Data Engineer

Data Engineer

• Location: New York City
• Work type: On Site 3 days a week.

Role:

• Design and construct new data pipelines that will power the future.
• Engineer, design, and integrate high-performance data pipelines, ensuring a smooth flow of every byte.
• Contribute to critical architectural decisions and system evaluations, shaping the trajectory of our data landscape.
• Transform complex data into clear, compelling models for both technical audiences and C-suite stakeholders.
• Quality Concierge: Ensure impeccable data quality, implementing continuous improvement practices to maintain pristine data.
• Warehousing Whisperer: Demonstrate profound familiarity with data warehousing concepts and best practices, embodying a true data veteran.

Requirements:

• Experience with Azure Data Factory and Databricks.
• Over 3 years of Data Engineering experience, demonstrating seasoned expertise.
• Proficiency in managing and transforming data in both on-premises and cloud environments.
• Strong SQL skills and a deep understanding of data warehousing and ETL best practices.
• Experience in designing, building, and monitoring data pipelines using Azure Data Factory.
• Comprehensive understanding of data warehousing, data cleaning, data pipelines, and other analytical techniques.