Data ETL Tester - 6031355

AccentureNew York, NY
5d$42 - $52Onsite

About The Position

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Key Responsibilities: A Data/ETL Tester is responsible for validating data extraction, transformation, and loading (ETL) processes to ensure data accuracy, integrity, and compliance with business requirements. This role involves designing test plans, executing test cases, and collaborating with developers, data engineers, and analysts to maintain high-quality data pipelines.

Requirements

  • A minimum of 5 years of ETL Testing Experience
  • Proficiency in SQL and database concepts.
  • Experience with ETL tools
  • Familiarity with data warehousing concepts (star schema, snowflake).
  • ⁠Strong analytical and problem-solving abilities
  • ⁠Excellent communication and documentation skills.

Nice To Haves

  • Proficiency in SQL and database concepts.
  • Bank Experience
  • Familiarity with data warehousing concepts star schema, snowflake
  • Strong analytical and problem solving abilities
  • Excellent communication and documentation skills.

Responsibilities

  • Analyze Requirements: Review business requirements and data mapping documents to define test objectives.
  • Design Test Plans: Create detailed ETL test plans, test cases, and test data for structured testing.
  • Validate ETL Processes: Ensure data is correctly extracted, transformed, and loaded into target systems.
  • Execute SQL Queries: Perform backend database testing and data verification.
  • Defect Management: Identify, log, and track defects using tools like JIRA or HP ALM; work with development teams for resolution.
  • Documentation: Prepare detailed test reports and maintain test repositories.
  • Compliance: Ensure adherence to data governance and quality standards.
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