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Hybrid, metro mid-level data role with generalist skills and payment domain draws high applicant competition.
Core data engineering skills are transferable, but payments/PSP integration raises domain-specific sensitivity.
Explicit 4+ years plus mandatory Oracle/SQL Server, ETL and payments experience enforces strict screening.
Design, develop, and maintain scalable ETL pipelines and data models supporting payment processing, reconciliation, fraud analysis, and business intelligence needs.
Manage and optimize large-scale data systems using Oracle and SQL Server, including integration and normalization of payment data from multiple platforms.
Build dashboards and automate payment reporting processes, maintain documentation, and help shape data strategy in a fast-paced environment.
Minimum 4+ years experience in Business Intelligence or Data Engineering roles.
Strong expertise with Oracle and SQL Server, including complex SQL and performance tuning.
Proven experience designing and building ETL workflows for large-scale data warehouses.
Working knowledge of payment processing flows, PSP integrations, and key payment metrics (e.g., conversion rate, chargeback rate).
Experienced with data modeling techniques and data warehousing concepts like star/snowflake schemas and slowly changing dimensions.
Capable of managing ambiguity by converting vague requirements into structured data solutions, indicating strong problem-solving skills.
Able to communicate and engage effectively with stakeholders across departments, signaling collaborative working style in cross-functional teams.