Principal Full Stack Engineer-Python

Job Description:

Principal Data Engineer – Tech Lead

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 strong technology, coding, and data skills, looking to operate in a less constrained environment, as part of an accelerated development team.

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 be a go-getter, with quantitative concepts and data.

THE EXPERTISE WE’RE LOOKING FOR

1. Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.
2. 10+ years of enterprise development and a desire to work on a fast-paced development team.
3. Experience of balancing multiple tracks concurrently.
4. Experience in planning, designing, leading, and executing technical solutions and improvements.
5. Experience with object-oriented programming, with projects completed using many of the following technologies including Java or C#, Python, Angular 2.0+, AWS, and RDBMS.
6. Knowledge of Cloud computing concepts (AWS) and using CI/CD tools.
7. Strong problem-solving and troubleshooting skills with on-call responsibilities.

The Skills You Bring

1. You have a track record of engineering experience by processing large datasets and building scalable applications and Rapid Prototyping.
2. You have a background with enterprise development and a consistent record of rapidly bringing projects from inception to delivery in ambitious timeframes.
3. You have solid experience in Object Oriented Programming in Java or C# or Python.
4. You have solid experience in developing custom Data Pipelines to extract, map, transform, and load data in various data stores like RDBMS, Oracle, S3, PL/SQL, and/or shared drives.
5. You have solid experience in Python and libraries such as Pandas/Numpy, etc. or Spark.
6. You are familiar with extracting data from REST APIs and parallel processing large datasets using C# or Java.
7. Your demonstrable experience developing scripting in Linux and Windows.
8. Experience with migrating applications to AWS (Cloud) will be an added advantage.

Benefits

You can take advantage of flexible benefits that support you through every stage of your career, empowering you to thrive at work and at home.