At a Glance
- Tasks: Lead automated migration testing and ensure data integrity during the eFront to Databricks transition.
- Company: Morgan McKinley, a leading recruitment agency in the finance sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and excellence.
- Why this job: Be at the forefront of data quality in a cutting-edge migration project.
- Qualifications: Experience in data QA, automation frameworks, and strong SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
Morgan McKinley seeks a hands-on Senior Data QA / Data Quality Engineer to lead automated migration testing for an investment firm's eFront to Azure Databricks Lakehouse migration. You will own source-to-target reconciliation, validate financial calculations, and ensure 100% data integrity across Bronze/Silver/Gold layers.
Responsibilities include:
- Building automated frameworks with PyTest, PySpark, and advanced SQL
- Integrating checks into Azure DevOps pipelines
- Monitoring schema drift
Senior Data QA Engineer: eFront to Databricks Migration in London employer: Morgan McKinley
As a leading international savings and investments business with over a century of experience, we pride ourselves on fostering a supportive and inclusive work environment that prioritises employee well-being and professional growth. Our flexible working arrangements and commitment to workplace accommodations ensure that you can thrive in your role as the Group Financial Crime Policy and Standards Manager, while contributing to our mission of delivering exceptional financial outcomes for our clients. Join us to be part of a dynamic team that values collaboration, innovation, and integrity in the financial sector.
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We think you need these skills to ace Senior Data QA Engineer: eFront to Databricks Migration in London
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