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Mondelēz International

Engenheiro de Dados, Data Engineer

Mondelēz International

. Provide software and application knowledge to support implementation of solutions .

Posted 10/22/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and building scalable cloud-based data solutions while ensuring adherence to security policies and governance. Proficient in managing vendor relationships, optimizing data pipelines, and leading complex projects within a global IT environment.

Highest-signal resume keywords
Python ProficiencyDatabricks ExperienceAWS Services KnowledgeETL DevelopmentProject Management

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
PythonPySparkSQLETLData Pipeline DevelopmentData Quality ProcessesCloud-Based Data SolutionsData Storage OptimizationMedallion ArchitectureSCD Types
Soft Skills
Stakeholder ManagementAnalytical ThinkingEffective CommunicationAttention to DetailAdaptability
Tools & Technologies
DatabricksAecorSoft/DataSphereAWS S3AWS GlueAWS RedshiftAWS LambdaAWS EMRAWS AthenaPowerBITableau
Industry Keywords
IT Infrastructure LibraryVendor GovernanceService Improvement InitiativesData WarehousingData Lakes

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSCloudETLPySparkPythonSQLTableau

About the role

Key responsibilities & impact
  • Provide software and application knowledge to support implementation of solutions
  • Optimize delivered services to meet business demands and service operations strategy
  • Plan, measure, report, and communicate service improvement initiatives
  • Serve as a consultant on issues and resolutions
  • Recommend actions to optimize investments and benefits and mitigate risks
  • Identify and evaluate suppliers and onboard new vendors
  • Establish and run vendor governance
  • Collaborate with management on requisitions, purchase orders, invoices, and payments
  • Provide design collateral and configure software components aligned with security policy and governance
  • Ensure adherence to development and configuration standards and processes
  • Design and build scalable, secure, and cost-effective cloud-based data solutions
  • Develop and maintain ETL data pipelines for data warehouses or data lakes
  • Implement data quality and validation processes
  • Optimize data storage and retrieval performance
  • Collaborate with data architects, data modelers, data product managers, data analysts, engineering leads, and stakeholders
  • Guide and groom associate data engineers and data engineers to ensure timely delivery and compliance with guidelines and standards

Requirements

What you’ll need
  • Experience working collaboratively with multiple vendors
  • Experience leading complex projects and project management
  • Stakeholder management and influencing skills
  • Experience managing infrastructure services delivery, support and excellence
  • Experience working in a global IT function with regional or global responsibilities
  • Experience working with IT outsourcing providers using frameworks such as the IT Infrastructure Library
  • Experience working with internal and external teams and leading when necessary
  • Ability to identify and solve complex data-related challenges
  • Effective communication skills
  • Analytical thinking and ability to draw meaningful insights from data
  • Attention to detail in data preparation and pipeline development
  • Adaptability and ability to stay updated with emerging technologies and trends
  • Proficiency in Python, PySpark, and SQL
  • Databricks (Mandatory)
  • Experience with AecorSoft/DataSphere
  • Knowledge of SCD Types, Fact & Dimensions, Star Schema, and ETL
  • Knowledge of Medallion Architecture: Bronze, Silver, Gold, Platinum
  • Experience with AWS services: S3, Glue, Redshift, Lambda, EMR, Athena
  • GenAI exposure: Gemini/Genie/Kiro etc.
  • Experience with Databricks Jobs and Airflow
  • Erwin (Optional)
  • PowerBI, Tableau, and GenBI (Optional)

Benefits

Comp & perks
  • Hybrid model allowing remote work on certain days of the week
  • Diversity, equity and inclusion initiatives
  • No relocation support available