Data Engineer: Build Reliable ETL Pipelines & Models

A financial technology firm is seeking a Data Engineer to build and maintain reliable data pipelines and models, focusing on SQL Server, SSIS, DBT, and Python. The role supports DataOps, testing, and contributes to deployment automation. Candidates should have 3-6 years of experience in data engineering with strong skills in SQL and familiarity with tools like Fivetran, Tableau, and Azure DevOps. This position requires a proactive approach to quality and adherence to standards.
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