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We are looking for a driven Data Engineer to join our team in Middleton, Wisconsin. This position offers an exciting opportunity to work on cutting-edge data solutions, collaborating with an agile team to design, implement, and maintain robust data pipelines and reporting tools. The ideal candidate will have hands-on experience with modern data engineering technologies and a strong commitment to delivering high-quality results.
Job Responsibility:
Develop and maintain data pipelines using tools such as Azure Data Factory and Databricks
Create and optimize Power BI dashboards to visualize and report key business metrics
Collaborate with business analysts to translate requirements into actionable data solutions
Support the integration and management of data lakes using Azure Data Lake
Participate in daily standups and agile team activities to ensure project alignment
Implement ETL processes to extract, transform, and load data effectively
Work with Apache Spark and other frameworks to process large datasets efficiently
Troubleshoot and resolve data-related issues to ensure seamless operations
Provide technical expertise in the use of DAX technologies to enhance reporting capabilities
Contribute to the customization of client-specific data solutions as needed
Requirements:
Minimum of 3 years of experience in data engineering with a focus on attention to detail
Proficiency with Power BI, including DAX technologies
Hands-on experience with Databricks and Azure Data Factory
Knowledge of Azure Data Lake and data lake architecture
Familiarity with ETL processes and tools
Experience with Apache Spark for data processing
Strong programming skills in Python
Background in working within agile teams and methodologies
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