- Strong experience in Teradata, Hadoop ecosystem (Hive, Impala), Unix/Linux scripting, and Control-M scheduling
- Experience with Financial Data Models (FSLDM / OFSAA / GCFR / Ktools / ETL frameworks)
- Proficient in SQL development, performance tuning, and data reconciliation
- Exposure to Python (data analysis, automation, or validation scripts)
- Experience with Big Data and cloud-based analytical platforms (Redshift / BigQuery preferred)
- Advanced knowledge of Excel-based reporting, reconciliation, and data analysis
Domain Experience (Mandatory)
- Minimum 8+ years of experience in Banking / Financial Services domain
- Strong exposure to: Finance & Risk reporting systems, Regulatory data (ECL, NPL, GL reporting), Financial instruments and banking product data and Enterprise Data Warehousing in banking environments
