Senior BigData Java Developer (Spark, Hive, Hadoop) at Luxoft – UA | Jobyssey

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which 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 BigData 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 outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and 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

Mandatory Skills Description:

Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark.
At least 5 years of experience in software development, including professional backend software development experience;
Strong Knowledge of Java programming languages
Should be familiar with algorithms and design patterns
Familiarity with Linux environment, including scripting skills
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.

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 Skills Description:

Experience In-memory databases and caching
Job Orchestration tools like Autosys or Airflow
Apache Spark
Financial background (where possible)

Languages:English: C1 Advanced

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