Capgemini

Senior Data Engineer, Insurance Experience

Capgemini

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇲🇽 Mexico

Visit company website
AI Apply
Apply

Job Level

Senior

Tech Stack

CloudETLPythonSQL

About the role

  • Analyze business data stories and translate them into technical requirements.
  • Independently design, build, test, and implement data products of various complexity with minimal guidance.

Requirements

  • 4-6 years of experience as a Data Engineer with ETL using SQL
  • At least 2 years Insurance Background – Ideally P&C, flexible for insurance in other areas Health, Life if upskilling is possible
  • Understands how to effectively use core tools for Data Analytics including Excel, PowerPoint, Power BI, Python and SQL Software, Canonical models
  • Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for moderate scenarios.
  • Ensures 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.
  • Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks.
  • Works independently with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools.
  • Is beginning to provide coaching to junior associates
Benefits
  • A competitive salary and performance-based bonuses.
  • Comprehensive benefits package.
  • Flexible work arrangements (remote and/or office-based).
  • You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
  • Private Health Insurance.
  • Paid Time Off.
  • Training & Development opportunities in partnership with renowned companies.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Data EngineeringETLSQLData AnalyticsData CurationData PublishingData ModelingBig DataRelational DatabasesNon-relational Databases
Soft skills
Analytical SkillsIndependent WorkCoachingCommunicationProblem Solving