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That's actually something that we've spent a lot of time thinking Actually over the last year, because we haven't org right now, where we have data engineers in London, Chicago, San Francisco, Hong Kong, that are working on a myriad of different types of problems and aligning their skill sets as they progress through their careers is really important for us. One thing that we're starting with this year is the creation of an entry level data engineer role that's going to work on our enterprise data engineering team, where the work underneath a really strong software engineering manager as the team lead, and really focus on core software development skills within the ETL systems for our enterprise data. And that's the data feeding into our different reference systems about all the different investable instruments that we have within the firm information about pricing data, a lot of your traditional market data. And as they really develop their software development skills within the data engineering environment, we want to give them exposure to our business data engineers that are working directly with investment teams, so that they can also develop their understanding of how we're using data in an investment environment and for a specific investment thesis. So over the course of one to two years, they not only are at a point where they have really strong development skills and understand all of like the tooling and infrastructure around our ETL systems. They also started get understanding of what does that all mean in the context of an investment strategy. So that's if they want to after around two years, they can go in a direction where they're starting to work directly directly with an investment team on a trading floor. Alternatively, we have the Core Data engineering team that is a little bit more of a software engineer Till that is responsible for a lot of the core infrastructure and tooling that we have around data engineering. The other business data engineers are using to manage things like our airflo infrastructure Jupiter hub environments, a lot of our event driven and ETL system Iran Kafka, lover, dq and management systems and like our data engineering and validly our data evaluation frameworks, and if they want to go a little bit more deeper until like a software development career path thing that could go on to that team as well. But once you already kind of established mid career as a data engineer, we do have additional trajectories to go like deeper on the individual contributor route where you want to go more from a data engineer into a data architects type of role. And there we have really strong data engineers that do more architecture and design. So that when there is a complex problem around a like a difficult spot ETL system that requires a lot of like tweaking of the JVM, the go to resource for that or there's a team that has a really high throughput of data going through Kafka, they'll be like the go to resource that the business data engineers can kind of lean on and they're they're kind of seen as like the the wise data engineering expert to go for some of these more bespoke problems. On the flip side, we also have plenty of opportunities to grow as a data engineering manager, just really like the the pace that we're growing within the org. There's constantly new teams that are developing. And I think one thing that Citadel does really well is prepare technologists early on in their career for leadership opportunities. We have a really good internship program where interns are constantly coming in throughout the year and we pair these really strong college freshmen, sophomores, juniors, people that are in grad school with some of our best early Career engineers and give the engineer within Citadel an opportunity to start lead in realize what it's like when you mentor somebody that's more junior and be there to answer questions and coaching teach and just be been a just a nice person and help them along, or even within our rotational program. So when somebody joins Citadel we have this program where you work in different team for every four months throughout the course of the year in pair them and the rotational program with a really strong engineers to start getting them more management experience there as well and then start career path towards a management role. So in terms of like taking everyone from really strong, mid career architects that into the data engineering space to new grads that they need a lot more coaching, we try to focus on creating opportunities for everyone across that space to continue to grow and if we can do that in the country, taxed of the most important thing in that is finding the best returns that we can. And each one of the markets that we invest in, that we can create not only like an incredibly successful Hedge Fund, which is always going to be the first and foremost goal of why we were here. But we can also allow people to kind of like grow as a professional and as a technologist, and in finding that sweet spot where both of those are directly aligned, is like, I guess part of my job in helping kind of lead this team. And I think that's something that we're actually doing. We're doing this we're doing, we're doing a good job. And we need to continue to reevaluate how we continue to do great to do even better there. But that's something that I'm particularly kind of proud about that we really try to focus on at Citadel did engineering.