Sr. QA ETL Tester

5 days ago


New York, United States VTal Technology Solutions Full time

Seeking a highly motivated and experienced Sr. QA ETL Tester for a hybrid contract role with a leading insurance firm in NYC or Jersey City.

In this role, you will play a crucial part in ensuring the quality and integrity of data warehousing and ETL processes. You will be responsible for developing and executing test plans, analyzing test results, and collaborating with developers to identify and resolve data-related issues.
Responsibilities:

  • Design, develop, and execute comprehensive test plans for ETL processes, covering data extraction, transformation, and loading.
  • Perform thorough data validation and reconciliation, ensuring data accuracy, completeness, and consistency across various sources and targets.
  • Write complex SQL queries to analyze and validate data within databases and data warehouses.
  • Develop and maintain test automation scripts using Python to improve testing efficiency and coverage.
  • Collaborate closely with developers, business analysts, and data architects to understand requirements, identify potential data quality issues, and provide feedback on data processes.
  • Clearly document test results, defects, and provide detailed analysis for effective issue resolution.
  • Stay abreast of industry best practices and emerging technologies in data testing and quality assurance.
Qualifications:
  • Proven experience in a QA ETL Tester role, with a strong focus on data warehousing and ETL testing.
  • Solid understanding of data warehousing concepts, ETL methodologies, and data quality best practices.
  • Expertise in writing complex SQL queries for data analysis and validation.
  • Hands-on experience with Unix/Linux operating systems and shell scripting.
  • Proficiency in Python scripting for test automation.
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
  • Experience in the financial services industry, preferably within the insurance sector.
  • Bachelor's degree in Computer Science or a related field.

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