Fbs Associate Data Engineer

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Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay rangeMX$1.00/yr - MX$1.00/yrOur Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C).
They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees.
Finally, our Client is part of one the largest Insurance Groups in the world.This position applies analytics and modeling techniques to improve business results.
Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisionsRole Responsibilities:Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work.Basic Programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skillsKnowledge on large-scale structured and unstructured multidimensional data using conceptual knowledge of open-source cloud-enabled analytical programming languages.Develops ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoringContributes to development of presentations.
Occasionally communicates complex technical material understandable to non-technical associatesExecutes intermediate model deployments via established MLOps techniques.Works with analytics and IT teams to deploy models/rulesRequirements1 -3 years of experience as a data engineerBS in Computer Science, Data Engineering (Big Data, AWS certification), Data Modeling or similarFull English FluencyData Pipeline DevelopmentETL/ELT Design with DBTCloud Data Engineering (AWS) - S3, Glue, Lambda, Step Functions, and IAMPerformance OptimizationCI/CD AutomationSkills & CompetenciesStrong verbal communication and listening skillsProficient in Microsoft Office SuiteAbility to influence internal and/or external constituents.Software / Tool SkillsBasic knowledge of data analysis, manipulation tools (SQL, Python, SAS, R, and/or Snowflake)Cloud computing services (AWS).
Certification in AWS, PLUSIceberg Tables PLUSFamiliarity with data visualization tools (Tableau, Power BI)ETL Programming and Modelling: Structure and structure, Data Manipullation, Medallion ArchitectureBenefitsThis position comes with competitive compensation and benefits package:Competitive salary and performance-based bonusesComprehensive benefits packageCareer development and training opportunitiesFlexible work arrangements (remote and/or office-based)Dynamic and inclusive work culture within a globally renowned groupPrivate Health InsurancePension PlanPaid Time OffTraining & DevelopmentAbout CapgeminiCapgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.
The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future.
It is a responsible and diverse organization of over 340,000 team members in more than 50 countries.
With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
The Group €22.5 billion in revenues in 2023.Seniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionJob functionAnalystIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Capgemini by 2xSign in to set job alerts for "Data Engineer" roles.Mid-Senior Data Developer (Databricks /Python / PySpark), BrasilWe're unlocking community knowledge in a new way.
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