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Reputable financial firm, metro hiring, and broad data-automation skillset create high applicant competition.
Core Python, SQL, and BI skills are transferable, though finance domain knowledge mildly raises sensitivity.
Explicit 6–10 years and mandatory automation, SQL, Python, and Power Platform skills enforce strict screening.
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Design, develop, and maintain QA automation frameworks primarily using coding, with focus on Python and automation tools.
Build automated test scripts and collaborate with business and analytics teams to deliver scalable data quality and performance solutions.
Support ad-hoc data engineering tasks and process automation to ensure data quality and consistency across systems.
6 to 10 years of experience in data automation and quality assurance.
Proficiency in advanced automation skills and strong SQL understanding.
Hands-on experience with Python (basic skills), Power Automate, and Power BI.
Work Experience Required: 6 to 10 years
Experienced in designing and implementing robust QA automation frameworks using coding, especially Python.
Skilled in automation tools like Power Automate and Power BI for process automation and data visualization.
Comfortable working cross-functionally with business and analytics teams to translate requirements into scalable data engineering solutions.