Java Devs US Luxoft
Java Devs US Luxoft
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Salary Not Disclosed
1 Vacancy
Job Description
ProjectDescription
A nextgeneration crossasset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients that is built on big data architecture highly scalable and cloudready. The platform enables industryleading analytics client reporting regulatory compliance surveillance supervisory reporting and data science solutions (data flame). The project tech stack: Java Scala Spring SQL Kafka Hadoop.
We are looking for a strong Senior Java Developer capable of being able to work within the team being a mentor for team members communicating with stakeholders and being accountable for the whole team and the outcomes of activities that are assigned.
The role of the Tech Lead involves working with strong development team 6 Senior Java Developers) the opportunity to work with big data improving knowledge in this domain utilizing the resources of an international bank.
Responsibilities
Design and build frameworks for ingesting/modeling the complex Risk data
Develop Low latency caching to service Front office risk systems
Setup monitoring and management for services
Provide SME support for development of automated QA scripts
Management of Team
Skills
Must have
Tech/Team Lead experience
Development experience with expertise in the following:
Designing and building APIs (Java);
Java Serverside or Backend development;
Core Java;
Java collections and multithreading;
Java Memory Management;
Database and SQL (writing stored procedures designing table schemas).
Understanding of distributed systems.
Understanding of CI/CD workflow.
Linux
Ability to multitask and work under pressure.
Ability to pick up new concepts and apply the knowledge.
Demonstrated problemsolving skills.
Enthusiastic and proactive approach with a willingness to learn.
The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment
Nice to have
Experience in Hadoop Ecosystem (HDFS Impala HIVE HBASE etc.
Experience Inmemory databases and caching
Job Orchestration tools like Autosys or Airflow
Apache Spark
Financial background (where possible)
Employment Type
Full Time
