Data QA Tester - ETL & Cloud Pipelines

Accenture

Orlando (FL)

On-site

USD 96,000 - 110,000

Full time

4 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Long-term disability coverage
401(k) plan
Paid time off

Job summary

Accenture Flex is hiring a Functional Tester to drive data quality and pipeline excellence. You will develop reusable QA workflows, build scalable ETL pipelines, and deploy data solutions with cloud-based practices.

The role emphasizes data governance, compliance, and hands-on testing leadership within Accenture’s flexible-ondemand model. Join a diverse, skilled network across Accenture and contribute to innovative data solutions for clients, with onsite work in the local metro area and a

Qualifications

  • Minimum 5 of work experience in relevant related skills.
  • Expert proficiency in Zafin Solutions.
  • Expert proficiency in Test Execution and Management.
  • High School Diploma or GED.

Responsibilities

  • Develop reusable workflows for data ingestion QA, transformation and optimization.
  • Build scalable data pipelines using ETL tools.
  • Deploy data solutions into production environments for reliability.
  • Migrate data from legacy warehouses using cloud principles.
  • Automate data flows to support seamless data consumption.
  • Design business processes that support data governance and compliance.

Skills

Zafin Solutions
Test Execution
Agile Fundamentals
Business Process Mapping
Azure DevOps Test Plans
Data pipeline development
Cloud architecture principles

Education

High School Diploma or GED

Tools

Microsoft Azure DevOps

Job description

Accenture Flex is hiring a Functional Tester to drive data quality and pipeline excellence. You will develop reusable QA workflows, build scalable ETL pipelines, and deploy data solutions with cloud-based practices.

The role emphasizes data governance, compliance, and hands-on testing leadership within Accenture’s flexible-ondemand model. Join a diverse, skilled network across Accenture and contribute to innovative data solutions for clients, with onsite work in the local metro area and a

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