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Strong global brand, metro location, and mid-level generalist data role with common skills increases competition.
Requires Databricks/PySpark and ETL domain expertise, moderately transferable across industries.
Mandatory 6+ years plus Databricks, PySpark, SQL, and ETL experience makes filters strict.
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Own data quality testing tasks including identifying and resolving data quality issues.
Provide quality control approval for tested artifacts and update Azure dashboards regularly.
Coordinate with onshore/offshore teams to ensure timely issue resolution and communication to users.
6+ years of experience with primary focus on Data Quality or QA testing.
Strong skills in complex SQL query data analysis and test automation scripting (tool or manual).
Hands-on experience with Databricks (Medallion Architecture), Python, PySpark, Oracle Data Warehouse, ETL processes both on-prem and cloud.
Experience with Azure DevOps or JIRA for defect management and issue resolution; exposure to complex file systems like Nested JSON and XML.
Experienced in leading onshore/offshore teams to manage data quality projects.
Proficient in coordinating cross-functional teams and communicating effectively in fast-paced environments.
Strong analytical and problem-solving skills with attention to detail and ability to work independently under pressure.