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Tier-1 brand, metro role, mid-level generalist, and broad skillset increase applicant competition.
Core data engineering and analytics skills are broadly transferable, though payments/compliance adds some domain specificity.
Multiple mandatory technical skills and domain expectations increase filtering, though no strict years requirement.
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Drive data quality validation and pricing monitoring initiatives collaborating with compliance, data strategy, engineering, and business teams.
Design, develop, and maintain data ingestion pipelines, ETL workflows, dashboards, and reports to track data quality and pricing metrics across cloud and on-prem systems.
Support compliance and pricing strategy execution by gathering requirements, validating use cases, and ensuring data readiness for enterprise initiatives.
Proficiency in SQL; working knowledge of Python, Spark, and Hadoop.
Experience with data ingestion, ETL processes, cloud platforms (preferably Databricks), and automation tools.
Bachelor's degree in Data Science, Computer Science, or related field; Master's preferred.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in advanced data analysis and operational data management in complex data ecosystems involving cloud and on-premises systems.
Strategic thinker capable of balancing long-term architectural goals with immediate business priorities, supporting data modernization and governance.
Able to collaborate cross-functionally to improve data pipeline reliability, drive process improvements, and promote compliance-aligned insights.