Über
Design and maintain high-performance stored procedures, table-valued functions, and complex CTEs to handle large-scale financial transaction data. ETL & Integration:
Manage and optimize existing SSIS packages and ETL workflows to ensure seamless data movement between legacy systems and our reporting environments. Domain Expertise:
Apply deep knowledge of Clearing and Settlement logic, Merchant Pricing (Interchange, Tiered, etc.), and exposure to Chargeback processing workflows. Data Modeling:
Maintain and optimize relational databases, utilizing temp tables, table variables, and XML parsing where necessary to handle complex message formats. Modernization:
Assist in the transition of legacy data processes into
AWS Cloud and Databricks . You will be mentored and trained on these modern tools as we evolve our infrastructure. Required Technical Qualifications Expert-Level SQL:
7+ years of experience with T-SQL (Stored Procs, Views, CTEs, Functions). SSIS & ETL:
Proven track record of building and maintaining robust integration packages. XML Processing:
Experience working with XML within SQL Server (OpenXML, XQuery) to handle transaction payloads. Relational Database Design:
Deep understanding of indexing, normalization, and performance tuning for high-volume databases. Preferred Industry Experience TSYS Experience:
Strong preference for candidates who have worked with TSYS platforms or similar core processors. Settlement & Clearing:
A firm grasp of how money moves from a merchant's terminal to their bank account. Chargeback Management:
Understanding of the lifecycle of a disputed transaction. Bonus Points (We will train you on these!) Experience or interest in
Databricks/Spark . Familiarity with
AWS
(S3, Lambda, RDS). Experience with Python or PySpark.
Financial Technology or Card Payment Processing experience is a plus
Sprachkenntnisse
- English
Hinweis für Nutzer
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