Data Engineer

 Responsibilities:

• 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:

• Machine learning.
• Coding.
• Communication.
• Data pipelines.
• NoSQL.
• Python.
• Big data.
• Cloud computing.
• SQL.

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