Data Engineering Core Data Platform Software Engineer Associate Dallas

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 15 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

What We Do

At Goldman Sachs our Engineers dont just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems architect low latency infrastructure solutions proactively guard against cyber threats and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses transform finance and explore a world of opportunity at the speed of markets.

Engineering which is comprised of core and business-aligned teams is at the critical center of our business and our dynamic environment requires innovative strategic thinking and immediate real solutions. Want to push the limit of digital possibilities Start here.

About Data Engineering

Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering focusing on providing the platform processes and governance for enabling the availability of clean organized and impactful data to scale streamline and empower our core businesses.

Within Data Engineering we focus on offering a comprehensive data platform Legend which we have made available as an open-source product. Legend includes a full data modeling environment as well as the execution of data access and controls and a vast set of value-add products which allow our business users to operate more efficiently. Engineers at Goldman use the Legend offering to build efficient data solutions that source curate and distribute critical data to our businesses including financial product pricing transaction and client reference data.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers building solutions in risk management big data mobile and more. We look for creative collaborators who evolve adapt to change and thrive in a fast-paced global environment.

As aFull-stack Software Engineeron the Data Engineering team you will be responsible for improving the Legend data platform. We tackle some of the most complex engineering problems across optimizing data access and delivery enabling core access controls via well-defined security paradigms building UIs to enable data visualization/analytics/discovery/management or engaging with the product team to ensure the firms data needs are met. We react quickly to new demands by rapidly evolving our data solutions.

How You Will Fulfill Your Potential

Design & develop data management tools to curate our most important data sets models and processes
Contribute to an open-source technology -
Technologies: Java CSS React

Basic Qualifications
- A bachelors or masters degree in a computational field (Computer Science Applied Mathematics Engineering or in a related quantitative discipline)
- 3 years of experience with UX frameworks (React/Angular TypeScript is a plus)
- 3 years of relevant work experience in a team-focused environment
- 3 years of experience using OO languages
- 3 years of experience in functional programming languages
- Strong object-oriented design and programming skills and experience in OO languages (Java etc.)
- Strong skills in CSS with the ability to translate UI/UX designs and wireframes into high fidelity user interfaces
- Proven experience applying domain driven design to build complex business applications
- In-depth knowledge of relational and columnar SQL databases including database design
- Experience in REST and/or GraphQL
- Comfort with Agile operating models (practical experience of Scrum / Kanban)
- General knowledge of business processes data flows and the quantitative models that generate or consume data
- Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts
- Independent thinker willing to engage challenge or learn
- Ability to stay commercially focused and to always push for quantifiable commercial impact
- Strong work ethic a sense of ownership and urgency
- Strong analytical and problem-solving skills
- Establish trusted partnerships with key contacts and users across business and engineering teams
Preferred Qualifications
- Financial Services industry experience
- Experience with Pure/Legend
- Working knowledge of open-source tools such as AWS lambda Prometheus
- Expertise in data warehousing concepts (e.g. star schema entitlement implementations SQL v/s NoSQL modeling milestoning indexing partitioning)
- Deep understanding of multidimensionality of data data curation and data quality such as traceability security performance latency and correctness across supply and demand processes
- Experience in distributed system design

Required Experience:

DescriptionWhat We DoAt Goldman Sachs our Engineers dont just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable sof...

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.

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