Lugano Diamonds
Data Engineer
140k - 140k USD
On-site
Full Time
#Technology
#SQL
#Data Warehousing
#ETL
#Azure
#Power BI
#Statistical Analysis
#Machine Learning
#Data Visualization
#Data Analysis
#Software Engineering
Lugano Diamonds is looking for a Data Engineer
Full TimeSeniorOn-siteUnited StatesTechnologySQLData WarehousingETLAzurePower BIStatistical AnalysisMachine LearningData VisualizationData AnalysisSoftware EngineeringEnglish401kPaid time offMedical insurance
140k - 140k USD per year
At Lugano Diamonds, we operate under our core values, known as The Lugano Way, which centers on a proactive, people-first mentality. We are looking for a Senior Data Engineer to join our team in the United States to build the foundation of our data infrastructure and help us turn raw information into strategic business insights.
Responsibilities
- Design and maintain scalable pipelines to process and analyze large datasets.
- Execute complex data analysis to uncover trends and actionable patterns.
- Build and refine data models, algorithms, and machine learning solutions to support our business goals.
- Manage end-to-end ETL processes to ensure efficient data extraction and transformation.
- Create impactful data visualizations and reports for stakeholders across the company.
- Partner with various departments to identify their data needs and deliver tailored solutions.
- Maintain high standards for data integrity through rigorous validation and testing.
- Keep pace with emerging industry trends and best practices in engineering and analytics.
Must-haves
- Proven experience as a Data Engineer in a fast-paced, high-growth environment.
- Expert proficiency in SQL and relational database management.
- Strong technical background in data warehousing and ETL frameworks.
- Hands-on experience with Azure data technologies, such as Synapse, Data Lake, and Databricks.
- Proficiency with Power BI and other statistical analysis tools.
- An analytical mindset with the ability to translate complex data into clear, actionable insights.
- Excellent organizational skills to manage priorities in a dynamic setting.
- A Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- Fluency in English.
Nice-to-haves
- A solid understanding of machine learning techniques and algorithms.
Benefits
The targeted base compensation for this role is $140,000 per year.
- 401k plan with company match.
- Comprehensive medical insurance options.
- Paid time off.
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