We are seeking an experienced Senior Data Engineer/Solution Architect who has experience with writing production code and developing applications and interfaces for Trading Analytics, expertise in Data Lake/Warehouse and Azure/AWS Cloud.
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 flows, 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.
Requirements:
- Master or PhD in Information Technology, Computer Science, Engineering, or alike.
- 7+ 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, Data Lakes, Data flows, and Data 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 non-technical audiences.
