Data Engineer - SAS - Banking

VAM Systems

Experience Required:

Experience in the following tools (3+ years)

• SAS Management Console
• SAS DI, SAS Enterprise Guide
• Base SAS
• SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio, - SAS Information Maps, SAS BI
• SAS Stored Process, SAS Datasets & Library
• Experience to configure/install applications in the servers(windows/Linux/Unix) and

basic knowledge of DNS, Ports, and Firewalls (3+ years)

• Experience managing and further developing distributed systems and

clusters for both batch as well as streaming data (Hadoop/Spark and/or Kafka/Flink)

• Experience in handling semi-structured data sets(eg. JSON,XML) (3+ years)
• Experience in C# or Java (3+ years)
• Banking and Finance, Financial accounting and Reporting Environment
• Expertise in writing advanced SQL Query, Stored Procedures and functions
• ETL Tools SAS platform Tools like SAS DI / SAS Enterprise Guide andMicrosoft SQL Server.
• Sound understanding of Financial Reporting(Balance Sheet/Profit and Loss) and Risk Reporting.
• Developing within database and specifically Microsoft SQL Server and/or Oracle (minimum of 3+ years required).

Responsibility

• Consolidate and analyze financial data (budgets, income statement forecasts ,Balance Sheet, Profit and Loss) taking into account company s goals and financial standing
• Build Stored procedure and ETL Jobs to Reconcile transactions by comparing and correcting data
• Contribute to data warehouse design and components, relational database management systems, and database design solutions
• Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements
• Build SAS EG,SAS DI jobs
• Research and resolve discrepancies in financial data ,Manage the month-end close process.

Skills

• Solving Complex Problems
• Testing and Troubleshooting
• Regulatory Compliance
• Financial Reporting
• ETL/ETT/ETM Tools and Process
• Risk Management
• Data Warehouses
• Data Marts
• Balance Sheet,Profit & Loss,Market Risk
• Data Modeling
• SAS, SAS BI, MS SQL Server, T-SQL in data warehousing/batch