Data Engineer

Job Description

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.

Responsibilities:

• 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.• 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.