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Capgemini

Senior Analytics Engineer

Capgemini

. Design, develop, and maintain automated data pipelines for analytics and reporting .

Posted 9/15/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining automated data pipelines, utilizing advanced skills in SQL, Python, dbt, and Snowflake to deliver scalable data solutions for analytics and reporting. Strong ability to collaborate with stakeholders to translate business requirements into effective data models and dashboards.

Highest-signal resume keywords
Advanced SQL ExperienceAdvanced Python ExperienceAdvanced dbt ExperienceAdvanced Snowflake ExperienceData Transformation and Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonDbtSnowflakeData Pipeline AutomationData ModelingData AnalysisKPI ReportingExcelPower BI
Soft Skills
Fluent English CommunicationCollaboration
Tools & Technologies
Visual Studio CodeAnalytics Environments
Industry Keywords
Business IntelligenceData QualityData IntegrityCustomer Experience Measurement

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain automated data pipelines for analytics and reporting
  • Source, extract, transform, and load data using SQL, Python, dbt, and Snowflake
  • Build and optimize data models for business intelligence and dashboarding
  • Develop and maintain dashboards, metrics, and KPI reporting solutions
  • Perform ad hoc data analysis to identify trends, opportunities, and business insights
  • Collaborate with business stakeholders to understand reporting requirements and translate them into scalable data solutions
  • Support business-case development with data-driven recommendations
  • Ensure data quality, integrity, and reliability across analytics environments
  • Partner with analytics and business teams to improve customer experience measurement and reporting

Requirements

What you’ll need
  • Bachelor's degree in a related field
  • Fluent English communication skills
  • Advanced SQL experience
  • Advanced Python experience
  • Advanced dbt experience
  • Advanced Snowflake experience
  • Advanced Excel experience
  • Intermediate Power BI experience
  • Advanced experience using Visual Studio Code (VS Code)
  • Strong understanding of data transformation, modeling, and pipeline automation
  • Experience building scalable data solutions to support business intelligence and analytics initiatives
  • Valid, local legal authorization to work in the country where the role is based at the time of hire
  • No employment sponsorship unless explicitly stated

Benefits

Comp & perks
  • Comprehensive benefits package
  • Home Office model
  • Career development and training opportunities
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development
  • Benefits differ based on employee level