Database Administrator

5 days ago

New York, NY, United States HCL Global Systems Full time

Required:

  • 10+ years in banking and financial services, with a focus on IT and operations project management, knowledge of Core Banking products and payment architecture.
  • Bachelor's or Master's degree with computer science as a major concentration.
  • Knowledge of Banking solutions and applications integrated with banking solutions such as BSA/AML, ACH payments, transaction processing, loans booking, cash management and Private wealth management
  • Broad commercial and private banking experience
  • Experience with ServiceNow and auto ticketing implementation for database monitoring alerts
  • Windows PowerShell or Linux scripting experience
  • Experience with Always on Availability Groups (AG), HA-DR environment and advance database features such as Transparent data encryption (TDE), Policy management, Resource Governor, and Extended events
  • Experience with data platform tools such as Delphix to virtualize the database environment, dynamic data masking and DCT implementation
  • Experience with auditing, data architecture, data warehouse Azure Purview, SQL Server and AWS - Databricks or RedShift. performance tuning, ETL - SSIS tuning for faster loads on heavy volumes of data processing
Preferred:
  • Experience with Cohesity backup appliance, F5 Load balancer to route the sessions, Backup encryption and AWS - S3 storage gateway implementation to upload backups securely in AWS cloud
  • Experience with third party vendor based financial applications and collaboration with fintech experience to modernize, portfolio optimization and rationalization of the database estate
  • Oracle 12c, 19c or 21c database experience as secondary not mandatory
  • Experience with EMR, Glue, Amazon Quick Sight and data mesh implementation in AWS cloud
  • AWS cloud certification is vital to perform hybrid cloud, public cloud and private data centers. Nice to have exposure with Artificial Intelligence and Machine Learning experience in data engineering platform.

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