Welcome to Dairy Queen, where we believe in creating smiles and memories through our delicious treats and exceptional customer service. We are currently seeking a highly skilled and motivated Data Engineer (Hybrid) to join our team and play a crucial role in managing and analyzing our vast data assets. As a Data Engineer at Dairy Queen, you will have the opportunity to work with cutting-edge technology and help us drive data-driven decisions to enhance our customer experience and drive business growth. If you have a passion for data and a strong technical background, we would love to hear from you! Read on to learn more about the qualifications we are looking for in our ideal candidate.
- Develop and maintain data architecture, data pipelines and data warehouses to support our business needs.
- Design, implement and optimize data models and databases to ensure efficient and accurate data storage and retrieval.
- Collaborate with cross-functional teams to identify and gather data requirements for various business use cases.
- Work closely with data analysts and data scientists to ensure data accuracy and integrity for analytics and reporting purposes.
- Develop and implement data quality and data governance processes to ensure data consistency and reliability.
- Monitor and troubleshoot data pipelines and databases to identify and resolve any issues or errors.
- Stay up-to-date with emerging data technologies and trends and make recommendations for their integration into our data infrastructure.
- Develop and maintain documentation for data processes, procedures and standards.
- Train and educate team members on data engineering best practices and tools.
- Collaborate with business stakeholders to understand their data needs and provide solutions to meet those needs.
- Develop and maintain data security protocols to protect sensitive data.
- Manage and maintain data storage and backup systems.
- Ensure compliance with data privacy regulations and laws.
- Continuously monitor and optimize data performance to meet business requirements.
- Provide technical guidance and support to other team members as needed.
Strong Background In Both Data Engineering And Data Science, With Experience In Developing And Implementing Data-Driven Solutions.
Proficiency In Programming Languages Such As Python, Java, And Sql, As Well As Experience With Data Manipulation And Analysis Tools Such As Pandas And Spark.
Familiarity With Cloud-Based Data Platforms, Such As Aws Or Azure, And Experience With Data Warehousing And Etl Processes.
Knowledge Of Data Visualization Tools, Such As Tableau Or Power Bi, And The Ability To Create Dashboards And Reports To Communicate Insights To Stakeholders.
Experience In The Food Service Or Retail Industry, With An Understanding Of The Unique Data Challenges And Opportunities In The Dairy Queen Business.
Sql
Data Analysis
Database Management
Data Modeling
Cloud
Data warehousing
Data Mining
ETL (Extract, Transform, Load)
Etl Tools (E.g. Informatica, Talend)
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Critical thinking
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer (Hybrid) in Detroit, MI, USA is $96,341-$132,017 per year. This range may vary depending on factors such as experience, education, and specific job responsibilities. Additionally, bonuses and benefits may also be included in the overall compensation package.
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Dairy Queen is an American chain of soft serve ice cream and fast food restaurants owned and operated by International Dairy Queen, Inc., which also owns Orange Julius, and formerly owned Karmelkorn and Golden Skillet Fried Chicken.
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