Question
Full-time
5-10

Data Engineering Analyst - Banking

11/30/2025

The Data Engineering Analyst will focus on finance data engineering tasks, ensuring data integrity and optimizing SQL queries. The role requires a strong understanding of financial reporting and data warehousing principles.

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

Company Description

 

 

 

Job Description

VAM Systems is currently looking for Finance Data Engineering Analyst for our Bahrain operations with the following skillsets & terms and conditions:

 

Qualifications :

  • Bachelor’s Degree
  • Engineer (B.E.)/ MCA
  • Certification in SQL/SAS

Experience:  5-8 years

Must Have

Strong SQL scripting experience Ideally in SQL Server.

Strong Data Warehousing knowledge and experience.

Good understanding of Finance in a Bank.

Nice to

SAS DI and SAS EG

Experience required:

  • Strong understanding of Slowly Changing Dimensions (SCD) and data change management, including hands-on experience with SCD Type 1 (data overwrite), Type 2 (historical record creation), and Type 3 (tracking previous attribute values through additional columns).
  • Proficient in designing and optimizing SQL Server indexes to enhance query performance by enabling faster data retrieval through efficient lookup structures.
  • Experienced in implementing data partitioning to divide large datasets into smaller, manageable segments, resulting in improved query performance, simplified maintenance, and efficient data archiving.
  • Skilled in ensuring data integrity during ETL processes, particularly for financial transactions, by implementing checksums and row counts, applying transactional controls (commit/rollback), and validating data against source system totals.
  • Strong understanding of Financial Reporting (Balance Sheet, Profit & Loss), Risk Reporting, and core banking domain concepts.
  • Knowledgeable in Balance Sheet structure and components, including Assets (e.g., loans, investments, cash & reserves), Liabilities (e.g., customer deposits, inter-bank placements), and Equity (e.g., share capital, reserves).
  • Well-versed in interpreting Income Statements/Profit & Loss (P&L) reports, including key components such as Interest Income, Interest Expense, and Operating Expense.

 

Joining time frame: (15 - 30 days)

 

 

 

 

Additional Information

Terms and conditions: 

Joining time frame:   maximum 4 weeks

 

 

Key Skills
SQL ScriptingData WarehousingFinance UnderstandingSAS DISAS EGSlowly Changing DimensionsData Change ManagementSQL Server Index OptimizationData PartitioningData IntegrityETL ProcessesFinancial ReportingRisk ReportingBalance Sheet KnowledgeIncome Statement Interpretation
Categories
Finance & AccountingData & AnalyticsTechnology
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