5 Data Warehouse jobs in Saudi Arabia

Master-Works is seeking a highly experienced Data Warehouse Expert to join our team. In this role, you will take the lead in designing and implementing sophisticated data warehousing solutions that support business intelligence and analytics initiatives. You will collaborate with various teams to ensure the effective integration, management, and utilization of data across the organization, providing insights that drive strategic decisions.

Key Responsibilities:

• Lead the design and architecture of data warehouse systems, ensuring scalability and performance optimization

• Develop comprehensive ETL pipelines to integrate data from multiple sources into the data warehouse

• Collaborate with stakeholders to define data requirements and translate business needs into technical specifications

• Implement data governance practices and ensure data quality and integrity within the data warehouse

• Monitor data warehouse performance and implement tuning and optimization strategies

• Provide guidance and mentorship to junior data warehouse engineers and analysts

• Stay abreast of the latest developments in data warehousing technologies and best practices

• Document data warehouse architectures, data flows, and processes for future reference and compliance

Requirements:

• Bachelor's or master's degree in Computer Science, Information Systems, or a related field

• Proven experience (5-7+ years) as a Data Warehouse Expert or in a similar role

• Extensive knowledge of data warehousing methodologies and best practices

• Proficiency in SQL and experience with database management systems (e.g., SQL Server, Oracle, Snowflake)

• Hands-on experience with ETL tools (e.g., Talend, Informatica, Microsoft SSIS) and data integration techniques

• Strong understanding of data modeling concepts (dimensional modeling, star schema, snowflake schema)

• Familiarity with BI tools (e.g., Tableau, Power BI, SAS) for reporting and analytics

• Excellent problem-solving skills and the ability to work under tight deadlines

• Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders

• Certifications related to data warehousing or cloud platforms (e.g., AWS, Azure) are a plus

As a Senior Data Warehouse Engineer specializing in map data warehouse, you will play a crucial role in designing, implementing, and maintaining our map data warehouse infrastructure. You will be responsible for architecting scalable, efficient, and reliable data warehouse solutions.

Key Responsibilities:

1. Data Warehouse Architecture: Lead the design and development of our map data warehouse architecture, including data modeling, schema design, and ETL (Extract, Transform, Load) processes, to ensure scalability, performance, and data integrity for handling map data.
2. ETL Development: Design, develop, and optimize ETL pipelines to extract, transform, and load map data from various source systems, including geographic information systems (GIS), satellite imagery, and point of interest (POI) databases, into the data warehouse using tools and technologies such as SQL, Python, or ETL platforms.
3. Data Integration: Collaborate with cross-functional teams to integrate map data from disparate sources, including internal and external data providers, into the data warehouse to create a unified and comprehensive view of the organization's map data assets.
4. Performance Tuning: Identify and address performance bottlenecks in the map data warehouse environment, including query optimization, indexing strategies, and data partitioning techniques, to ensure optimal performance and scalability for handling large-scale map data.
5. Data Governance and Security: Implement data governance policies and security controls to ensure the confidentiality, integrity, and availability of map data stored in the data warehouse, in compliance with regulatory requirements and industry best practices.
6. Monitoring and Maintenance: Monitor the health and performance of the map data warehouse infrastructure, proactively identify and address issues, and perform routine maintenance tasks, such as backups, upgrades, and patching, to ensure system availability and reliability.

Qualifications:

• Bachelor's or Master's degree in computer science, information systems, or a related field.
• 5 years of experience in data warehouse design, development, and implementation, with a focus on handling geospatial or map data.
• Strong proficiency in SQL and database management systems, such as PostgreSQL, MySQL, or SQL Server, with experience in spatial extensions and GIS functionalities.
• Experience with ETL tools and frameworks, such as Apache Spark, Apache Airflow, or Talend, for handling large-scale map data processing and integration.
• Knowledge of geospatial data formats, GIS tools, and geospatial libraries such as GDAL, GeoPandas, or ArcGIS, and experience with spatial indexing and optimization techniques.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions for map data warehouse solutions.
• Effective communication and collaboration skills, with the ability to work independently and as part of a multidisciplinary team.

As a Senior Data Warehouse Engineer specializing in map data warehouse, you will play a crucial role in designing, implementing, and maintaining our map data warehouse infrastructure. You will be responsible for architecting scalable, efficient, and reliable data warehouse solutions.

Key Responsibilities:

1. Data Warehouse Architecture: Lead the design and development of our map data warehouse architecture, including data modeling, schema design, and ETL (Extract, Transform, Load) processes, to ensure scalability, performance, and data integrity for handling map data.
2. ETL Development: Design, develop, and optimize ETL pipelines to extract, transform, and load map data from various source systems, including geographic information systems (GIS), satellite imagery, and point of interest (POI) databases, into the data warehouse using tools and technologies such as SQL, Python, or ETL platforms.
3. Data Integration: Collaborate with cross-functional teams to integrate map data from disparate sources, including internal and external data providers, into the data warehouse to create a unified and comprehensive view of the organization's map data assets.
4. Performance Tuning: Identify and address performance bottlenecks in the map data warehouse environment, including query optimization, indexing strategies, and data partitioning techniques, to ensure optimal performance and scalability for handling large-scale map data.
5. Data Governance and Security: Implement data governance policies and security controls to ensure the confidentiality, integrity, and availability of map data stored in the data warehouse, in compliance with regulatory requirements and industry best practices.
6. Monitoring and Maintenance: Monitor the health and performance of the map data warehouse infrastructure, proactively identify and address issues, and perform routine maintenance tasks, such as backups, upgrades, and patching, to ensure system availability and reliability.

Qualifications:

• Bachelor's or Master's degree in computer science, information systems, or a related field.
• 5 years of experience in data warehouse design, development, and implementation, with a focus on handling geospatial or map data.
• Strong proficiency in SQL and database management systems, such as PostgreSQL, MySQL, or SQL Server, with experience in spatial extensions and GIS functionalities.
• Experience with ETL tools and frameworks, such as Apache Spark, Apache Airflow, or Talend, for handling large-scale map data processing and integration.
• Knowledge of geospatial data formats, GIS tools, and geospatial libraries such as GDAL, GeoPandas, or ArcGIS, and experience with spatial indexing and optimization techniques.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions for map data warehouse solutions.
• Effective communication and collaboration skills, with the ability to work independently and as part of a multidisciplinary team.

4 weeks ago Be among the first 25 applicants

Data Warehouse Design and Implementation: They design, build, and maintain data warehouses and data lakes, optimizing them for analytical queries and reporting. This includes selecting appropriate architectures (e.g., Kimball, Inmon), ETL (Extract, Transform, Load) processes, and data modeling techniques.

Big Data Platform Management: They manage and administer big data platforms like Hadoop, Spark, and Hive, ensuring they are scalable, reliable, and secure. This involves cluster management, resource allocation, and performance tuning.

Data Integration: They integrate data from various sources (structured and unstructured, internal and external) into the data warehouse or data lake, ensuring data quality and consistency.

Performance Optimization: They 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: They 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: They design data models optimized for analytical queries, enabling business users to easily access and analyze data.

Tool Selection and Evaluation: They evaluate and recommend appropriate big data and data warehousing tools and technologies, staying abreast of the latest advancements in the field.

Collaboration: They 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 is typically required
• Min 8 years experience
• Expert in big Data
• Expert in data warehouse

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

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