Senior Java/Big Data (Spark) Developer

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 Tech Lead involves working with strong development teams (2 Senior Java Developers, 2 Regular Java Developers), the opportunity to work with big data improving knowledge in this domain utilizing the resources of an international bank.

Responsibilities:• Build frameworks for ingesting/modeling complex data;• Develop Low-latency caching to service the Front Office;• Integration with various external data sources (Storm, JDBC, KDB+, WebSockets, REST services, flat files).

Mandatory Skills Description:• At least 5 years of experience in backend software development;• Strong Knowledge of Java programming languages;• Apache Spark;• Should be familiar with algorithms and design patterns;• Understanding of distributed systems;• Understanding of CI/CD workflow;• Familiarity with Linux environment including scripting skills.

Nice-to-Have Skills Description:• In-memory databases• Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.)• Financial background• 1+ years of Machine Learning experience in either Java or Python

Languages:English: B2 Upper Intermediate

Key Skills

• Java
• Linux
• Python