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Senior Data Engineer..

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Responsibilities; Write production code and develop applications/interfaces for Trading Analytics. • Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data ows, and highly automated data cleansing. • Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area. • Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles. • Provide support regarding Data Analytics platform and software. • Automate, monitor, and improve performance of quantitative models. • Interact with stakeholders and external vendors to optimize data and software infrastructure. • Assist Product owner with technical questions, creating reports and implementation roadmaps, technology assessment and decisions. • Work and collaborate with stakeholders in an Agile-based approach. Qualications & Skills; • Bachelor Degree in Information Technology, Computer Science, Engineering. • 5+ years of work experience as a Developer/Software Architect. Experience in implementing Financial software is a plus. • Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases transformations. • Advanced coding skills in programming languages such as Python, Scala, and Java. Previous knowledge of C++, C#, and/or Haskell would be a plus. • Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS. • Knowledge of Spark, Databricks, and Kafka. • Previous knowledge of Oracle, MS-SQL, MongoDB is a plus. • Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus. • Knowledge of object-relational mapping and object-oriented databases. • Experience with real-time analytics, OneTick and/or KDB+ is a plus. • Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus. • Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus. • Collaborative, team player, open minded, and easy to work with. • Proficient presentation skills and high attention to detail. • Able to explain technical results to nontechnical audiences.