Data Engineering Intern - 1 Post
Posted:
Company Details
Industry:
Telecommunications
Website:
https://www.agilebiz.co.ke/
Description:
Agile Business Solutions was established in May 2013 with the objective of providing adequate and efficient IT solutions to clients.
Our culture is to satisfy our client’s needs by offering top class customized solutions that are in line with the latest technology and best IT practices.
Agile … View more
Our culture is to satisfy our client’s needs by offering top class customized solutions that are in line with the latest technology and best IT practices.
Agile … View more
Job Details
Job Type:
Full Time
Workplace Type:
On-site
Qualification:
Diploma
Job Experience:
Mandatory
Job Location:
Nairobi County, Kenya
Closing Date:
Undisclosed
Salary:
KES Unspecified / month
Other Pay:
Benefits
Job Category:
Telecommunications
Job Description
Job Overview
The Data Engineering Intern will provide specialized data engineering support, focusing on data integration and pipeline development using a variety of tools and technologies. The role demands hands-on experience with SQL, Python, Apache Airflow, Azure Data Factory, and Power BI to design, build, and maintain robust data pipelines that enable data-driven decision-making.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using SQL, Python, and Apache Airflow.
- Implement data integration solutions on Azure Data Factory to move and transform data from multiple sources.
- Create and optimize data models and reports in Power BI to support business analytics.
- Collaborate with data scientists, analysts, and engineers to understand data requirements and deliver high-quality datasets.
- Perform data validation, testing, and troubleshooting to ensure pipeline reliability and performance.
- Document data engineering processes, pipelines, and best practices.
Minimum Qualifications
- Education: Bachelor’s degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field from an accredited and recognized institution.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, MIS, or a related field.
- Hands-on experience or coursework in SQL and Python for data manipulation and pipeline development.
- Familiarity with Apache Airflow or similar workflow orchestration tools.
- Experience with Azure Data Factory or other cloud-based ETL/ELT services.
- Ability to develop reports and dashboards using Power BI.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
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Contact Information
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