Junior Data Engineer – Master Data Architecture

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Job Summary: Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services. As a Full-stack Software Engineer on the Data Engineering team, you will help improve the Legend data platform and curate data offerings while tackling complex engineering problems across distributed software development.
Responsibilities: • 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 • Drive adoption of cloud technology for data processing and warehousing • Engage with data consumers and producers in order to design appropriate models to suit enable the business
Qualifications:
Required: • A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline) • 2-7+ years of relevant work experience in a team-focused environment • 2-7+ years of experience in distributed system design • 2-7+ years of experience using Java, Python, and/or React • 2-7+ years of experience or interest in functional programming languages • Strong object-oriented design and programming skills and experience in OO languages (Java) • Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code (Terraform, CloudFormation, or ARM templates) • 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 • Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning) • Experience in REST and/or GraphQL • Experience in creating Spark jobs for data transformation and aggregation • 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: • Financial Services industry experience • Experience with Pure/Legend • Working knowledge of open-source tools such as AWS lambda, Prometheus
Company: Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services. Founded in 1869, the company is headquartered in New York, New York, USA, with a team of 10001+ employees. The company is currently Public Company. Goldman Sachs has a track record of offering H1B sponsorships.