Quality Assurance Analyst

10 Months ago • 3 Years +

Quality Assurance

Job Description

The Data Quality Assurance (QA) Engineer will test data transformations and data ingested into the Enterprise Data Warehouse (EDW) from various domains. Responsibilities include developing test automation for large data volumes, creating test strategies and cases, executing tests, tracking bugs, and ensuring compliance. The role involves collaborating with data engineers and analysts to clear data solutions for release and working with cloud technologies like Snowflake and AWS. The ideal candidate will have strong SQL skills, experience with QA methodologies, and expertise in test automation using tools like Python.

Good To Have:

AWS or Azure experience
SaaS environment (Snowflake, Fivetran)
BI Tools (Power BI, Tableau)
DevOps concepts
Unix knowledge
Salesforce experience

Must Have:

3+ years data testing & automation
Strong scripting (Python, Java)
Expert SQL skills
QA methodologies & Agile
Test execution & bug tracking
BI Report testing
Data privacy & security knowledge

Add these skills to join the top 1% applicants for this job

salesforce

aws

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python

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java

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unix

tableau

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innovation

About the job

Why Choose Bottomline?

Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 30 years of experience and moving more than $10 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team!

Position Summary:

The Data Quality Assurance (QA) Engineer will work on testing data transformations and data that is ingested into Enterprise Data Warehouse (EDW) from various domains such as Marketing, HR and Finance.

Along with data testing in the EDW, the Data QA Engineer will work on developing automation to test large volumes of data from different sources. The Data QA Engineer Data will be responsible for test strategies, test case creation, test execution, bug tracking and ensuring adherence with compliance requirements.

The Data QA Engineer on our Enterprise Data & Business Intelligence team will get to work on best-in-class cloud technologies (Snowflake, Fivetran, AWS, Azure, Salesforce etc) and will provide the continuous automated and manual tests that will support our teams' ability to make data-driven decisions.

In partnership with our data engineers and analysts, he/she will serve as the point person responsible for clearing data solutions for release.

Essential Job Functions:

Collaborate with our BI team to understand technical design, develop & execute data quality and testing strategies.

Creating reusable test automation through the use of tools and scripts (like Python, shell script etc.)

Create and perform data tests

Data testing in EDW, DWH and BI Report

Data transformation, Data Quality, Pipleine testing of both ETL and ELT forms

Monitor and own QA reporting for our corporate data stack

Assist in troubleshooting data-related issues

Ensure compliance with data privacy and security regulations

Required Skills:

Bachelor's degree or equivalent work experience.

At least 3 years of data testing and data test automation

Strong scripting skills in one or more programming languages (e.g., Python, Java etc.).

Expert level knowledge in writing complex SQLs

Good understanding of QA methodologies, life cycle processes and agile development

Expert understanding of test execution, evidence collection and bug tracking – have previously used tools such as ALM, Jira or similar

Good experience in BI Report testing

Ability to work as Individual contributor and in a team

Good verbal and written communication and collaboration skills.

Familiarity with data privacy and security regulations.

Ability to learn and adapt to new technologies and tools quickly.

Strong analytical and problem-solving skills.

Preferred Skills

Understanding of cloud technologies in AWS or Azure

Experience in a SaaS environment – Snowflake, Fivetran, Lambda, AWS, Talend, Open-Source Tools

Good familiarity BI Tools – Power BI, Tableau

Familiarity with DevOps concepts

Unix knowledge

Prior experience of using CRM Technologies such as Salesforce

Education and Experience:

Bachelor's or equivalent work experience

We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.

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