Senior Data Engineer, Investments

🕒 Maio 27

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F&G

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1959

💸 Finanças

🏢 Corporativo

Finance • Enterprise

A F&G é uma empresa que oferece um portal para agentes de vendas gerenciarem suas contas e acessarem recursos. O portal de agentes SalesLink exige que os usuários façam login com seu ID de agente e senha, oferecendo recursos para gerenciamento de senhas e protocolos de segurança. A F&G parece focar em fornecer serviços e suporte para agentes de vendas, possivelmente nos setores de seguros ou financeiro, conforme sugerido pelo domínio de e-mail 'fglife. com'.

Descrição

• Implement data integration architecture and solutions for our Investments and Hedging delivery teams. • Design and develop ETL logic using Informatica Informatica Data Management Cloud, Snowflake and various Azure data tools to support existing and future deployments • Design and execute technical aspects of data management functions including creating, loading, transforming, cleansing, processing, analyzing, and visualizing data • Collaborate directly with teammates and business partners to build technical solutions that solve problems, are reusable, scalable, fast, and maintainable through large datasets, both clean and un-clean • Work with multiple development technologies including SQL • Interact cross-functionally with other technical teams both internally and externally to implement complete technology solutions • Design and develop code to support existing and future deployments • Independently solve problems and fix technical issues • Responsible for unit test construction and execution

🎯 Requisitos

• Associate’s/Bachelor's Degree (preferred emphasis in technology, engineering or math related field) or equivalent combination of education and experience • 4-7 years of experience designing, building, and supporting real-time data pipelines and analytical solutions • 2+ years of experience in supporting ETL, production data operations (File processing, data distribution etc.,) including debugging, addressing production issues and performing Root Cause Analysis • Strong ability to write SQL queries, Python scripts, and interpret data models • Experience with Snowflake, SQL Server and/or Oracle • Experience building data structures, solutions and products • Experience writing automated unit, integration, and acceptance tests for data interfaces & data pipelines • Understanding of object-oriented analysis and design

🏖️ Benefícios

• Flexible work arrangements • Professional development opportunities