Senior Data Engineer

Johnson Health Tech. Co., Ltd. - Cottage Grove, WI

Full-time - Senior

Cottage Grove, WI

Professional, Scientific, and Technical Services

About the position

The Senior Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure, focusing on transforming and optimizing data across the entire Customer Journey. This leadership role requires extensive experience in data engineering, particularly in large global companies, and involves collaboration with various teams to ensure data quality and support business intelligence and machine learning initiatives.

Responsibilities

• Design and implement scalable data pipelines and ETL processes to transform raw data into meaningful data views for analysts.
• Integrate various 3rd party data sources, ensuring data quality and consistency across the organization.
• Collaborate with business intelligence teams to support data architecture and provide seamless integration with tools like PowerBI.
• Develop and maintain data models that support BI dashboards and reports, ensuring data accuracy and relevance.
• Ensure data accuracy and reliability by working with Data Stewards and designing processes to maximize data quality.
• Work with data scientists to build and deploy machine learning models that enhance business processes, supply chain efficiency, and customer analytics.
• Provide technical guidance and mentorship to junior team members.
• Stay current with industry trends and best practices, incorporating new technologies and methodologies as appropriate.
• Work closely with cross-functional teams to understand data needs and deliver tailored solutions.
• Communicate complex technical concepts to nontechnical stakeholders in a clear and concise manner.

Requirements

• Bachelor's or Master's degree in computer science, Information Technology, Economics or a related quantitative field.
• 7+ years of experience in data engineering for a large, global organization, with a strong emphasis on transforming and optimizing data for Sales, Customer and Supply-Chain Analytics.
• Expert level SQL skills, with the ability to write complex queries and optimize them for performance.
• Experience in supporting data architecture for business intelligence tools, particularly PowerBI.
• Experience leading code reviews, designing and implementing QA of data pipelines.
• Fluency in programming languages such as Python or Scala.
• Prior experience in AWS Databricks or Snowflake.
• Strong understanding of data warehousing concepts, ETL processes, and data modeling.
• Proven experience in building and deploying machine learning models.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Nice-to-haves

• Experience with BI tools such as PowerBI, Looker or Tableau.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Experience with Marketing Operations tools like Braze.
• Advanced degree in a quantitative field.