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ETL​/Data tester

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Info-Ways
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Data Engineer, Data Analyst, Database Administrator
Salary/Wage Range or Industry Benchmark: 35 - 55 USD Hourly USD 35.00 55.00 HOUR
Job Description & How to Apply Below

Role: ETL/Data tester

Location:

Phoenix, AZ
Duration: 6+ Months

Only GC or Citizens
. Background verification will be performed for selected candidates.

Responsibilities & Qualifications
  • 5-8 Years of Software Quality Assurance experience on enterprise-level applications, including Data Warehouse Testing.
  • Experience writing complex SQL queries and evaluating the testability of requirements to create comprehensive test plans.
  • Ability to determine necessary testing types (data validation, regression, etc.) and support business and technological solutions.
  • Experience testing multiple phases in medium to large projects.
  • Clear understanding of data warehouse and data mart testing.
  • Strong test process orientation and familiarity with test scenario identification and test data preparation techniques.
  • Thorough knowledge of the Software Test Life Cycle, Test Case Life Cycle, Defect Life Cycle, and proficiency with test case preparation and execution.
  • Extensive exposure to back‑end/ETL testing with advanced SQL skills.
  • Experience using the Informatica suite of tools, including Power Center, Workflow Manager, Workflow Monitor, and Power Exchange.
  • Informatica DVO experience and familiarity with data masking methodologies.
  • Experience with large data sets and understanding of a Data Quality Framework.
  • Proficiency in data analysis, profiling, auditing, balancing, and reconciliation within an IT operating environment.
  • Experience with Oracle, SQL Server, and Linux.
  • Defect tracking experience (e.g., Jira, Clear Quest, HP Service Center).
  • Ability to tune SQL queries, stored procedures, and views for performance improvements.
  • Knowledge of data models and entity‑relationship diagrams.
  • Familiarity with metadata management tools.
  • Strong multi‑tasking skills, adaptability to change, and urgency in task completion.
  • Detail‑oriented with an analytical mindset.
Application Instructions

Please provide your resume and the requested details below:

  • Full Name
  • Work Authorization
  • Contact Number
  • Email
  • Skype
  • Current location
  • Willing to relocate
  • Rate/hr
Additional Information

All your information will be kept confidential according to EEO guidelines.

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