Vice President with Goldman Sachs Services LLC in New York, NY
Duties: Vice President with Goldman Sachs Services LLC in New York, NY. Develop scalable and high-quality data management solutions for a variety of business problems (e.g. management reporting, regulatory audit requirements, targeting) using big data technologies for extracting data from small to large datasets, requiring automated and human curation of that data. Drive architectural direction of small to large project efforts with technical teams and business users across regional and international offices. Partner with Bankers, CFOs, Operations and Controllers team to elicit business/ technical requirements, and to roll out enterprise applications and analytics reports in response to changing business requirements and processes. Design and develop applications by performing various project/product owner responsibilities, such as determining operational feasibility, documenting and demonstrating solutions, conducting system analysis and recommending improvements to policies and procedures, and determining and enforcing software development standards. Work with users to resolve production support related issues with regard to M&A, financial accounting, risk and P&L applications. Work independently to define design strategy and assume responsibility for projects or components of projects, drive several projects simultaneously and drive end-to-end project delivery. Stay current with functional, imperative, and object-oriented languages like Java, Scala, SQL, Python and the Firm’s proprietary languages. Stay current with, and proactively adopt and innovate, data technologies including on-premise and cloud-native, like Elastic Search, MongoDB, Snowflake, AWS Redshift, Aurora. Mentor junior and mid-level engineers and grow the engineering team by interviewing, recruiting and hiring. Must be willing to work with proprietary technologies. No knowledge of proprietary technologies is required pre-hire.
Job Requirements: Master’s degree (U.S. or foreign equivalent) or Bachelor’s degree (U.S. or foreign equivalent) in Computer Science or related field. Five (5) years of experience with a Master’s degree or seven (7) years of experience with a Bachelor’s degree in the job offered or in a related role. Prior experience must include five (5) years of experience with: Java; SQL on Databases like DB2 or SybaseIQ; Unix shell scripting; SDLC and orchestration tools such as Gradle, Maven, Git, Jenkins or Kubernetes; and No-SQL data stores, including MongoDB. Prior experience must include three (3) years of experience with: open source streaming and distributed data platforms including Spark, Kafka, and Hadoop; and developing data architecture, data modeling, and ETL (Extract, Transform and Load) pipelines. Prior experience must include two (2) years of experience with: Python and Scala; and web application development using Angular or React.js. Prior experience must include one (1) year of experience with: Pandas, numPy and matplotlib Python libraries.
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