Job description:
- Bachelors degree in Computer Science, Engineering, Math, or a related field, or equivalent experience
- 4+ years of experience with big data technologies, particularly Hadoop and Spark
- Proficiency in programming languages such as Scala or Java
- Experience with Kafka and data streaming platforms
- Working knowledge of Cloudera, AWS or similar cloud platforms
- Experience building and maintaining microservices
- Strong understanding of data architecture principles
- Experience working in an Agile environment
- Proficiency with version control systems like Git/GitLab
- Experience with CI/CD tools like Jenkins
- Ability to work independently and as part of a team
Preferred Qualifications:
- Experience with Spark/Scala/Akka/Kafka Streams/DataFrame/DataSet
- Proficiency with containerization tools like Docker, Kubernetes
- Experience with big data tools like Oozie, Hive or similar
Responsibilities:
- Develop and implement Spark based solutions for healthcare applications
- Collaborate with data scientists and other engineers to design and build scalable solutions
- Write, test, and maintain high-quality code
- Participate in design and code review sessions
- Troubleshoot and resolve technical issues
- Document your work and share knowledge with the team
- Contribute to continuous improvement initiatives and technology adoption
Who You Are:
- Curious:You are always looking to deepen your understanding of complex problems.
- Creative:You enjoy coming up with innovative solutions to difficult challenges.
- Practical:You focus on delivering solutions that have real-world applications and value.
- Focused:You maintain a clear vision of your goals and work diligently to achieve them.
Determined:You are committed to contributing to the development of advanced machine learning capabilities
