Project Description
The project is an enterprise grade reference data distribution platform serving hundreds of clients globally within one of the largest US based investment companies in the world. The platform is a set of services, which provides access to various reference data for internal company applications in multiple ways:
– set of JSON documents on demand via REST;
– set of JSON documents in a single file via batch loading;
– post-processed JSON response by specific business logic via REST;
– real-time data streaming according to particularly specified criteria;
Our data collections count hundreds of millions of records, tens of millions updates on a daily basis, which describe securities, prices, FX rates, institutional organizations, regulatory information etc. Our services provide data for trade capturing systems, reporting engines, clearing applications and other internal company systems.
Technologies Stack:
Scala, Akka HTTP, Akka streams, Apache Flink, Apache Storm, Kafka, MongoDB, ElasticSearch, Scalaz, Cats, Shapeless, Docker, Spec2, SBT
Team Description:
– family-like friendly team;
– team opened for the new challenges;
– team which owns technical decisions and drives business initiatives;
– team where everyone could contribute in architecture/design development;
– team where all good ideas are accepted;
– team which likes clean and well-documented code;
– team where the word “refactoring” is frequently used and applied;
Responsibilities
– Preparing test cases for the features
– Conducting early acceptance testing
– Data discrepancy investigation
– Eliciting, elaborating and documenting requirements
– Investigating QA Automation options and implementing an automation strategy
Skills
Must have
– Bachelor Degree
– Proven experience in a technical QA position
– Analytical mindset with good attention to detail
– Practical experience in both reading and documenting functional requirements
– Excellent communication skills (work will be conducted in English)
– Team-player and ability to build strong working relationships amongst diverse peers
Nice to have
– Master’s Degree in Information Technology, Computer Science, Data Science
– Subject matter expertise in one or more functional areas within a bank
– Understanding of agile software development methodologies
– Experience with large-scale datasets and/or transactional data
– Prior experience with reconciliation and data quality reporting
Languages
English: B2 Upper Intermediate
Seniority
Regular
Relocation package
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