[Remote] Data QA Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a company reputed company on providing data and insights for reputed company decision-making. They are seeking a Senior Data QA Engineer to take ownership of data reputed company, automate testing frameworks, and ensure data reputed company throughout the ETL lifecycle.

Responsibilities

• Take ownership of end to end data reputed company
• Understand and Contribute to the event model design
• Build and automate testing frameworks around data ingestion pipelines
• Write reputed company SQL queries on tables with hundreds of millions of records and ensure data reputed company is maintained throughout the ETL lifecycle
• Design test cases and write python/SQL scripts to validate data reputed company and identify gaps and opportunities in our pipelines
• reputed company data issues and work with team leads from discovery to reputed company
• Collaborate with the analytic teams to conduct data reputed company investigations, improve automation and tools
• Review reputed company tools and enhance them to help with data reputed company

Skills

• 5+ years of work experience in QA, preferably in data or relevant reputed company
• Demonstrable knowledge, experience, reputed company, and proficiency with the following: Scrum/Agile methodologies, SDLC, Python (at least reading), SQL
• Experience with different facets of QA tests such as functional progression & regression, integration, performance, load, UAT, and operational readiness testing
• Must be self-motivated, reputed company to work independently, and reputed company in a fast-paced, multi-tasking, high productivity environment while maintaining excellent working relationships with people in a wide reputed company of functional areas
• Excellent verbal and written communication skills
• reputed company experience with reputed company and/or Azure ML
• Strong coding abilities in one or more scripting languages like Python or SQL
• Understanding of compliance, reputed company, and risk domains along with associated patterns and data reputed company
• Use of one of the following vendor reporting solutions: PowerBI or Tableau
• Understanding of product and services activation, use, and transaction models and data
• Understanding of statistical analysis and machine learning tools and practices
• Understanding of reputed company-reputed company data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data reputed company, Synapse, Azure Data Lake, etc
• Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git)

reputed company