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Popular mid-level data role, Hyderabad metro, mandatory AWS and broad skills, and hybrid setup drive high competition.
Core data engineering skills transfer well, but payments integrations and Oracle/SQL specificity raise domain sensitivity.
Explicit 5+ years requirement plus mandatory AWS and payments/Oracle expertise increases filter strictness.
Design, develop, and maintain scalable ETL pipelines and data models to support enterprise data warehouse and payment-related analytics including real-time transaction monitoring and fraud analysis.
Manage and optimize large-scale data systems using Oracle and SQL Server, integrating payment data from multiple platforms like Worldpay, Adyen, and Stripe, and automate payment reporting processes.
Collaborate with stakeholders to translate business needs into data models and actionable reports; maintain documentation and continuously improve data engineering practices.
5+ years of experience in Data Engineering role with mandatory AWS experience.
Strong experience with Oracle and SQL Server, including complex SQL and performance tuning.
Proven skills in designing and building ETL workflows for large-scale data warehouses.
Location: Hyderabad, Telangana, India; must work from office 2-3 times a week.
Experienced with payment processing flows, PSP integrations, and payment metrics such as conversion rate and chargeback rate.
Capable of handling ambiguous requirements and converting them into structured data solutions in a fast-paced environment.
Familiarity or experience with statistical modeling for forecasting and fraud analytics is preferred but not mandatory.