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Data and Analytics Engineer (SQL/ AWS)

Company: Newance
Location: New York
Posted on: November 22, 2021

Job Description:

The Company: n Founded in 1976, Kohlberg Kravis Roberts & Co. L.P. (together with affiliates, "KKR") is a leading global investment firm with $300 billion in assets under management. KKR manages assets through a variety of investment funds and accounts covering multiple asset classes including private equity, energy, infrastructure, real estate and credit, with strategic partners that manage hedge funds. n KKR is investing in wide-scale modernization of our technology stack and data platforms. This transformation to an intelligent, data-centric culture requires a solid technological foundation where trusted and business-ready data is made available to the enterprise and leads to applying machine learning to automate the manual tasks. Once KKR masters an agile and trusted data pipeline, we can then deploy machine learning and AI initiatives that will accelerate our path to transformation. nThe Job: n KKR is looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. n n Create and maintain optimal data pipeline architecture. n Assemble large, complex data sets that meet functional / non-functional business requirements. n Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. n Build the infrastructure required for optimal Data ETL from a wide variety of data sources using SQL and AWS technologies. n Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. n Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. n Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. n Work with data and analytics experts to strive for greater functionality in our data systems. n n n The Right Fit: n n n Advanced working SQL experience; query authoring and tuning with a variety of databases. n Experience building and optimizing reliable data pipelines, data architectures and composing data sets. n Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. n Strong analytic skills related to working with unstructured datasets. n Build processes supporting data transformation, data structures, metadata, dependency and workload management. n A successful history of manipulating, processing and extracting value from various disparate datasets, to make them interoperable n Working knowledge of message queuing, stream processing, and data stores. n Strong project management and organizational skills. n Experience supporting and working with cross-functional teams in a dynamic environment. n 5+ years of experience in a Data Engineering role, with a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. n n

Keywords: Newance, New York , Data and Analytics Engineer (SQL/ AWS), Engineering , New York, New York

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