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Metro location and common data-engineer title create moderate competition.
Core data engineering skills (pipelines, ETL, cloud tools) transfer easily across industries.
Explicit minimal 1+ year requirement but no strict tech stack implies moderate shortlisting strictness.
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Assist in data engineering tasks including data processing, transformation, and integration.
Contribute to development and maintenance of data pipelines to meet data project requirements.
Support data quality assurance and adhere to data standards using relevant engineering tools.
Bachelor's degree in a relevant field or equivalent experience.
1+ years of relevant work experience in data engineering or related domain.
Proficiency in data engineering tools and technologies.
Relevant certifications like Microsoft Azure Data Fundamentals or AWS Data Analytics are a plus but not mandatory.
Has foundational knowledge and practical experience in data engineering fundamentals and pipeline development.
Operates well in collaborative team environments contributing to data-related projects.
Eager to learn emerging data engineering technologies and continuously update industry knowledge.