Data models, data mining, and segmentation techniques
Database design
Data analysis, validation and Data cleansing.
Writing reports, business correspondence and procedure documentation.
Python programming language, Pandas, Numpy, etc.
Writing, deploying, testing, and maintaining a data pipeline (ELT/ETL) to build architecture and integrate data systems.
Handling data transformations to cleanse irregular and unstructured data before that data has moved to the target systems
Improving the existing data architecture or building a new system emphasizing data security, data quality and timeliness, scalability, and extensibility.
deploying secure and well-tested pipelines that meet privacy and compliance requirements.
Investigating data discrepancies between multiple systems
comparing, reviewing, and evaluating various alternative solutions considering both technical and business requirements/parameters and at the same time ensuring that the solution is viable as per defined cost and service requirements.
Installing, validating, testing, and packaging Hadoop products on Linux platforms
Please attach copies of certificates to prove your experience.?˙˙˙˙˙˙Final Selection of candidate is based on interview by MOH- Information SystemsDepartment.
