Full Stack Engineer-

The Advanced Strategies and Research Technology Team in Fidelity's Asset Management organization is an embedded team passionate about unlocking the potential of new technologies, techniques and datasets, to assist our Investment Professionals in generating alpha for our investment products and customers., The team is comprised of a diverse set of technology professionals including application developers, database engineers, data scientists and tool prototypes with quantitative backgrounds who work collectively with our business partners to take ideas from a whiteboard, through prototypes that garner feedback to be rapidly deployed to our users, all the way through to integration with enterprise applications both on prem and on the cloud.

The role is ideal for someone with an enterprise development background, with a strong technology, coding and data skills, looking to operate in a less constrained environment, as part of an accelerated development team.

The role is ideal for a skilled technical leader with strong design, teamwork and influencing skills.

Ideally the candidate is a full stack, but this role will be primarily focused on processing and generating Analytics from structured and unstructured datasets with the ability of parallel processing potentially in the cloud.

The ideal candidate will quickly adapt to new technologies and a go-getter, with quantitative concepts and data., * Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.

• 3 years of enterprise development and a desire to work on a fast-paced development team
• Experience of balancing multiple tracks concurrently
• Experience in planning, designing, leading, and executing technical solutions and improvements
• Experience with object orientated programming, with projects completed using many of the following technologies including Python, Java or C#, Angular 2.0, AWS, and RDBMS
• Knowledge of Cloud computing concepts (AWS) and using CI/CD tools
• Strong problem-solving and troubleshooting skills with on call responsibilities, * You have solid experience in Python and libraries such as Pandas / Numpy, etc.
• You have a track record of engineering experience by processing large datasets and building scalable applications and Rapid Prototyping
• You have a background with enterprise development and a consistent record rapidly bring projects from inception to delivery in ambitious timeframes. Using Python, Java or C#, Angular 2.0, MVC frameworks
• You have solid experience in Object Oriented Programming in Java or C# or Python
• You are familiar with extracting data from REST APIs and parallel processing large datasets using Python or C# or Java
• You are familiar with developing custom Data Pipelines to extract data, map data, transform data, and to load data in various data stores like RDBMS, Oracle, S3, and / or shared drives.
• Your demonstrable experience developing scripting in Linux and Windows
• Experience with migrating applications to AWS (Cloud) will be an added advantage.