Hands on experience in Teradata, Hadoop ecosystem (Hive, Impala), Unix/Linux scripting, and Control-M scheduling Extensive 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) 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