Officer - Data Integration at Kenya Revenue Authority (KRA)

Job Summary.

The jobholder will be responsible for supporting the implementation of the Authority’s strategies and policies for 3rd party data management.

Duties and responsibilities

• Consolidate and integrate data from 3rd party systems and combine into a single and coherent data set.
• Initiate data transformation by converting 3rd party data into a format that is compatible with the internal system while applying necessary transformations like cleaning, enriching, and structuring.
• Manage data pipeline through building and maintaining pipelines that automate the extraction, transformation, and loading (ETL) of 3rd party data.
• Validate and clean data to assure quality by ensuring that the integrated data is accurate, consistent, and of high quality.
• Liaise and request data from 3rd party's and integrate these data from multiple sources, ensure accuracy, consistency, and reliability.
• Design, implement, and optimize scalable and efficient data pipelines for ingestion, processing, and storage.
• Develop and maintain data architectures that support business intelligence, analytics and artificial intelligence (AI)/machine learning (ML) initiatives.
• Monitor and enhance performance of data systems to ensure minimal downtime and optimal speed.
• Implement processes that are meant to verify data integrity and consistency throughout the pipeline.
• Work with other stakeholders, understand requirements and deliver appropriate solutions.
• Document data engineering processes, workflows, and technical specifications for reference and future updates.
• Implement data security measures and ensure compliance with organizational policies and regulatory requirements.

Person specifications

For appointment to this job, the candidate must have:

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Artificial Intelligence, Machine Learning, Economics, Statistics, Mathematics, Engineering or a related field
• Proficient in Computer Applications.
• One (1) year of relevant work experience.

Technical/Functional competencies

• Show merit and ability as reflected in work performance and results.
• Strong communication skills to collaborate with both technical and non-technical teams.