Data Engineering Lead
4 weeks ago
Description:
We are seeking a highly skilled Data Engineering Lead to join our team at the Blood Bank of Delmarva. 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.
Responsibilities:
* 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.
Requirements:
* 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 Python for sophisticated data manipulation and analytics.
* Demonstrated leadership in data modeling and architecture for both analytics and transactional systems within large-scale environments.
* At least 2 years of experience leading teams of data engineers: Proven ability to mentor and guide teams in the development and optimization of data systems, fostering a collaborative and innovative working environment.
Preferred Qualifications:
* Master's Degree in Computer Science, Data Science, Information Technology or other quantitative disciplines such as Science, Statistics, Economics, or Mathematics.
* 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.
What We Offer:
* Competitive salary range: $150,000.00 p/yr. to $160,000.00 p/yr.
* Opportunity to work with a leading organization in the healthcare industry.
* Collaborative and dynamic work environment.
How to Apply:
If you are a motivated and experienced data engineering professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information].
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