Data Engineer

Senior Data Engineer Job Opportunity at Johnson Health Tech Companies

Company: Johnson Health Tech Companies

Job Title: Senior Data Engineer

About Us

At Johnson Health Tech Companies, our mission is to deliver unparalleled service and insights to our clients. We prioritize efficiency and effectiveness in all our operations. We are currently seeking a seasoned Senior Data Engineer to join our dynamic team and help drive data-driven decision-making.

Job Summary

We are in search of a skilled Senior Data Engineer responsible for designing, developing, and maintaining our data infrastructure. The role focuses on transforming and optimizing data throughout the Customer Journey. The ideal candidate must have 5-7 years of experience in data engineering or data science, along with extensive knowledge of Databricks or Snowflake, and expert-level SQL skills. Additionally, the candidate should have experience supporting data architecture for business intelligence tools like PowerBI and machine learning models. Strong data interpretation skills and the ability to communicate technical details within a business context are essential.

Key Responsibilities

Data Transformation and Integration

• Design and implement scalable data pipelines and ETL processes to transform raw data into meaningful insights for supply chain, customer, and marketing analytics.
• Integrate various data sources, ensuring data quality and consistency across the organization.

Business Intelligence & Analytics Engineering

• Collaborate with business intelligence teams to support data architecture and ensure seamless integration with tools like PowerBI.
• Develop and maintain data models that support BI dashboards and reports, ensuring accuracy and relevance.
• Create impactful data visualizations to communicate key trends and insights.

Machine Learning Model Development

• Work with data scientists to build and deploy machine learning models that enhance business processes, supply chain efficiency, and customer analytics.
• Ensure the integration of machine learning models into existing data pipelines and infrastructure.

Technical Leadership

• Provide technical guidance and mentorship to team members.
• Stay current with industry trends and best practices, incorporating new technologies and methodologies as appropriate.

Collaboration and Communication

• Work closely with cross-functional teams, including supply chain, marketing, and customer service, to understand data needs and deliver tailored solutions.
• Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Economics, or a related field.
• 5-7 years of experience in data engineering, focusing on transforming and optimizing data for Supply Chain and/or Customer analytics.
• Proficiency in Databricks or Snowflake.
• Expert 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 programming in languages such as Python or Scala.
• 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, with the ability to work effectively in a team-oriented environment.

Preferred Qualifications

• 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 or an MBA.

Apply Today

If you are a dedicated Senior Data Engineer looking to make a significant impact, we would love to hear from you. Join the Johnson Health Tech Companies team and contribute to our