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A leading company in landscape supply is seeking a Data Engineer to design and develop data models for business intelligence applications. The role involves transforming data for analysis, ensuring data accuracy, and collaborating with stakeholders. Candidates should possess a degree in business or data analytics with substantial experience in data engineering and analytics tools. This opportunity offers competitive compensation, a comprehensive benefits package, and a supportive work environment with career advancement potential.
Employer Industry: Landscape Supply and Distribution
Why consider this job opportunity:
- Competitive compensation with opportunities for advancement
- Comprehensive benefits package including medical, dental, and vision plans
- Paid time off and paid holidays for work-life balance
- 401k with company match to support your financial future
- Company-paid life insurance and disability insurance for added security
- Discounts on products and tuition reimbursement for continuous learning
What to Expect (Job Responsibilities):
- Design data models that efficiently support BI applications and self-service use-cases
- Develop transformations to stage data for modeling across various sources within the data warehouse
- Evaluate the accuracy, completeness, and reliability of data sources
- Support data governance and security policies to protect data usage across the organization
- Partner with business science analysts, stakeholders, and other engineers to understand requirements and deliver comprehensive solutions
What is Required (Qualifications):
- Bachelor’s degree in business or a data analytics-related field
- 4+ years of working experience in business intelligence or data engineering
- Broad understanding of SQL for analytics and data transformation (Microsoft SQL Server)
- Advanced experience with leveraging data visualization tools, such as Power BI
- Strong analytical and problem-solving abilities with polished written and verbal communication skills
How to Stand Out (Preferred Qualifications):
- Experience leveraging DAX in the creation of measures
- Proven track record of developing repeatable processes to streamline engineering capabilities
- Self-starter with the ability to prioritize workload effectively
- Desire to tackle complex problems and simplify them into executable solutions
- Proficient in Microsoft Office Suite, specifically Excel
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