Lead Data Engineer
- Bachelor's Degree Computer Science or related field. Required
- An additional 4+ years of professional work experience is acceptable in lieu of formal degree. Required
- Minimum 6 years Database systems (SQL and NoSQL), Data warehousing solutions, ELT and ETL tools Required
- Proficiency with at least one modern programming language (e.g. Python, Java, Scala, or C#) Required
- Understanding of distributed systems Required
- Understanding of algorithms and data structures. Working knowledge of software development practices and processes Required
- Working knowledge of one or more Cloud platforms (Azure preferred) Required
- Excellent communication and collaboration skill Required
- Experience with Machine learning
- Experience with Data APIs
- Proficiency in software engineering
- Experience in clinical data and CRM systems
- Experience with Data Warehouse and Data Lake concepts
- Experience with cloud computing
- Experience building real-time and batch data pipelines
- Proficiency with multiple programming languages (e.g. SQL, .NET, Python, JavaScript)
- Ability to identify complex problems, involve key parties, gather pertinent data, and consider various options in the decision-making process. Skilled at applying problem solving skills in a logical, systematic way to resolve issues.
- Strong attention to detail and accuracy and a sense of personal accountability.
- Self-motivated and well organized with strong time management skills and the ability to manage multiple priorities.
- Ability to work independently or in a team environment and act as a mentor to less experienced team members as well as to work collaboratively across the organization: interpret user requirements, identify the root cause, research possible solutions, identify most feasible solutions.
- Strong interpersonal communication skills and the ability to work well with all levels of the organization.
- Personal desire for continuous knowledge and skill growth and development.
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