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Mid-level generalist role, metro Hyderabad location, and 4+ years requirement increase qualified applicant density.
Core data engineering skills are transferable, but payments integrations and Oracle/SQL specifics raise domain sensitivity.
Mandatory 4+ years plus specific Oracle/SQL Server and payments domain skills increase screening rigor.
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Design, develop, and maintain scalable ETL pipelines and data models supporting payment transaction monitoring, reconciliation, and fraud analysis.
Manage and optimize large-scale data systems using Oracle and SQL Server, integrating diverse payment platform data.
Build dashboards and automate payment reporting processes to improve accuracy and reduce manual effort, while documenting workflows and SLAs.
4+ years of experience in Business Intelligence or Data Engineering roles.
Strong expertise in Oracle and SQL Server, including complex SQL 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 (e.g., conversion rate, chargeback rate).
Experienced in ambiguous environments, able to translate unclear requirements into structured data solutions.
Knowledgeable about data modeling techniques and data warehousing concepts (star/snowflake schemas, slowly changing dimensions).
Capable of stakeholder management and building reporting solutions for cross-departmental use cases involving payments and fraud analytics.