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)

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

Principal Consultant

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