FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. We believe that the foundation of every successful business lies in having the right people with the right skills. This position works on data projects of intermediate complexity to lead in the design, development, and implementation of data products.
\nKey Responsibilities\n• Prep and cleanse data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and feedback\n• Translate business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint\n• Develop and maintain moderately complex scalable data pipelines for both streaming and batch requirements and build out new API integrations to support increased demands of data volume and complexity\n• Produce data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration\n• Create business user access methods to structured and unstructured data. Utilize techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation\n• Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for basic to moderate scenarios\n• Ensure the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists with coaching and support\n• Utilize skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks\n• Works with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools and is familiar with a few but requires training for some
\nRequirements\n• 4-6 years of experience in a similar as a Data Engineer with AWS Tools\n• BS in Computer Science or similar\n• Full English Fluency\n• Exp Insurance within finance area (PLUS)
\nTechnical Experience\n• Python and SQL – Intermediate (MUST)\n• AWS tools such as AWS Glue, S3, AWS Lambda, Iceberg and Lake Formation (MUST)\n• Snowflake - Intermediate (4-6 Years) (MUST)\n• DBT - Entry Level (1-3 Years) (MUST)\n• AWS Cloud Data - Intermediate (4-6 Years) (MUST)\n• MSSQL - Entry Level (1-3 Years) (Desirable)\n• Communications - Intermediate\n• Office Suite - Intermediate\n• Rally - Entry Level or similar\n• Agile - Entry Level, knowledge
\nBenefits\nThis position comes with a competitive compensation and benefits package.\n• A competitive salary and performance-based bonuses.\n• Comprehensive benefits package.\n• Flexible work arrangements (remote and/or office-based).\n• You will also enjoy a dynamic and inclusive work culture within a globally renowned group.\n• Private Health Insurance.\n• Paid Time Off.\n• Training & Development opportunities in partnership with renowned companies.
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\nJob Responsibilities
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\nAutomation
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\nDocumentation
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\nPre-Requisites
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\nWhat you'll do
\nProject Responsibilities:
\nWhat you need
\nXML job scraping automation by YubHub
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