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Data Engineer
2 months ago
Who we are...
SafeBasements is a basement waterproofing and foundation repair service provider and product manufacturer, and an innovator in both client satisfaction and product dependability. Acquired by Percheron Capital in 2023, we are looking for talented team members to be a part of our exciting growth plans
What we need...
This position is responsible for designing, building, and maintaining scalable data pipelines and systems to support the organization’s data needs. This role requires a combination of technical expertise, analytical skills, and a passion for data-driven decision making.
While data engineering is the primary responsibility of this role, we are looking for a wide range of experience in overall IT fields such as developer experience and CRM system configuration/maintenance.
What you'd do...
Design and Development
- Develop and maintain scalable data pipelines and ETL processes to collect, clean, and transform data from various sources.
- Design and implement data models, databases, and data warehouses to support business analytics and reporting needs.
- Work with data analysts, and other stakeholders to understand data requirements and deliver solutions.
Data Integration
- Integrate data from multiple data sources, ensuring data quality and integrity.
- Implement data validation and monitoring systems to ensure data accuracy and reliability.
Performance Optimization
- Optimize data processes and systems for performance, scalability, and reliability.
- Identify and resolve bottlenecks in data processing workflows.
Collaboration and Communication
- Collaborate with cross-functional teams to define and prioritize data engineering projects.
- Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
Documentation and Best Practices
- Create and maintain documentation for data pipelines, systems, and processes.
- Establish and enforce best practices for data engineering, including coding standards, testing, and version control.
What you'd need...
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. Master’s degree preferred; relevant experience may be substituted for a degree.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with multiple SQL databases.
- Hands-on experience with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi, Hevo, AWS Glue).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
What will really make your candidacy stand out...
- Knowledge of data visualization tools (e.g., Tableau, Power BI).
- Understanding of data governance and security principles.
This position is based in our office in St Louis Park, MN. Because we are in the early stages of building our Corporate team, we have found it valuable to be together in the office Monday-Thursday, and most of us work remotely on Fridays. We all have flexibility to work remotely on ad hoc days as personal demands arise.
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