Lead development activities with adherence to the best practices and patterns of big data engineering. Proficient in architecting highly scalable distributed systems, using various open-source tools.
Skills:
Solid foundation in and experience with data and analytics related concepts, strategies, and tools.
Data Engineering Development: PySpark, Python, Pandas
Analytics: Data Ingestion, Data Cleansing, Data Preparation/Transformation, Analytics (Prescriptive, Predictive), Analytics (Visualization), and Reporting
Familiarity and experience with DevOps and Continuous Integration/Delivery concepts and tools such as Bitbucket, Bamboo, Ansible, Sonar, and the Atlassian tool suite
Willingness and passion for learning and experimenting with new technologies, tools, and processes
Strong, demonstrated analysis and problem-solving skills
Broad knowledge of the financial services industry