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Mid-level data engineer in Hyderabad, common title and metro location increase applicant competition.
Transferable data engineering skills, but payments/PSP integration requirement increases industry specificity.
Requires 4+ years, mandatory Oracle/SQL Server ETL and payments domain expertise, making filters stringent.
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Design, develop, and maintain scalable ETL pipelines and data models to support enterprise data warehouse and payment transaction analytics.
Manage and optimize large-scale data systems (Oracle, SQL Server) and integrate payment data from platforms like Worldpay, Adyen, and Stripe for real-time monitoring and fraud analysis.
Build dashboards and automate payment reporting processes to improve accuracy and reduce manual effort, while maintaining documentation of workflows and SLAs.
4+ years of experience in Business Intelligence or Data Engineering roles.
Strong Oracle and SQL Server skills including complex query writing and performance tuning.
Experience designing and building ETL workflows for large-scale data warehouses.
Working understanding of payment processing flows, PSP integrations, and key payment metrics (conversion rate, chargeback rate).
Experience working with cross-functional teams to translate ambiguous business requirements into structured data solutions and reports.
Comfortable in fast-paced, ambiguous environments and driving data engineering best practices and automation.
Familiar with data modeling techniques (star/snowflake schemas, SCDs) and payment domain analytics, including forecasting and fraud analytics.