Data Engineer

Responsibilities:

• Perform data analysis to identify patterns and relationships, and help translate insights into data models that support business needs.
• Support the implementation of data modeling techniques, such as normalization and indexing, under the guidance of senior team members.
• Collaborate in integrating data models into ETL processes, ensuring data integrity throughout the pipeline.
• Partner with database administrators and infrastructure teams to help integrate data models into the overall architecture.
• Stay updated with new tools and technologies in data engineering and ETL processes, while actively participating in continuous learning.
• Assist in performance tuning and optimization of existing data models, helping to identify and resolve any issues or bottlenecks.
• Document data modeling and ETL processes for future reference, contributing to team knowledge sharing.

Requirements:

• Knowledge of programming languages like Python or Java, with a desire to improve coding skills in a data engineering context.
• Familiarity with data integration tools and exposure to cloud-based data platforms is a plus.
• Experience or exposure to BI tools like Dundas BI is an added advantage, but not required.
• Good communication skills with the ability to collaborate with both technical and non-technical stakeholders.

Key Skills:

• Big data.
• SQL.
• Data pipelines.
• Data warehouse.
• SQL.
• Cloud computing.
• Databases.
• Machine learning.
• Data modeling.

Company Information hidden please Login to view details