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Tier-1 brand, metro location, and broad data skillset drive high candidate competition.
Expertise in payments compliance, enterprise data quality and pricing makes industry-specific background highly important.
Mandatory SQL/ETL/cloud/Databricks and compliance domain requirements create strict technical and domain filters.
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Drive data quality validation, pricing monitoring, and insight generation using SQL, ETL tools, and cloud platforms within the Enterprise Data Quality team.
Lead design and development of data ingestion pipelines and ETL workflows across cloud and on-premises systems to support GCO pricing strategy and compliance.
Develop and maintain dashboards, reports, and documentation to track data quality, pricing metrics, and support strategic compliance decisions while collaborating across business and technical teams.
Bachelor’s degree in Data Science, Computer Science, or related field (Master’s preferred).
Proficiency in SQL; working knowledge of Python, Spark, and Hadoop; experience with ETL processes and workflow automation.
Familiarity with cloud architectures (preferably Databricks), cloud-based data storage and processing technologies, and data visualization tools (preferably Power BI).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in executing complex data quality and pricing monitoring initiatives with compliance alignment, indicating strategic cross-functional collaboration ability.
Skilled in employing advanced data analysis and automation to inform business decisions and improve operational workflows.
Possesses a strategic mindset balancing long-term architectural goals with short-term business priorities and is familiar with data ecosystems and data management principles.