Data Engineering Lead

1 month ago


New York, New York, United States Rhode Island Blood Center Full time
Lead Data Engineer

At Rhode Island Blood Center, we are seeking a highly skilled Lead Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, implementing, and leading initiatives for optimizing databases and data pipelines.

Key Responsibilities:

  • Lead the architectural design and optimization of robust, scalable data pipelines using SQL, Python, and cloud-based ETL tools.
  • Oversee data flow and processing to support large-scale operations and ensure system-wide efficiency.
  • Develop complex data models to accurately mirror critical business processes, ensuring seamless integration with our comprehensive data architecture.
  • Shape and enhance our data architecture strategy, making high-level decisions on data storage, consumption, integration, and management across cloud platforms.
  • Orchestrate Agile/SCRUM frameworks to drive efficient project delivery, leading sprints and stand-up meetings, and implementing strategies to optimize processes across teams.

Requirements:

  • Bachelor's Degree in Computer Science, Data Science, Information Technology, or other quantitative disciplines.
  • 10+ years of progressive experience in data engineering, with proven expertise in designing, implementing, and leading initiatives for optimizing databases and data pipelines.
  • Advanced proficiency in SQL and Python for sophisticated data manipulation and analytics.
  • At least 2 years of experience leading teams of data engineers, with a proven ability to mentor and guide teams in the development and optimization of data systems.
  • Expertise with at least one major cloud data platform (Azure, AWS, Google Cloud) with extensive application in data engineering projects.

Preferred Qualifications:

  • Master's Degree in Computer Science, Data Science, Information Technology, or other quantitative disciplines.
  • Experience with the Microsoft Azure technology stack or similar technologies in competing platforms.
  • Practical knowledge of data analytics and visualization tools to aid in data-driven decision making and reporting.

Salary: $150,000.00 p/yr. to $160,000.00 p/yr. depending on location and experience.



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