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Mid-level, generalist data-engineer role in Hyderabad with common skills increases candidate competition.
Core data engineering skills transfer across industries, but payments and reconciliation expertise increases role specificity.
Mandatory 4+ years plus specific Oracle/SQL Server, ETL, and payments expertise narrows candidate pool.
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Design, develop, and maintain scalable ETL pipelines and data models supporting enterprise data warehouse and real-time transaction monitoring.
Manage and optimize large-scale data systems using Oracle and SQL Server, integrating payment data from multiple platforms and troubleshooting discrepancies.
Build dashboards and reports for payment metrics and drive automation in reporting to improve accuracy and efficiency.
4+ years experience in Business Intelligence or Data Engineering role.
Strong expertise in Oracle and SQL Server including complex SQL query writing and performance tuning.
Proven experience designing and building ETL workflows for large-scale data warehouses.
Working understanding of payment processing flows and PSP integrations; familiarity with data modeling techniques.
Experienced in handling ambiguous problem statements and converting them into structured data solutions.
Comfortable working in a fast-paced, evolving environment and contributing to data strategy development.
Skilled in stakeholder communication and managing cross-departmental requirements.