Senior Data Engineer

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dataroles

* Build and maintain ETL pipelines that feed the enterprise warehouse and analytical work * Model payment data for transaction monitoring, reconciliation, chargebacks and fraud analysis * Connect and standardize data from payment platforms, then investigate mismatches across systems * Create reporting on approvals, declines, disputes and interchange fees, while automating recurring work * Keep workflow, data dictionary and downstream service-level documentation current

* Design, develop, and maintain efficient and scalable ETL pipelines to support our enterprise data warehouse and analytical needs. * Build scalable data models to support real-time transaction monitoring, reconciliation, chargeback tracking, and fraud analysis. * Work with stakeholders across departments to understand business requirements and translate them into actionable data models and reports. * Manage and optimize large-scale data systems using Oracle and SQL Server. * Integrate and normalize payment data from diverse platforms (e.g., Worldpay, Adyen, Stripe). * Identify and troubleshoot data discrepancies between systems to support timely reconciliation and root cause analysis. * Build dashboards and reports to monitor approval rates, decline reasons, dispute trends, and interchange fee performance. * Drive automation in payment reporting processes to reduce manual effort and improve accuracy. * Maintain documentation of ETL workflows, data dictionaries, and SLA guarantees for downstream consumers. * Thrive in a fast-paced, ambiguous environment and help shape data strategy from the ground up. * Continuously improve data engineering practices and drive automation wherever possible.

* At least five years in data engineering, including hands-on AWS experience * Strong SQL skills and experience building ETL for large data warehouses * Experience with Python, Spark or another data transformation framework, plus Databricks * Working knowledge of payment flows, provider integrations and measures such as conversion or chargebacks * Understanding of data modeling and warehouse concepts, including star schemas or slowly changing dimensions