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Mid-level data engineer in metro with common 2-5 year requirement and wide applicant pool.
Technical skills are transferable, but SSIS/ADF and Databricks tooling create moderate domain specificity.
Requires explicit 2-5 years plus mandatory SSIS/ADF/Databricks skills, making filters strict.
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Develop, test, and deploy ETL processes using SSIS and Azure Data Factory (ADF).
Load and troubleshoot new client data, identifying issues and working with internal teams and clients for resolution.
Ensure security, privacy, and regulatory compliance while suggesting process improvements for system performance.
2-5 years experience with SQL Server and ETL processes.
Proficiency in SSIS and Azure Data Factory, including SQL query and stored procedure troubleshooting.
Bachelor’s degree in Computer Science or related field, or equivalent experience.
Experience with Azure or cloud technologies including Databricks; Python knowledge mentioned but not listed as mandatory.
Experienced in handling client data integration and resolving data issues collaboratively.
Comfortable working independently as well as in team settings managing multiple priorities.
Strong technical focus on SQL Server development, ETL pipelines, and cloud data services in an enterprise environment.