Data Engineer

Iconic IT Consulting Services; Dubai; Remote; AED 120,000 - 200,000; Full time

Job summary

A leading IT consultancy is seeking an experienced Data Engineer to support finance systems, including OFSAA Financial Consolidation and Regulatory Reporting. The ideal candidate will have strong expertise in ETL processes, data modeling, and big data technologies, particularly within a banking environment. This is a remote position. Candidates with a Bachelor's in Computer Science or IT and hands-on experience with Informatica are encouraged to apply.

Qualifications

• Proven experience in Data Engineering within Finance Systems.
• Hands-on experience with ETL tools (Informatica preferred).
• Knowledge of Hadoop ecosystem and big data processing.

Responsibilities

• Design and implement data models to support financial reporting and analytics.
• Develop ETL workflows using Informatica for data integration and transformation.
• Collaborate with cross-functional teams to support business and regulatory reporting requirements.

Skills

ETL processes

Data modeling

Big data technologies

SQL

Informatica

Education

Bachelor's degree in Computer Science, IT, or related field

Tools

Hadoop

Informatica

SQL databases

Job description

Job Title: Data Engineer Finance Systems

Job Type: Longterm Contract Remote

Job Location: Remote in Egypt

Job Description:
We are hiring an experienced Data Engineer to support finance systems including OFSAA Financial Consolidation and Regulatory Reporting. The ideal candidate will have expertise in ETL processes data modeling and big data technologies to drive data integration and management within a banking environment.

Key Responsibilities:

• Design and implement data models to support financial reporting and analytics.
• Develop ETL workflows using tools like Informatica for data integration and transformation.
• Work with banking finance functions including financial consolidation cost allocation and profitability reporting.
• Utilize big data technologies like Hadoop HDFS Hive Sqoop and Spark to optimize data processing.
• Manage and optimize SQL databases for structured data storage and retrieval.
• Ensure data accuracy and quality across systems.
• Collaborate with crossfunctional teams to support business and regulatory reporting requirements.

Requirements:

Bachelors degree in Computer Science IT or a related field
Proven experience in Data Engineering within Finance Systems
Handson experience with ETL tools (Informatica preferred)
Strong SQL skills and database management experience
Knowledge of Hadoop ecosystem and big data processing
Analytical mindset with attention to detail
Excellent problemsolving and collaboration skills

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