Question
Full-time
5-10

Data Engineer - SAS - Banking

1/10/2026

The Data Engineer will consolidate and analyze financial data, build stored procedures and ETL jobs, and contribute to data warehouse design. They will also research and resolve discrepancies in financial data and manage the month-end close process.

Working Hours

40 hours/week

Company Size

51-200 employees

Language

English

Visa Sponsorship

No

About The Company
VAM Systems is a Business Consulting, Technology Solutions and Professional Services organization working with major organizations in USA, UAE, Bahrain, India, Singapore and Australia. Delivers leading edge information and communication technology based business solutions to enable our clients to continuously stay ahead and achieve sustainable profit and consistent growth by leveraging new channels of customer engagement and service delivery as well as better and efficient employment of resources and processes with measurable parameters for performance. While our local presence assists us in better understanding of the local needs, our global presence assist us to offer solutions strengthened by experience in leading markets globally.
About the Role

Job Description

VAM Systems is currently looking for Data Engineer - SAS  for our Bahrain operations with the following skillsets and terms & conditions:

Qualification

 

  • BE Computer Science and Engineering

 

Professional Training

 

  • SQL Development, SAS EG, SAS DI, Object-orientated Programming (e.g. C#, Java)

 

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

 

Domain  : Bank

 

Years of Experience 5 + years

 

Key Skills
SASSQL DevelopmentETL ToolsData WarehousingFinancial ReportingRisk ManagementData ModelingObject-Oriented ProgrammingHadoopSparkKafkaC#JavaSAS BIMicrosoft SQL ServerData AnalysisTroubleshooting
Categories
TechnologyFinance & AccountingData & AnalyticsEngineering
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