Data Engineer

Job Summary

Responsible for designing, building, and maintaining scalable data pipelines and data architectures that support analytics, reporting, and business intelligence solutions.
Ensures that data from multiple systems can be collected, transformed, and made available for analysis in a reliable and efficient manner.
Key Responsibilities

Design and implement data pipelines and ETL processes.
Integrate data from multiple systems such as ERP, CRM, and operational databases.
Build and maintain data warehouses and data lakes.
Ensure data quality, consistency, and reliability.
Work closely with BI Analysts to support dashboard development.
Optimize data pipelines for performance and scalability.
Implement data transformation and data cleansing processes.
Support advanced analytics and machine learning initiatives.
Maintain documentation of data architecture and data flows.
Technologies

ETL tools (SSIS, Azure Data Factory, Talend, Informatica)
SQL and Python
Data Warehousing platforms
Cloud data platforms (Azure, AWS, Google Cloud)
Big Data technologies (optional)

Required Qualifications
Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or Information Systems.
Required Skills

Strong SQL skills
Data pipeline development
Data modelling and warehousing
Programming (Python, Scala, or Java)
ETL and data integration tools
Preferred Skills

Cloud data platforms (Azure Data Factory, Snowflake, BigQuery)
Experience with real-time data processing
Knowledge of data governance frameworks
Application Emails:

Egnesia.Mosha@cctz.co.tz
hr.admin@cctz.co.tz
hr@cctz.co.tz