Data Engineer

•Identify, design, and implement internal process improvements (e.g., automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability)
•Transform manual SQL/SSMS/stored procedure workflows into automated pipelines using Azure Data Factory
•Write clean, reusable, and efficient code in Python (and optionally C# or Scala)
•Leverage distributed data tools such as Spark and Databricks for large-scale processing
•Review project objectives to determine and implement the most suitable technologies
•Apply best practice standards for development, build, and deployment automation
•Manage day-to-day operations of the data infrastructure and support engineers and analysts with data investigations
•Monitor and report on data pipeline tasks, collaborating with teams to resolve issues quickly
•Partner with internal teams to analyze current processes and identify efficiency opportunities
•Participate in training and mentoring programs as assigned or required
•Uphold Quest Analytics values and contribute to a positive company culture
•Respond professionally and promptly to client and internal requests
•Perform other duties as assigned

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