Data Warehouse Architect

Description:

We are seeking a highly skilled Senior Data Warehouse Architect with extensive experience in the banking industry to join our team in Dubai. The ideal candidate will have a minimum of 8 years of professional experience in Data Warehouse, with at least 2 years specifically in the banking industry.

Key Responsibilities:

Design and implement Data Mart and Warehouse Data Models.

Implement Modern Data Warehouse Architecture.

Perform data analysis, profiling, and reverse engineering.

Expertise in Informatica and data modeling with a minimum of 8 years of experience.

Proficient in PL/SQL, UNIX scripting, etc.

Knowledgeable in database and information modeling (ER, Dimensional, Physical, Conceptual, Logical, Virtual, hierarchical, semantic, etc.).

Experience with Data Modelling tools such as IBM Data Architect, SAP Power Designer, Erwin.

Hands-on experience with Sybase IQ, SAP Hana & Hadoop technologies.

Strong understanding of Data Warehouse principles.

Job Title: Senior Data Warehouse Architect

Location: Dubai, United Arab Emirates

Job Description:

We are seeking a highly skilled Senior Data Warehouse Architect with extensive experience in the banking industry to join our team in Dubai. The ideal candidate will have a minimum of 8 years of professional experience in Data Warehouse, with at least 2 years specifically in the banking industry.

Key Responsibilities:

Design and implement Data Mart and Warehouse Data Models.

Implement Modern Data Warehouse Architecture.

Perform data analysis, profiling, and reverse engineering.

Expertise in Informatic and data modeling with a minimum of 8 years of experience.

Proficient in PL/SQL, UNIX scripting, etc.

Knowledgeable in database and information modeling (ER, Dimensional, Physical, Conceptual, Logical, Virtual, hierarchical, semantic, etc.).

Experience with Data Modelling tools such as IBM Data Architect, SAP Power Designer, Erwin.

Hands-on experience with Sybase IQ, SAP Hana & Hadoop technologies.

Strong understanding of Data Warehouse principles.

Implement technical aspects of DW Governance including glossary, metadata, data quality, master data management, and data lifecycle management.