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Metro location, popular Data Engineer title, mid-level experience, and a recognized scaling brand increase applicant competition.
Core data engineering skills transfer across industries, though payments and reconciliation domain knowledge adds specialization.
Explicit 4+ years plus mandatory Oracle/SQL Server, ETL, and payments domain experience raises filtering strictness.
Design, develop, and maintain scalable ETL pipelines and data models to support enterprise data warehouse and real-time transaction monitoring.
Manage and optimize large-scale data systems using Oracle and SQL Server, including integration of payment data from multiple platforms.
Build dashboards and automate payment reporting processes while collaborating with stakeholders to translate business requirements into actionable data solutions.
4+ years of experience in Business Intelligence or Data Engineering role.
Strong proficiency in Oracle and SQL Server with complex SQL query writing and performance tuning.
Experience designing and building ETL workflows for large-scale data warehouses.
Location: Hyderabad, Telangana, India with requirement to work from office 2-3 times a week.
Experienced in payment processing flows, PSP integrations, and key payment metrics such as conversion and chargeback rates.
Able to handle ambiguous problem statements and convert them into structured data solutions, contributing to data strategy development.
Familiar with data modeling techniques (star/snowflake schemas, SCDs) and statistical modeling for forecasting and fraud analytics is a plus.