Data Management·Confirmed live in the last 24 hours·
Full-timeDubai - United Arab EmiratesNo salary listedIn-person
About the Job
Requirements
A Master's or Bachelor's degree in computer science, information systems management, or a related field.
Solution and architecture certifications such as TOGAF or equivalent.
More than 12 years of experience in information technology, including 8 or more years in data architecture or technology solution definition and implementation.
Extensive experience in banking and financial services.
Expertise in data architecture, data strategy, and roadmaps for large and complex organizations and systems, including implementation of large-scale end-to-end data management and analytics solutions.
Experience transforming traditional data warehousing approaches to big data-based approaches, with a proven track record of managing risks and data security.
Expertise in data warehouse dimensional modeling techniques, star and snowflake schemas, slowly changing dimensions, role-playing dimensions, dimensional hierarchies, and data classification.
Experience with cloud-native principles, designs, and deployments.
Extensive experience working with and enhancing continuous integration and continuous delivery environments.
Expertise in data quality, data profiling, data governance, data security, metadata management, and data archival.
Experience defining workload migration strategies using appropriate tools.
Ability to drive delivery in a matrixed environment with internal IT partners.
Ability to work independently and skills in planning, strategy, estimation, and scheduling.
Problem-solving, influencing, communication, and presentation skills.
Experience with data processing frameworks and platforms such as Informatica, Hadoop, Presto, Tez, Hive, and Spark.
Hands-on experience with complementary open-source software platforms and languages such as Java, Linux, Python, Git, and Jenkins.
Exposure to business intelligence tools and reporting software such as Microsoft Power BI and Tableau.
Responsibilities
Define workload migration strategies using appropriate tools.
Drive delivery in a matrixed environment while working with internal IT partners.
Education:
Master or Bachelor’s degree in computer science, information systems management or related field.
Solution and Architecture certifications such as TOGAF or other.
Experiences:
More than 12+ years of experience in information technology, with 8+ years spent in data architecture or technology solutions definitions and implementations.
Extensive experience in banking and financial services domain
Knowledge & Skills:
Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions
Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security
Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification
Experiences in cloud native principals, designs and deployments.
Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments
Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival
Define workload migration strategies using appropriate tools
Drive delivery in a matrixed environment working with various internal IT partners
Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously
Must be able to work independently and have skills in planning, strategy, estimation, scheduling,
Strong problem solving, influencing, communication, and presentation skills, self-starter
Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.)
Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenkins)
Exposure to BI tools and reporting software (e.g. MS Power BI and Tableau)