Data Engineer at Lugano Diamonds

Lugano Diamonds logo
Lugano Diamonds

Data Engineer

us flag
United States

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

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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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Lugano Diamonds

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