New York, New York
East End Resources
Hands-on development experience working with large data volumes, building distributed processing using Java or Python with Spark, data frames, externalizing business rules etc. Build batch vs. event driven data processing.
Design for high level of concurrency to ensure data integrity without compromising performance
Working in a Agile squad as a contributor, working with other developers towards a common goal Modeling and implementing database schemas
Coming up with system architecture/re-design proposals for greater efficiency and ease of maintenance and developing software to turn proposals into implementations
The candidate must have minimum 10 years hands-on IT experience, preferably in the financial services industry working on all aspects of SDLC with focus on large volume data processing applying complex business rules, performing transformation, aggregation and designing data persistence model for Transactional Data Processing (OLTP) as well as Data Warehouse.
Must have strong ability to work on multiple IT projects simultaneously, working with the stakeholders, clients and other system owners to drive the projects to successful completion.
Must have previous involvement in data modeling and/or systems architecture.
Responsibilities will include technical analysis, design, development and perform enhancements.
Strong hands-on knowledge of Python or Java as a distributed data developer, working on large data volumes (20m+ rows per day)
Ability to deliver multiple simultaneous projects under pressure of regulatory driven deadlines
10+ years of relational database experience with emphasis on data processing as described above Hands-on experience with Greenplum / DB2 / Teradata / Oracle
– provided by Dice
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