Senior Data Engineer, Investments

🕒 May 27

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F&G

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1959

💸 Finance

🏢 Enterprise

Finance • Enterprise

F&G is a company that provides a portal for sales agents to manage their accounts and access resources. The SalesLink agent portal requires users to log in with their agent ID and password, offering features for password management and security protocols. F&G seems to focus on providing services and support for sales agents, possibly in the insurance or financial industry, as suggested by the email domain 'fglife. com'.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities