Description

You will ensure the quality of a customer-facing analytics platform and the accuracy of its underlying data.

Responsibilities

  • Identify, scope, and resolve data quality issues to improve overall data integrity.
  • Set quality standards and develop comprehensive test cases.
  • Build and automate procedures to execute data quality tests.
  • Test data pipelines and process large volumes of data for quality assurance.
  • Create dashboards to track data quality measurements and KPIs.

Required Skills

  • 5+ years of experience in quality automation and data engineering.
  • Expertise in Python and Shell scripting.
  • Expert-level SQL skills.
  • Experience with automation tools for web-based applications, specifically Selenium, Cypress IO, or Protractor.
  • Experience testing large-scale data volumes and data pipelines.
  • Hands-on experience with AWS services including S3, Athena, and Lambda functions.
  • Background in data analytics and designing data quality automation.
  • Degree in any discipline (Any Graduate).

Preferred Skills

  • Experience with Spark.

Key Skills
Education

Any Graduate

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