Automation Test Engineer
Summary
Automation Test Engineer validating ETL pipelines, data warehouses, and backend systems using SQL and Python on AWS/Databricks cloud platforms within an Agile Scrum team.
The Automation Test Engineer will be responsible for ensuring the quality, integrity, and reliability of enterprise data warehouse applications, ETL pipelines, and backend systems. The role involves validating data transformations, developing automated testing solutions, performing database testing, and ensuring accurate reporting across cloud-based data platforms. Working within an Agile Scrum team, the engineer will collaborate with developers, data engineers, and business analysts to deliver high-quality, scalable data solutions.
This role is ideal for a QA professional with strong expertise in database testing, ETL validation, backend automation, and cloud- based data platforms, who is passionate about delivering high- quality, reliable enterprise data solutions.
The Work:
- Perform ETL, backend database, and data warehouse testing.
- Develop and execute manual and automated test cases for data pipelines and backend applications.
- Validate source-to-target data transformations, business rules, and data quality using SQL.
- Design ,developand maintain automation frameworks for ETL, database, and regression testing using Python and SQL.
- Execute data validation, reconciliation, row count, aggregate, and data integrity testing.
- Validate cloud-based data platforms including AWS, Databricks, Redshift, Amazon S3, and RDS.
- Develop test plans based on business requirements and acceptance criteria.
- Collaborate with cross-functional Agile teams to support sprint planning, defect resolution, and release validation.
- Participate in system integration, regression, and performance testing.
- Identifydefects, perform root cause analysis, and recommend process improvements.
Here’s What You Need:
- Bachelor's Degree or equivalent experience 8 Years experience
- 5 years of Test Automation experience
- Experience developing test plans through data driven testing
- Experience in ETL Testing, Backend Database Testing, and Data Validation.
- Strong SQL skills using Oracle, SQL Server, PostgreSQL, MySQL, or Redshift.
- Experience developing manual and automation testing solutions.
- Hands-on experience with AWS cloud services, Databricks, and data warehouse environments.
- Experience creating data-driven test plans and validatinglarge datasets.
- Strong analytical, problem-solving, and troubleshooting skills.
Bonus If You Have:
- Databricks and Amazon Redshift
- Python, SQL, PySpark, Java, or C#
- Selenium, PyTest, TestRail
- Stored Procedures, Functions, and Database Performance Testing
- AWS IAM, Amazon RDS
- REST API testing and CI/CD pipelines
- Healthcare or CMS data experience
- Agile/Scrum methodology
Eligibility Requirements:
US Citizenship required
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
As published by greenhouse
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