Senior Data Engineer

Localiza&Co

Senior Data Engineer designing and implementing data solution for Localiza&Co. Collaborating across teams to architect and manage scalable data pipelines using AWS and Python.

Posted 6/30/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and implementing data pipelines using AWS tools, SQL, DBT, and Python, while ensuring adherence to software engineering best practices. Proficient in data modeling and orchestration techniques to deliver scalable data solutions that drive business insights.

Highest-signal resume keywords

AWS (Athena, S3, EMR, Glue, Lambda)SQL ProficiencyDBT ImplementationPython ProgrammingSpark for Real-Time Data Processing

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Data Pipeline DesignData ModelingETL ProcessesData OrchestrationSQL QueryingData TransformationAPI DevelopmentMicroservicesCI/CD PracticesAutomated Testing

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

Apache AirflowDatadogKafkaREST APIs

Certifications & Qualifications

AWS Cloud PractitionerAWS Data EngineerAWS Solutions ArchitectAWS Machine Learning Engineer

Industry Keywords

Data MeshData MartData LakeData WarehouseObservabilityPlatform Governance

Tech Stack

Tools & technologies

AirflowApacheAWSCloudETLKafkaPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop and implement robust data pipelines that integrate data from diverse sources, primarily using tools from the AWS ecosystem
Understand business and software product requirements and translate them into efficient, scalable data products
Serve as a technical reference for the architectural design of data-driven and AI-first solutions, coordinating between product, analytics and ML teams to define standards, best practices, SLAs, observability and platform governance
Implement scalable, efficient data enrichment solutions using DBT to transform raw data into tailored data models and actionable business insights
Manage integrations, transformation processes and task automations using data connectors, SQL APIs, Python and REST
Use SQL for querying and manipulating data in relational and non-relational databases
Apply Spark for processing large volumes of real-time data (Kafka and similar platforms)

Requirements

What you’ll need

AWS (Athena, S3, EMR, Glue, Lambda)
Proficiency in SQL, DBT, Python and Spark
Experience with data orchestration tools such as Apache Airflow
Knowledge of different data architecture and modeling techniques for analytics (e.g., Data Mesh, Data Mart, Data Lake, Data Warehouse)
Experience with Data Modeling (relational and/or analytical) and ETL processes
Experience in Software Development (APIs, Gateways, Microservices and Containers) and CI/CD
Familiarity with software engineering best practices (documentation, automated testing, clean code, monitoring — Datadog)
AWS certifications related to the Cloud Data Engineer role (Cloud Practitioner, Data Engineer, Solutions Architect, Machine Learning Engineer)

Benefits

Comp & perks

Profit sharing
Company car
Food allowance
Meal allowance
Health insurance
Dental insurance
Gympass
Private pension plan
Home office allowance
Allya
Unlimited access to courses from our Localiza University
Internal training and development programs
Discounts on vehicle purchase and rentals