We are seeking a hands-on Senior Big Data Software Engineer to help build out the AWM Data Reservoir.
AWM clients trade FX, Equities, Fixed Income, Mutual Funds and many other asset classes on a global basis; generating tens of millions of events per day. All client positions and trading activity needs to be loaded into the AWM Data Reservoir where it will be combined with reference and market data. This data will be used to drive complex analytics to examine performance, profitability and new business opportunities. The AWM Data Reservoir will also be the main data source for all our business critical applications; our external website, various in-house reporting tools, Regulatory Reporting and Compliance.
This individual will be involved in all aspects of the above and will be expected to help design, build and test the strategic AWM Big Data HDFS platform. They will have to create massively scalable, resilient solutions which have very low operational costs. They will be expected to work with other Big Data engineering teams within the firm to agree and implement best practices. They will need to work closely with data providers and data modelers to understand the data and its business criticality.
•Write code and set coding standards / best practices within the team.
•Create automated tests for software created and define automated testing best practices within the team.
•Lead technical design and review sessions.
•Ensure solutions are scalable and resilient.
•Participate in all aspects of the Software Development Lifecycle.
•Incorporate security requirements into design.
•Understand the structures, usage and sources of data.
•Establish strong working relationships with team members and across the business.
•Handle individual workload and deliver project milestones on time and on budget.
•Demonstrate ability to work well in a team environment.
•8+ years of relevant experience working in data centric applications (Big Data or very large RDB).
•Highly proficient in Java & Scala.
•Very experienced in Big Data components ( HDFS, HBase, Hive, Kafka, ZooKeeper ).
•Excellent analytic and problem solving skills.
•Good communication skills; written and oral.
•Bachelor’s Degree in a related subject ( Computer Science or Engineering ).
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