"Alerted.org

Bloomberg

delivers billions of data points to our customers each day and our clients

heavily rely on comprehensive financial information including real-time market

data to identify trends and gain data transparency so they can analyze the

value of a potential investment, partnership, or acquisition target. In

order to make this analysis possible for our clients, the Data Technologies

Engineering department is responsible for designing and building large-scale

sophisticated infrastructure and data processing pipelines to acquire financial

reference information and pricing data from sources around the world

(regulatory agencies, exchanges, central banks, buy-side and sell-side firms,

websites, news, feeds, etc).

The Data Technologies Infrastructure group creates the underlying tools and

platforms used to build data pipelines and analysis platforms. We solve

the problems of compute, storage, analytics, quality and observability in a

multi-tenancy world, with our platforms running on-premise and in the AWS

cloud. Our teams leverage open source and proprietary technologies to

deliver a diverse set of functionality for our peer engineering teams to build

from.

Due to the

volumes of data processed and the low latency requirements, performance,

reliability and quality are key features of our systems. We leverage

state-of-the-art techniques while also maintaining highly available

platforms. We are a technologically diverse group solving a number of

challenging problems using innovative techniques. We are proud of our

intellectual curiosity and the quality of our product. We share a passion

for solving real life problems and provide pragmatic solutions by rolling up

our sleeves and collaborating seamlessly, within and across teams, to provide

our clients with accurate, timely data to make critical investing decisions.

What You Will Do:

You’ll be part

of a diverse set of teams with varying levels of experience and backgrounds

that work together to create the platforms and infrastructure. We support each

other where we have expertise and become experts together where we have none.

We seek input and feedback from our peer teams, valuing open discussion and

collaboration. Everyone has opportunities to make meaningful contributions such

as:

• Building

APIs to orchestrate deployments and execution of data processing systems.

• Prototype

data and analytics technologies to adopt and incorporate into our platform.

• Use

established and existing technologies in novel ways to solve our problems.

• Integrate

and manage internal and AWS cloud resources and services

• Create

tools and UIs to enhance usability and autonomy of users

• Build

and maintain systems that are scalable, reliable, and usable while simplifying

the complexities for the benefit of our users

• Take

ownership in the design and implementation of technical solutions from start to

finish including prototyping, development, testing, and release

• Collaborate

with your team and the wider engineering organization and data analytics users

to achieve business goals

• Own

the infrastructure, services, systems used to provide the platform

• Write

and review code, develop documentation, debug problems with large, distributed,

and complex systems

You’ll need to have:

• 4years hands-on software development experience with our development languages

(Python, Go, TypeScript, Java) or similar, and the libraries, frameworks, and

APIs within those languages

• Experience

building, maintaining, and debugging production systems and services such as

cloud infrastructure, orchestration, and APIs

• Experience

with distributed systems and service architectures

• Fundamental

engineering skills such as automated testing, continuous integration and

deployment, version control, design patterns, data structures, and algorithms

• A

commitment to working in an inclusive, communicative, and collaborative

environment that embraces diversity and ensures that everyone can

contribute

• A

Degree in Computer Science, Engineering, Mathematics, similar field of study or

equivalent work experience

Nice to Have (you will haveopportunity to learn)

• Polyglot

engineers that are comfortable with using multiple languages for building

production systems

• Experience

in and around technical data systems such as Spark, Flink, Dask, Clickhouse,

Trino and technologies such as Parquet, Iceberg, Delta Lake, and cloud

object-stores

• Curiosity

for investigating and understanding all areas of the platform whether it is

working with AWS VPCs, proprietary cloud infrastructure, improving a CLI used

by developers, or understanding the primitive and logical types in a supported

file format

• Experience

building and supporting production systems with knowledge of Linux, networking (transport and application layer protocols), and deploying

systems and services using containerized platforms

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected]