Java Data Engineer

With over 2,000 employees of 98 nationalities, Exness is the place for global teamwork, incredible leadership, a learning culture, and constant development. Unlimited by time zones, Exnessians from around the world have worked seamlessly together since 2008 to provide our traders with the best possible trading experience.

Your role at Exness:

You will be joining the Trading Division and you will be working on processing the Trading Data and provide data for both internal and external clients.  This role is under one of the main business functions and we are looking to hire a highly skilled Senior Data Engineer with Java experience who has experience ideally in Trading. 

You will:

• Construct the architecture for data integration solutions and ensure it supports business requirements.
• Develop new data solutions such as ETLs, pipelines, integration services, batch and stream processing, enrichment services, and others.
• Maintain current data solutions while building a new data platform and ensure a smooth transition from the existing architecture to the target one.
• Build the infrastructure required for optimal data storing, data processing, and data provisioning to customers, and the possibility to work with data for external teams—processing, transforming, merging, doing ad hoc activities, and calculating.
• Prepare datasets from various sources by request.
• Set up monitoring, define SLAs, and analyze metrics for data delivery and processing.
• Develop a built-in data reconciliation solution.
• Assemble large, complex data sets that meet functional and non-functional business requirements (for business cases).
• Recommend ways to improve data reliability, efficiency, and quality. 

What we expect from you:

• Expert skills in Java is required 
• Experience with Kafka, Flink, or similar technologies is a must
• Experience with in-memory databases such as Redis, Tarantool, or other will be considered as an advantage 
• Proficiency in database design with massively parallel processing appliances, such as Vertica, BigQuery, ClickHouse, PostgreSQL
• Expertise in structured query language (SQL) and query optimization
• Experience with designing and building ETL pipelines
• Git DVCS familiarity 
• Experience in building scalable, high availability analytics solutions
• DevOps culture (continuous integration and continuous delivery) and agile mindset
• Readiness to do a lot of RND
• Detail-oriented personality with a passion for data quality
• Ability to work with strict deadlines
• Capability in dealing with constructive critics and the know-how to develop relationships with the team to achieve common goals
• Experience in dealing with Trading data will be considered as an advantage
• Attentive listening skills, being adept at persuasion and argument
• Upper-intermediate spoken and written English

Your journey after applying:

1. First interview (30 minutes)
2. Technical + Live Coding interview (1,5 hours) 
3. Final interview (1 hour)

Sounds like you? Apply.

Please note: We occasionally amend or withdraw Exness jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Exness/Exness Group companies around the world. Exness Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Exness. Anyone who demands such a fee is not an authorized Exness representative and you are strongly advised to refuse any such demand.

At Exness, we're an equal opportunity employer where every individual is valued. No matter your race, color, religion, sex, national origin, sexual orientation, gender identity or disability, we welcome you. As an international fintech company, we embrace the richness of our diverse team, respecting each individual and promoting gender equality for all genders in our workforce.