Technical Lead – Data

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Juniper Square

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💸 Finanças

🏠 Imobiliário

☁️ SaaS

💰 $75.000.000 Series C em 2019-11

Finance • Real Estate • SaaS

A Juniper Square é uma empresa que oferece uma plataforma abrangente e soluções personalizadas para parcerias de investimento privado. Fundada em 2014, a empresa se concentra em possibilitar uma conexão e comunicação contínua entre General Partners (GPs) e Limited Partners (LPs) ao longo de todo o ciclo de vida do investimento. A tecnologia da Juniper Square é feita sob medida para apoiar empresas de imóveis comerciais, private equity e capital de risco de todos os tamanhos. A plataforma oferece serviços como administração de fundos, captação de recursos, gestão de investidores, compliance e relatórios para investidores, todos destinados a aprimorar a transparência, a governança de dados e a experiência geral do investidor.

Descrição

• Design and implement sophisticated data models in SQL. • Work closely with the other Software Engineers to ensure sound, scalable implementation. • Act as a technical expert on our team regarding all things data, especially as the data team grows and evolves. • Introduce new technologies to evolve and enhance our data pipeline capabilities. • Document data models, architectural decisions and data dictionaries to enable collaboration, maintainability and usability of our analytics platforms and code. • Assist with governance, guidance, code reviews, and access controls so that we maintain consistency, quality, and business confidentiality as we scale analytics access across the company and to customers. • Externally: learn our application data schema, and develop a fluency in how to transform it to enhance customer’s decision-making with data. • Internally: guide product and development teams, advising on instrumentation and laying development foundations for product usage reporting. • Fulfill projects with minimal guidance but with an appropriate sense of when and how to collaborate with others. • Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.

🎯 Requisitos

• Bachelor's degree in Computer Science, or equivalent work experience • 7-11 years of experience building ETL (Extraction Transform Load) or ELT (Extraction Load Transform) pipelines from scratch • Strong command of relational databases (Postgresql preferred), data modeling and database design • Strong command of Python and experience building production web applications using Python • Experience with cloud based services (AWS RDS preferred) • Experience developing on (or administering) BI / data visualization platforms (ex. Looker, Tableau, PowerBI, Mode, Data Studio, Domo, QlikView etc.). • Basic understanding of data warehouses such as Amazon Redshift, Google BigQuery, Snowflake etc. • Demonstrated history of translating data into clear and actionable narratives and communicating opportunities and challenges relevant to stakeholders. • You must be flexible and adaptable – you will be operating in a fast-paced startup environment.

🏖️ Benefícios

• We invest heavily in digital-first operations, allowing our teams to collaborate effectively across 27 U.S. states, 2 Canadian Provinces, India, Luxembourg, and England. • We also have physical offices in San Francisco, New York City, Mumbai and Bangalore for employees who prefer to work in an office some or all of the time.