Data Engineer Platform (Onsite, Bahrain, BHD)

Requirements:

Expert-level proficiency in ETL/EET/ETM tools and related data integration processes.

Advanced experience with SQL Server T-SQL, including stored procedure and function development.

Hands-on experience using SAS Enterprise Guide (EG) and SAS Data Integration (DI).

Proven experience in the design, implementation, and maintenance of enterprise data warehouses.

Strong expertise in data modeling, including dimensional modeling, star schema, and snowflake schema.

Experience designing and deploying data marts to support business intelligence and reporting needs.

Strong understanding of financial reporting, including Balance Sheet, Profit & Loss, and Cash Flow statements.

Knowledge of banking regulations and regulatory compliance requirements.

Solid understanding of risk management, including market risk, credit risk, and operational risk.

Deep expertise in financial statements, Profit & Loss analysis, balance sheet structures, and market risk metrics.

Experience managing and supporting month-end close processes within financial environments.

Strong analytical and problem-solving skills with a high level of attention to detail.

Demonstrated commitment to data accuracy, consistency, and overall data quality.

Ability to perform effectively in fast-paced, high-pressure financial environments.

Excellent communication skills with the ability to collaborate across cross-functional teams.

Experience with batch processing systems and automated reporting solutions.

Responsibilities:

Consolidate and analyze financial data, including budgets, forecasts, balance sheets, and Profit & Loss statements.

Evaluate financial data in line with company goals and overall financial position.

Identify and resolve discrepancies in financial data with accuracy.

Manage and support the month-end close process with precision.

Build stored procedures and ETL jobs to reconcile transactions across multiple systems.

Compare, validate, and correct data to ensure consistency and accuracy.

Develop SQL Server T-SQL procedures and functions for batch processing and reporting.

Align data processing solutions with business and user requirements.

Design and implement SAS Enterprise Guide and SAS Data Integration jobs for complex transformations and analytics.

Contribute to data warehouse design and implementation using dimensional modeling.

Support data architecture components, including schemas and warehouse structures.

Design, implement, and optimize relational database management systems.

Develop data marts to meet specific business intelligence and reporting needs.

Ensure data solutions comply with regulatory and financial reporting standards.

Support risk reporting processes with timely and accurate data delivery.

Maintain data integrity for market risk, credit risk, and operational risk reporting.