Engineering- Data Engineering -Vice President-Data Governance - Bengaluru
Bengaluru, Karnataka, India
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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.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)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Computer Science Data governance Data management Data quality Engineering Hadoop HDFS Java Mathematics Pipelines Python Security Spark SQL Streaming
Region:
Asia/Pacific
Country:
India
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