Job Description :
Must haves: (Skills highlighted are absolute must have)

· Strong experience with Python programming

· Experience with PySpark/Spark

· Experience working with Anaconda environments

· Experience setting up Jupyter notebooks, installing JupyterLab extensions, Kernels Management

· Experience navigating Linux environments and shell scripting

· Knowledge on Big Data ecosystems

· IBM Conductor experience will be an added advantage

Job Description:

Leads, designs, develops, test and implements applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies. Resolves coding, testing and escalated platform issues of a technically challenging nature. Responsible for defining opportunities across IT to maximize resource utilization and improve processes while reducing cost. Ensures that systems are monitored to increase operational efficiency and managed to mitigate risk. Mentors and trains other members of the team. Partners with Management, Dev, QA, production support and platform engineering teams effectively. Focuses on building relevant capabilities in the organization to keep pace with demand and best practices in the industry. Manages vendor/contractor partnerships to improve efficiency and effectiveness. Designs, codes, tests, debugs and documents programs using Agile development practices. Operates in restricted to niche domains: such as Capital Markets, Quants, Artificial Intelligence, Machine Learning. Leads implementation of complex projects/initiatives on above domain. Understands and leads the team to ensure compliance and risk management requirements for supported area are met and works with other stakeholders to implement key risk initiatives. Mentors lower level team members.

Client : Wells Fargo