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Company : Goldman Sachs
Job Category :- Data Engineer - Analyst
Location : Bengaluru
Experience : 1-3 years
Job Category :- Data Engineer - Analyst
Location : Bengaluru
Experience : 1-3 years
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.
Leveraging our own Legend offering, our engineers build efficient data solutions that source, curate, and distribute critical data to our businesses, including financial product, pricing, transaction, and client reference data. Our engineers collaborate closely with the business to design and curate business-specific data models, and to transform and distribute data for optimal storage and retrieval.
Barclays Hiring Engineer Developer Salary Upto : 11 - 18 LPA Freshers & Experienced Candidates Can Apply
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. Are you looking to apply your quantitative skills while deepening your understanding across a vast array of products? Client Data Engineering is a high-value risk management team under Data Engineering Division and is responsible for the governance programs that ensure critical entities modelling and entity data is accurate, complete, and scalable. This data is a critical input and dependency to most trade and client support functions. Client Data Engineering is comprised of four teams, based in Salt Lake City, Bengaluru, Singapore and Sydney.
How You Will Fulfill York Potential
Design & develop modern data management tools to curate our most important data sets, models, and processes, while identifying areas for process automation and further efficiencies
Contribute to an open-source technology - https://github.com/finos/legend
Engage with data consumers and producers to design appropriate models to suit enable the business
Proactively solve data quality issues from both tactical and strategic perspectives
Proactively work with entity data and external vendors (e.g., GLEIF, Factset, Bloomberg, etc..) to ensure we have the highest quality data in our systems
Basic Qualifications
1+ years of relevant work experience in a team-focused environment
In-depth knowledge of relational and columnar SQL databases, including database design
Proven experience applying domain driven design to build complex business applications
Deep understanding of multidimensionality of data, data curation and data quality
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
Highly motivated
Preferred Qualifications
Python
Financial Services industry experience
Experience with Pure/Legend
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CLICK HERE TO APPLY Goldman Sachs Hiring Data Engineer - Analyst Bengaluru Location Salary Upto : 10 - 18 LPA Min : 1 year Experienced Candidate Can Apply
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