Python Full Stack Engineer

Job Description:

The Role

The Advanced Strategies & 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 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. Willing to be in the on-call rotation.

The Expertise and Skills you Bring

• Minimum Requirements: Applicants must have at least 3 years of experience in enterprise development Preferred Experience: Proven expertise in tactical development and experimentation and a strong desire to work in a dynamic, fast-paced development team.
• Technical Skills:
• Strong experience with Python, relational database management systems (RDBMS), and Amazon Web Services (AWS).
• Proficiency in object-oriented programming principles and data structures.
• Knowledge of cloud computing concepts (AWS) and experience with CI/CD tools. and Experience in building Single Page Applications (SPA) using Angular or React.
• Additional Qualifications: Ability to balance multiple tracks concurrently.
• Experience in planning, designing, leading, and executing technical solutions and improvements.
• Strong problem-solving and troubleshooting skills, including on-call responsibilities.
• Bachelor's or Master's Degree in a technology-related field (e.g., Engineering, Computer Science, etc.) required
• 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 and RDBMS, SQL, PL/SQL
• You have solid experience in Object Oriented Programming in Java or C# or Python
• You have experience in Angular / React and building SPA applications
• You have solid experience in developing custom Data Pipelines to extract data, map data, transform data, and to load data in various data stores like RDBMS, Oracle, S3, PL/SQL, and / or shared drives.
• You have solid experience in Python and libraries such as Pandas / Numpy, etc. or Spark
• You are familiar with extracting data from REST APIs
• Your demonstrable experience developing scripting in Linux and Windows
• Experience with migrating applications to AWS (Cloud) will be an added advantage.