Executive Secretary

Tadawul Group

Principal Duties and Responsibilities:

1. Build ETL/ELT pipelines to extract data from various sources, transform it, and load it into data warehouses or data lakes.

2. Automate workflows to handle continuous data ingestion.

3. Collaborate with data engineering teams to automate data ingestion, validation, and deployment workflows.

4. Manage and optimize data pipelines using platforms like Airflow, Cloud Composer, or Dataflow.

5. Ensure data quality, lineage, and version control across datasets.

6. Support data lake / warehouse environments (e.g., BigQuery).

7. Design scalable data architectures (e.g., star schema, data vault, lakehouse).

8. Optimize data storage for performance and cost.

9. Develop automation scripts using Python, Java for cloud and data operations.

10. Troubleshoot cloud infrastructure and data platform issues to ensure high availability and resilience.

11. Ensure system reliability, scalability, and performance optimization across environments (Dev, QA, UAT, Production).

12. Integrate multiple data sources (APIs, databases, streaming platforms, IoT, etc.).

13. Use orchestration tools (e.g., Airflow, Prefect) to schedule and monitor workflows.

14. Design, implement, and maintain CI/CD pipelines for application and data workflows using modern tools.

15. Manage infrastructure as code (IaC) using Typescript, Terraform, CloudFormation, or Deployment Manager.

16. Automate build, test, and deployment processes to improve development efficiency and reduce manual interventions.

17. Implement containerization and orchestration using Docker and Kubernetes (EKS, AKS, or GKE).

18. Ensure data accuracy, consistency, and compliance with regulations.

19. Implement validation, logging, and monitoring systems.

20. Support data governance and compliance aligned with financial regulatory standards.

21. Implement security, cost optimization, and access control measures across cloud environments.

Key Accountabilities:

1. Advice on the division/department strategy to ensure vertical alignment and horizontal integration.

2. Support the division s management by providing expert opinions and recommendations on specialized matters, and deliver leadership assistance on other projects as needed.

3. Advice on risk management and mitigation tactics within the division/department.

4. Recommend tools, frameworks, and methodology to ensure proper governance and monitoring of the division/department projects.

5. Advice on the development of future state process flows, and suggest divisional/departmental and workflow changes based on the market best practices.

6. Ensure the satisfaction of internal and external customers to address their needs in a courteous and timely manner.

7. Promote to other employees within the organization the implementation and adherence to policies, procedures, processes, and instructions.

Education and Certifications:

1. A Bachelor s degree in Computer Science, Information Technology, Engineering, Data Science. Master s degree is preferred.

2. Professional certifications are preferred.

Knowledge and Experience:

1. 6 + years of experience software engineering (Dev Ops, software development & support), DevOps/DataOps in financial or capital markets environment.

2. Relational and non-relational databases.

3. Data pipeline tools (e.g., Apache Airflow, dbt, Luigi, Kafka).

4. Data modeling, data warehousing concepts, and distributed systems.

5. Version control (e.g., Git) and CI/CD practices.

Skills Required:

1. Data governance and data quality frameworks

2. Proficiency in Python or Scala for data processing.

3. Problem-solving skills and a collaborative mindset

4. Familiarity with cloud data platforms