Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level metro role at a known financial firm but specialized data automation skills limit broad applicant pool.
Automation and data-testing skills are transferable, but finance domain familiarity requirement increases industry specificity.
Explicit 6-10 years plus mandatory automation, PySpark/Scala, Azure Databricks and SQL create high shortlisting strictness.
Plan and govern test phases (ST/SIT/UAT) including entry/exit criteria, evidence collection, and sign-off.
Design, execute and automate data/ETL testing covering validation, reconciliation, and data quality using SQL and test automation frameworks.
Manage test data planning, coordinate UAT readiness and execution, produce test reports with metrics and improvement recommendations.
6-10 years of experience, including 5+ years as a Senior Automation Engineer.
Strong hands-on experience with test automation frameworks and tools for data testing; programming skills in Python (PySpark), SQL, Scala mandatory.
Experience with Azure Cloud and Databricks Platform, Agile development (Scrum/Kanban), and task tracking tools such as JIRA/Zephyr.
Bachelor’s or master’s degree in IT; Azure Data platform certification is a plus.
Technical leader able to define and manage comprehensive test strategies for complex data platforms under resource and technology constraints.
Experienced in continuous delivery environments with capability to manage scope per iteration and maintain independence under conflicting pressures.
Strong communication skills to credibly engage stakeholders and partner with business analysts ensuring requirements testability.