Data Engineer

2 days ago

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F&G

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Life Insurance • Annuities • Retirement Planning • Wealth Transfer

501 - 1000

Description

• F&G is looking to hire for a Data Engineer. • Provide technical expertise and support for teams on data integration projects. • Collaborate with technical teams to design and implement functional solutions. • Ensure the smooth execution of data pipelines and integration processes. • Partner with stakeholders to understand business needs and design data architectures. • Work with IT teams and Lines of Business on multi-domain integration initiatives. • Support the delivery of business-facing data solutions that drive business outcomes. • Provide technical support to teams and contribute to managing data integration projects. • Develop and implement ETL workflows using tools such as Informatica, scripting, and load utilities. • Ensure the smooth operation of data integration processes, focusing on performance, reliability, and scalability. • Assist with managing the technical aspects of data platforms, including custom applications. • Identify and address inefficiencies in third-party software, focusing on data integrity, security, and manageability. • Collaborate with Senior Data Engineers and Architects on designing solutions. • Participate in data management processes such as creating, loading, transforming, cleansing, processing, analyzing, and visualizing data.

Requirements

• Bachelor’s degree in Computer Science, MIS, or a related field (or equivalent combination of education and experience). • 2+ years of experience designing, building, and supporting near real-time data pipelines and analytical solutions, preferably using Informatica. • 2+ years of experience in ETL support and production data operations, including file processing, data distribution, debugging, and Root Cause Analysis. • Hands-on experience with MS SSIS, Informatica PowerCenter, and Informatica Data Management Cloud. • Proficiency in SQL Server with strong T-SQL query writing and data model interpretation skills. • Extensive experience writing automated unit, integration, and acceptance tests for data interfaces and pipelines.