Job Title: Senior Java Spring Boot and Scala Engineer
Job ID: 2023-11934
Job Location: Remote
Job Travel Location(s):
# Positions: 2
Employment Type: W2
Candidate Constraints:
Duration:Long Term
# of Layers:0
Work Eligibility:All Work Authorizations are Permitted
Key Technology: Spring Boot, Spark, Scala, Hadoop
Job Responsibilities:
- Ability to work in a fast-paced, team-oriented environment
- Ability to complete the full lifecycle of software development and deliver on time
- Ability to work with end-users to gather requirements and convert them to working documents
- Strong interpersonal skills, including a positive, solution-oriented attitude
- Must be passionate, flexible and innovative in utilizing the tools, their experience, and any other resources, to effectively deliver to very challenging and always changing business requirements with continuous success
- Must be able to interface with various solution/business areas to understand the requirements and prepare documentation to support development
- Healthcare and/or reference data experience is a plus
- A willingness and ability to travel
- Right to work in the recruiting country.
- Drive mentality of building well architected applications for AWS Cloud
- Drive the mentality of quality being owned by the entire team
- Identify code defects and work with developers to address quality issues in product code.
- Finding bottlenecks and thresholds in existing code through the use of automation tools.
- Articulate clear business objectives aligned to technical specifications and work in an iterative agile pattern daily.
- Ownership over your work task and are comfortable interacting with all levels of the team and raise challenges when necessary.
Skills and Experience Required:
- 9 + years of relevant experience in JAVA Spring Boot/Scala Engineer
- 9+ years strong JAVA Spring Boot skills
- 6+ year’s experience with Spark
- 6+ years experience with Scala
- 1+ years experience with Hadoop, Hive, Impala, HBase, and related technologies
- 1+ years strong experience with low latency (near real time) systems and working with Tb data sets, loading and processing billions of records per day
- 3+ years experience with AWS/Lambda architectures
- 1+ years experience with MPP, shared nothing database systems, and NoSQL systems