Data Architecture Specialist

5 days ago


Riyadh, Ar Riyāḑ, Saudi Arabia SWATX Full time
Job Description:

Data Warehouse Design and Implementation: Our team is seeking a skilled Data Architecture Specialist to design, build, and maintain data warehouses and data lakes. The successful candidate will be responsible for selecting appropriate architectures (e.g., Kimball, Inmon), ETL (Extract, Transform, Load) processes, and data modeling techniques to optimize these systems for analytical queries and reporting.

The ideal candidate will have a strong background in big data platform management, ensuring that Hadoop, Spark, and Hive clusters are scalable, reliable, and secure. This includes cluster management, resource allocation, and performance tuning.

Data Integration: As a key member of our team, the selected candidate will integrate data from various sources (structured and unstructured, internal and external) into the data warehouse or data lake, ensuring data quality and consistency.

We are looking for a highly motivated professional who can optimize the performance of big data systems and data warehouses for complex analytical queries using techniques like indexing, partitioning, and query optimization.

Data Governance and Security: The chosen candidate will implement data governance policies and security measures to protect sensitive data within the data warehouse and big data environment. This includes access control, data masking, and compliance with regulations like GDPR.

Data Modeling for Analytics: Our team requires a skilled professional who can design data models optimized for analytical queries, enabling business users to easily access and analyze data.

Tool Selection and Evaluation: We need someone who can evaluate and recommend appropriate big data and data warehousing tools and technologies, staying abreast of the latest advancements in the field.

Collaboration: As a collaborative team player, the selected candidate will work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide support for data-driven initiatives.

Requirements:
  • A bachelor's degree in computer science, information technology, or a related field.
  • Minimum 8 years of experience.
  • Expert in big data.
  • Expert in data warehousing.


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