Data Engineering – Data Design & Curation – Associate

YOUR IMPACT

• 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 GS’s business processes, in order to expose data in a scalable and effective manner
• Understanding existing and potential data sets in both an engineering and business context

HOW WILL YOU 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, and providing scalable and performant solutions
• Engage with data consumers and producers in order to design appropriate models to suit all needs

BASIC QUALIFICATIONS/EXPERIENCE

• 2-3 years of relevant work experience in a team-focused environment
• A Bachelor’s 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)