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The EL - OffS ET Engineer role involves implementing Python-based extract/load scripts and dbt transformation models, focusing on data migration and accuracy. Candidates should have over 5 years of experience in data engineering, with strong skills in Python and SQL. Responsibilities include developing scripts, implementing models, and collaborating with senior engineers.
Job Responsibility:
Develop Python scripts to extract data from source systems and load it into the target warehouse
Implement dbt models based on approved transformation designs and patterns
Write basic dbt tests and SQL validation queries
Support data reconciliation and defect resolution activities
Participate in SIT and UAT support cycles
Maintain clear and consistent documentation for developed pipelines and models
Collaborate with Senior Data Engineers and Technical Leads to clarify requirements and resolve issues
Requirements:
5+ years of experience in data engineering or ETL/ELT development
Working knowledge of Python for data processing
Strong SQL skills
Hands-on or foundational experience with dbt
Familiarity with data warehouses and batch processing concepts