineering, or a related QA/data quality role.
  • B2+ English level.
  • Strong Python proficiency, including hands-on experience with data analytics frameworks such as Pandas.
  • Experience with distributed data transformation frameworks, specifically PySpark or Snowpark.
  • Strong command of SQL and data querying patterns across relational and analytical databases.
  • Proven ability to design and implement automated data validation, data integrity, and data quality checks at scale.
  • Solid understanding of data ingestion patterns, pipeline architecture, data transformation, and backend system design.
  • Experience working directly with clients or stakeholders and translating business needs into scalable engineering solutions.
  • Excellent problem-solving, analytical, and communication skills in a fast-paced, agile environment.
  • Preferred: experience with MongoDB or other document-based databases.
  • Preferred: familiarity with dbt for data transformation and modeling.
  • Preferred: experience with Snowflake as a cloud data platform.
  • Preferred: knowledge of CI/CD pipelines and DevOps practices as applied to data workflows.
  • Preferred: experience with RPA for automation tasks.

Benefits

  • Remote work from Colombia.
  • Contractor role for 3 months with possibility of extension based on project needs.
  • Opportunity to work on AI-powered transformation projects for Fortune 100 clients.
  • Inclusive hiring commitment, including available spaces for people with disabilities in compliance with Colombian law.
  • Equal-opportunity employer with a respectful and empowering work environment.

Interested in this position?

Apply directly on the company website

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