Data Engineer/Vice President, Engineering,Design Data Engineer/Vice President, Engineering,Design …

Goldman Sachs
in Dallas, TX, United States
Permanent, Full time
Be the first to apply
Competitive
Goldman Sachs
in Dallas, TX, United States
Permanent, Full time
Be the first to apply
Competitive
Data Engineer/Vice President, Engineering,Design
>

Curate, design and catalogue high quality data models to ensure that data is accessible and reliable Build highly scalable data processing frameworks for use across a wide range of datasets and applications. Provide data-driven insight and decision-making critical to GSs business processes, in order to expose data in a scalable and effective manner while understanding existing and potential data sets in both an engineering and business context

RESPONSIBILITIES AND QUALIFICATIONS

HOW YOU WILL FULFILL YOUR POTENTIAL
Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
Evaluate, select and acquire new internal & external data sets that contribute to business decision making
Engineer streaming data processing pipelines
Drive adoption of Cloud technology for data processing and warehousing
Engage with data consumers and producers in order to design appropriate models to suit all needs

SKILLS AND EXPERIENCE WE ARE LOOKING FOR
2-3 years of relevant work experience in a team-focused environment
A Bachelors degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
Working knowledge of more than one programming language (Python, Java, C++, C#, etc.)
Extensive knowledge and proven experience applying domain driven design to build complex business applications
Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
In-depth knowledge of relational and columnar SQL databases, including database design
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 expert 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
Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner

Preferred Qualifications
Financial Services industry experience
Experience with the Hadoop eco-system (HDFS, Spark)

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