Data Engineering Team Member

Data Engineering Team Member
We are looking for a Data Engineering Team Member with minimum 2 years of experience, to delivering end-to-end data cleaning and transformation pipelines. In addition to acting as Data Journalist who can understand the data sources, collect the data from reliable sources, articulate business problems, and shape the datasets into representative formats, Also can act as Data Integration/Enrichment Specialist who can explore data from external and internal sources then integrate it with our ground truth dataset, moreover will be responsible on feature engineering part so the final dataset should be transformed and prepared to be consumed by the data science team.

Main tasks will include but will not be limited to:

• Data Cleansing, pre-processing, feature engineering, and exploratory data analysis.
• Transform unstructured data into more suitable data formats.
• Build the required ETL (Extract, Transform and Load) pipelines using ETL tools or Python-based ETL tools.
• Work with data scientists for a better understanding of business needs and perform the required analysis.
• Build automated analytics solutions (data ingestion, transformation, storage, and analytics integration).
• Develop APIs to provide protected access to the data and the ability to integrate with other platforms.
• Assist data science teams in the deployment and integration of machine learning models into production systems.
• Apply basic machine learning techniques such as regression, classification, and clustering to solve data-related challenges.
• Apply preprocessing techniques such as tokenization, stemming, and stop-word removal to prepare textual data for NLP tasks.