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