Vacancy expired!
Role Summary:
- This role will be responsible for transforming extensive and complex data into consumable business capabilities.
- Create system architecture, design, and specification using in-depth engineering skills and knowledge to solve complex development problems and achieve engineering goals.
- Determine and source appropriate data for a given analysis.
- Work with data modelers/analysts to understand the business problems they are trying to solve, then create or augment data assets to feed their analysis.
- Acts as a resource and mentor for colleagues with less experience.
- Lead a team of data engineers to develop data products and tools, explore new technologies, and continually improve tools and processes.
- Create business value by leading the design, get your hands dirty, write code, and ultimately deploy big data and machine learning capabilities.
- Possess expert knowledge in performance, large-scale data distributed system scalability, system architecture, and data engineering best practices.
- Give the highest priority to operational excellence, evaluate system performance, security, design system metrics, and driving quality improvements.
- Provide leadership, work collaboratively, and be a mentor in a fantastic team.
- Your expertise is deep and broad;
- hands-on, producing both detailed technical work and high-level architectural designs. Qualifications:
- 5+ years of recent hands-on in an object-oriented language (Java, Scala, Python).
- 5+ years of experience designing and building data pipelines and data-intensive applications.
- Experience using Big Data frameworks (e.g., Hadoop, Spark), databases for complex data assembly and transformation.
- Hands-on experience working with Sqoop, Pig, Hive, HBase, Spark, Kafka, etc.
- Experience working with healthcare data is a plus.
Vacancy expired!