ETL Tester -- Retail domain in recent Projects

Houston, TX, US • Posted 1 day ago • Updated 1 day ago
Contract Corp To Corp
Contract W2
Contract Independent
On-site
Up to $60/hr
Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Job Details

Skills

  • Artificial Intelligence
  • ETL QA
  • Extract
  • Transform
  • Load
  • Management
  • Marketing
  • Meta-data Management
  • Load Testing
  • Modeling
  • Offshoring
  • Quality Assurance
  • Retail
  • Data Loading
  • Data Quality
  • Data Structure
  • Data Validation
  • Database
  • Database QA
  • Collaboration
  • Test Cases
  • Test Plans
  • Test Scripts
  • Testing
  • Workflow

Summary

Role: *ETL Tester* -- *Retail domain in recent Projects*

Location: Houston, TX // Dublin, CA Day 1 Onsite *Locals*

Experience: 12+ Years

Mandatory Skills & Experience

  • Lead and manage teams in an Onsite Offshore model.
  • Ensure adherence to QA processes and best practices.
  • Leverage AI for automation in testing workflows is Must
  • Perform database testing with strong expertise in ETL concepts and ETL testing.
  • Work extensively on end-to-end flows within retail domain marketing systems
  • Strong QA process knowledge.
  • Hands-on experience with database testing and ETL testing.
  • Recent project experience with retail clients (back-end systems).
  • Deep understanding of retail domain marketing systems and end-to-end flows.
    Review requirements and prepare the Test Plan

Develop and execute ETL test plans, test cases, and test scripts to validate the

accuracy and integrity of data throughout the ETL process

Verify data mappings, transformations, and data loading processes to ensure they

meet business requirements

Should have various types of ETL testing experiences include Metadata Testing, Data

Completeness Testing, Data Accuracy Testing, Data Transformation Testing, Data

Quality Testing, Initial/Incremental load testing

Validates data by running queries in the database and verifying that the results match

the expectations

Perform data reconciliations between source and target systems

Demonstrate strong knowledge of dimensional modelling and data warehouse

concepts, including star schemas, snowflakes, dimensions, and facts

Collaborate with data architects and development team / engineers to design and

implement efficient data structures to ensure the quality of testing by providing data

validation expertise

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91139932
  • Position Id: 8951619
  • Posted 1 day ago
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