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Data Validation Specialist - Remote

Posted 6 days ago
QA
Full Time
Brazil

Overview

We are seeking a highly skilled and experienced Data Validation Specialist to join our dynamic team. This role is crucial for ensuring the accuracy and functionality of our application dashboards, managing file-related errors, and facilitating successful data loads and transfers. The ideal candidate will possess a strong background in data validation, automation scripting, and ETL testing processes. As a Data Validation Specialist, you will play a key role in maintaining the integrity of our data systems and enhancing our data-driven decision-making capabilities.

In Short

  • Validate the accuracy and functionality of application dashboards.
  • Oversee the validation of inbound and outbound interfaces.
  • Identify, troubleshoot, and resolve file-related errors.
  • Understand and apply SFTP protocols for data movement.
  • Utilize Python scripting to automate validation tasks.
  • Familiarize with ETL testing processes.
  • Work closely with cross-functional teams.
  • Maintain comprehensive documentation of validation processes.
  • Identify opportunities for process improvements.

Requirements

  • Proven experience in validating data accuracy and functionality.
  • Strong understanding of file transfer processes.
  • Familiarity with SFTP protocols.
  • Proficiency in Python scripting.
  • Experience with ETL testing processes.
  • Strong knowledge of quality assurance practices.
  • Proficiency in Azure DevOps.

Benefits

  • Work with a dynamic and skilled team.
  • Opportunity to enhance data-driven decision-making capabilities.
  • Engage in continuous improvement initiatives.
  • Flexible working environment.
Thaloz logo

Thaloz

Thaloz is a forward-thinking company focused on leveraging data to drive business insights and enhance customer growth. With a commitment to developing innovative data solutions, Thaloz emphasizes the importance of data quality and governance while fostering a collaborative, data-driven culture across the organization. The company is dedicated to utilizing advanced technologies and methodologies to solve complex business problems and support the development of predictive analytics, ensuring that their data engineering practices align with industry best standards.

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