Data Engineer

 Responsibilities:

• 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:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Some hands-on experience in data engineering, data modeling, or ETL processes is a plus.
• Proficiency in SQL and familiarity with basic data modeling techniques.
• Analytical and problem-solving mindset with a desire to learn how to translate business requirements into data models.
• Basic understanding of relational databases and/or NoSQL databases and familiarity with data warehousing concepts.

Key Skills:

• Data pipelines.
• Machine learning.
• SQL.
• Cloud computing.
• Data warehouse.
• Big data.
• ETL.
• Python.
• NoSQL.

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