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Metro location and recognizable brand increase competition, but specialized Databricks/PySpark data-testing skills limit applicant pool.
Requires data-testing, PySpark and Databricks experience and financial services knowledge, reducing cross-industry transferability.
Explicit 6-10 years plus mandatory automation, PySpark, Databricks, and Azure requirements make filters stringent.
Plan and govern test phases (ST/SIT/UAT) including managing entry/exit criteria and producing test completion reports to recommend go/no-go decisions.
Design and execute data/ETL testing using SQL to validate finance data transformations, reconciliations and quality; lead automation test script/framework development.
Support UAT readiness and execution coordinating with business SMEs; define test data requirements; continuously improve test strategies and reusable assets across Finance Data changes.
6-10 years total experience with 5+ years as a Senior Automation Engineer.
Strong hands-on expertise in automated testing frameworks supporting data testing and test management tools (JIRA/Zephyr).
Proficiency in Programming Languages: Python (PySpark), SQL, Scala; Experience with Azure Cloud and Databricks platform is mandatory.
Bachelor’s or Master’s degree in IT; Azure Data platform certifications are a plus.
Experienced in finance data testing projects within the financial services industry, familiar with Agile (Scrum/Kanban) development environments.
Ability to develop and execute ongoing test strategies balancing technology, resources, and stakeholder engagement independently under pressure.
Skilled in reporting concise management information on testing progress and risks to stakeholders and driving improvements in automation and test data strategies.