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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.
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.