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Avita®

Data Engineer

Avita®

. Design and evolve data architecture (Data Lake / Lakehouse / Data Warehouse) on AWS .

Posted 9/18/2026full-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 evolving data architecture on AWS, with a strong focus on building efficient data pipelines using Python and PySpark. Proficient in implementing data quality, observability, and governance practices while optimizing workloads in distributed environments.

Highest-signal resume keywords
Cloud Data Architecture (AWS)Python/PySpark Pipeline DevelopmentData Quality and ObservabilityOrchestration (Airflow, Databricks Workflows)Analytical Modeling (Star Schema, Snowflake)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data LakeData WarehouseData GovernanceData ObservabilitySpark OptimizationCI/CDVersion ControlAnalytical ModelingCost Management (FinOps)Performance Tuning
Soft Skills
Technical CommunicationAdvocacyInfluencing
Tools & Technologies
AWSDatabricksAirflow
Industry Keywords
Data ArchitectureData PipelineStructured DataUnstructured DataDistributed Environments

Tech Stack

Tools & technologies
AirflowAWSCloudPySparkPythonSparkVault

About the role

Key responsibilities & impact
  • Design and evolve data architecture (Data Lake / Lakehouse / Data Warehouse) on AWS
  • Build robust pipelines in Python/PySpark with a focus on performance and cost efficiency
  • Define engineering standards (orchestration, version control, CI/CD, and data testing)
  • Implement Data Quality, Observability, and Data Governance practices
  • Work with large volumes of structured and unstructured data
  • Optimize workloads in Databricks and distributed environments
  • Work closely with Product and Business teams, translating needs into scalable solutions

Requirements

What you’ll need
  • Strong experience in cloud data architecture (AWS)
  • Proficiency in analytical modeling (Star Schema, Snowflake; Data Vault is a plus)
  • Hands-on experience optimizing Spark (partitioning, shuffle, caching, and tuning)
  • Experience with cloud cost management (FinOps applied to data)
  • Experience with orchestration (Airflow, Databricks Workflows, or similar)
  • Practical knowledge of data observability (logs, metrics, and alerts)
  • Experience with version control and CI/CD for pipelines
  • Strong technical communication, advocacy, and influencing skills

Benefits

Comp & perks
  • SulAmérica Health Insurance at no cost to you; AVITA contribution toward coverage for dependents/children
  • Porto Saúde Dental Insurance at no cost to employees
  • Cuid@r Telemedicine app
  • Gympass
  • Flexible meal allowance
  • Transportation allowance or parking
  • Exclusive discounts on Itaú financial products
  • Partnership with Sesc
  • Exclusive partnership with Nivea and Eucerin
  • Salary platform, a multi-benefit hub
  • Birthday month day off
  • Flexible working hours
  • On-site or hybrid work model