Data Engineer

6 months ago

المملكة العربية السعودية, Saudi Arabia Talent Pal Full time

OVERVIEW

**Position**: Data Engineer

**Job Code**: N/A

**Reports to**: Educational Technology Manager

**Direct Reports**: N/A

**Division**: ERI

**Department**: EC12

**Role Purpose**: As a Data Engineer at NEOM EC-12, you will play a pivotal role in shaping and implementing our data strategy. This strategic position is crucial for transforming raw data into meaningful insights, contributing to informed decision-making across various stakeholders. If you are passionate about leveraging data to drive positive educational outcomes, this role offers a unique opportunity to lead the development of a robust data infrastructure.

**KEY ACCOUNTABILITIES & ACTIVITIES**

**Key Responsibilities**:

- Data Strategy Development:

- Collaborate with stakeholders to assess existing data infrastructure and contribute to the development of a comprehensive data strategy aligned with organizational objectives.
- Create a roadmap for implementing the data strategy, outlining key milestones and timelines for achieving strategic goals.
- Explore emerging technologies and trends in data engineering to propose innovative solutions that enhance the organization's data capabilities.
- Anticipate future data needs and design scalable data solutions to adapt to evolving organizational requirements.
- Ensure alignment of the data strategy with broader business goals and objectives.
- Dashboard Creation:

- Work closely with stakeholders to understand reporting and visualization requirements.
- Design and implement data models supporting the creation of interactive and insightful dashboards.
- Utilize visualization tools like Tableau, Power BI, or equivalent for creating visually appealing and user-friendly dashboards.
- Optimize queries and data retrieval processes to ensure real-time or near-real-time insights.
- Provide training and documentation to end-users on effective usage and interpretation of dashboard information.
- Data Integration and Management:

- Design, implement, and maintain Extract, Transform, Load (ETL) processes for efficient data integration from various sources.
- Implement data quality processes to ensure accuracy and reliability of integrated data.
- Develop strategies for managing master data to ensure consistency across the organization.
- Implement solutions for real-time data processing and streaming as required by the business.
- Conduct rigorous testing of integrated data to identify and resolve any issues related to data integrity.
- Database Architecture:

- Design and implement database structures aligned with performance, scalability, and business requirements.
- Implement effective indexing strategies to optimize database query performance.
- Develop and implement robust backup and recovery plans to safeguard data against loss or corruption.
- Implement security measures to protect sensitive data, including access controls, encryption, and auditing.
- Collaboration with stakeholders:

- Collaborate with stakeholders to understand their data requirements for analytical purposes.
- Assist stakeholders in exploring and understanding available data sources, ensuring access to relevant information.
- Work closely with stakeholders to optimize SQL queries and provide guidance on efficient data retrieval techniques.
- Collaborate in interpreting data results, providing insights, and helping stakeholders derive meaningful conclusions.
- Establish a continuous feedback loop with stakeholders to refine and enhance data solutions based on evolving needs.
- Data Governance and Quality:

- Contribute to the development and enforcement of data governance policies and standards.
- Establish processes and tools for ongoing monitoring of data quality, initiating corrective actions when necessary.
- Ensure data practices adhere to regulatory requirements and industry standards related to data governance.
- Conduct training sessions and communicate data governance principles to stakeholders to foster a culture of data quality and compliance.
- Cloud-Based Solutions:

- Design and implement data solutions leveraging cloud platforms such as AWS, Azure, or Google Cloud.
- Utilize cloud scalability features to accommodate growing data volumes and processing demands.
- Implement cost-effective solutions in the cloud by optimizing resource utilization and leveraging serverless or managed services.
- Implement robust security measures in the cloud, including encryption, access controls, and monitoring.
- Training and Documentation:

- Provide training to end-users on data tools, dashboards, and reporting systems.
- Create and maintain comprehensive documentation for data engineering processes.
- Security and Compliance:

- Implement robust security measures to protect sensitive data.
- Ensure compliance with data privacy regulations and standards.

**BACKGROUND, SKILLS & QUALIFICATIONS**

**Knowledge, Skills and Experience**:

- Proven experience as a Data Engineer or in a similar role.
- Proficiency in SQL, Python, and

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