Data Quality & Testing Specialist (Azure DevOps)

Accenture; Houston (TX); On-site; USD 96,000 - 110,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Paid time off

World-class learning resources

Job summary

Accenture Flex offers you the flexibility of local fixed-duration project-based work within a leading global professional services company. As a Functional Tester, you will develop reusable workflows, build scalable data pipelines, and deploy data solutions to production, ensuring reliability and efficiency across engagements locally in your metro area.

You will contribute to data governance and quality, migrate from legacy data warehouses, and leverage cloud architecture principles, with

Qualifications

• Minimum 5 years 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 quality assurance transformation and optimization.
• Build scalable data pipelines using extract transform and load tools.
• Deploy data solutions into production environments ensuring reliability and efficiency.
• Migrate data from legacy data warehouses applying cloud architecture principles.
• Automate data flows to support seamless data consumption.
• Design and implement business processes that support data governance.
• Advise on data quality rules and establish effective data compliance policies.

Skills

Zafin Solutions

Test Execution

Agile Fundamentals

Education

High School Diploma or GED

Tools

Azure DevOps

Job description

Accenture Flex offers you the flexibility of local fixed-duration project-based work within a leading global professional services company. As a Functional Tester, you will develop reusable workflows, build scalable data pipelines, and deploy data solutions to production, ensuring reliability and efficiency across engagements locally in your metro area.

You will contribute to data governance and quality, migrate from legacy data warehouses, and leverage cloud architecture principles, with