Lead Data Engineer

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Overview:

At New York Blood Center Enterprises (NYBCe), one of the most comprehensive blood centers in the world, our focus is on cultivating excellence by merging cutting-edge innovation with diligent customer service, groundbreaking research, and comprehensive program and service development.
Join us as we work towards meeting and exceeding the growing needs of our diverse communities, further our lifesaving strategic goals in a rapidly changing environment, and expand our impact on the local, national, and global communities we serve.



Responsibilities:

As the Lead Data Engineer, you get to innovate at the intersection of technology and human compassion crafting the backbone of our infrastructure.
Your role is pivotal, serving as a key architect developing data solutions that directly impact lives.
Every algorithm is a potential lifeline for patients relying on timely blood transfusions.
Think of yourself as a master builder of intricate systems that support all functions across our organization to ensure the highest standards for our blood centers.

But your job isnt just about the numbers, youre also passionate about making a difference.
Knowing patients rely on what you do inspires you to execute effective strategies.
You are a leader in every sense of the word, encouraging your teams in a hands-on capacity to drive business impact so everyone feels part of this rewarding experience.
At [New York] Blood Center, you are all of these things and more.

New York Blood Center was established by hospitals in New York s a private, not for profit agency.
Today we are part of the New York Blood Center and are among the nations premium providers of blood products and services.
Were looking for skilled data enthusiast leaders who enjoy developing innovative solutions and get a strong sense of fulfillment working within the healthcare community.
Heres how you can help us make a difference

Candidates must be able to report into one of the following NYBCe locations:
New York City, NY; Kansas City, Missouri; St.
Paul, Minnesota; Providence , RI and Newark, DE.

Primary Responsibilities:

  • Data Overseer:
    Lead the architectural design and optimization of robust, scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks.
    Oversee data flow and processing to support large-scale operations and ensure system-wide efficiency.
    Use your skills as a guru to lead teams.
  • Data Maestro Director:
    Direct the development of complex data models to accurately mirror critical business processes, ensuring seamless integration with our comprehensive data architecture, including Big Data frameworks like Spark.
  • Insights Wrangler:
    Shape and enhance our data architecture strategy, making high-level decisions on data storage, consumption, integration, and management across cloud platforms (Azure, AWS, or Google Cloud).
  • Information Artisan:
    Orchestrate Agile/SCRUM frameworks to drive efficient project delivery.
    Lead sprints and stand-up meetings, implementing strategies to optimize processes across teams.
  • Lead Wizard and Sage:
    Guide collaboration efforts with data scientists, BI teams, and engineering groups to translate intricate data requirements into executable engineering strategies.
    Mentor senior teams for continuous growth, nurturing a culture of excellence.
  • Purveyors of Standard Procedures:
    Establish and enforce the highest data quality standards and governance policies, ensuring reliability and regulatory compliance across all data operations.
  • Analytical Guardians:
    Continuously monitor and refine the performance of data infrastructure, resolving high-level bottlenecks in cloud and Big Data environments.
  • Information Oracle:
    Stay at the forefront of emerging data engineering technologies and methodologies, leading implementation of innovative practices that enhance our capabilities.

Your work at [New York] Blood Center directly impacts patient care by providing clinicians with valuable data for diagnosis and treatment.
Join us in our passion for helping others.



Qualifications:

Education:

  • Bachelors Degree in Computer Science, Data Science, Information Technology or other quantitative disciplines such as Science, Statistics, Economics, or Mathematics.

Essential Experience:

  • 10+ years of progressive experience in data engineering, with proven expertise in designing, implementing, and leading initiatives for optimizing databases and data pipelines.
  • Extensive hands-on experience with SQL Server, Oracle, or other relational database management systems (RDBMS).
  • Advanced proficiency in SQL and .

Read the full job description and apply online on the recuiter's web-site

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