Java Team Lead

Project description

A next-generation cross-asset 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 cloud-ready. The platform enables industry-leading 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 Team Lead involves working with strong development teams (3 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

Team Lead experience

Development experience with expertise in the following:

Designing and building APIs (Java);

Java Server-side or Back-end 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 multi-task and work under pressure.

Ability to pick up new concepts and apply the knowledge.

Demonstrated problem-solving 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 In-memory databases and caching

Job Orchestration tools like Autosys or Airflow

Apache Spark

Financial background (where possible)