Data Quality Engineer
6 months ago
Key
**About FlyAkeed**:
FlyAkeed is an online platform that helps people book flights and hotels easily. We started in 2017 and are based in Riyadh, Saudi Arabia. Our travel solution simplifies the process of planning and handling work-related travel.
**Highlights**:
Current funding stage: Series A
FlyAkeed is supported by: PIF subsidiary Sanabil Investments, Elm, Artal Capital, Alrajhi Partners.
**Job Summary**:
**Key Responsibilities**:
- **Data Quality Assessment**: Evaluating the quality of data through rigorous analysis and validation. This involves checking for accuracy, completeness, consistency, and reliability of data.
- **Design and Implementation of Data Quality Solutions**: Developing and implementing systems and processes to improve and maintain data quality. This includes creating data quality rules and metrics to monitor and measure data quality.
- **Data Cleaning and Transformation**: Identifying and rectifying data quality issues such as duplicates, inconsistencies, and missing values. This may involve cleaning, transforming, and standardizing data.
- **Collaboration with Data Teams**: Working closely with data scientists, analysts, and IT teams to ensure data quality throughout the data lifecycle. This includes providing support in data modeling, database design, and data integration projects.
- **Data Governance and Compliance**: Enforcing data governance policies and ensuring compliance with data privacy and protection regulations.
- **Data Quality Reporting and Documentation**: Preparing detailed reports on data quality and documenting the processes and methodologies used in data quality management.
- **Tool and Technology Expertise**: Proficient in using data quality tools and technologies, such as SQL, ETL tools, and data profiling tools. Staying updated with the latest trends and technologies in data quality.
- **Problem-Solving and Analytical Skills**: Identifying root causes of data quality issues and developing effective solutions. Strong analytical skills are essential for analyzing data and identifying patterns and trends.
- **Continuous Improvement**: Continually seeking ways to improve data quality processes and procedures, based on feedback and evolving business needs.
**Requirements**:
- Bachelor’s degree in Computer Science or equivalent.
- Previous experience in Data Analysis or Data Engineering field.
- 1-3 years of experience in maintaining and managing high volume of Data.
- Excellent communication skills, both verbal and written.
- Strong problem-solving and decision-making abilities.
- Ability to work well under pressure and adapt to changing situations.
- Passion for travel and a willingness to learn and grow in the industry.
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