Data Engineer

Job Title

Data Engineer

Job Summary

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and data architectures that support analytics, reporting, and business intelligence solutions.

This role 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
  • 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