Mid-Level/Senior Data Engineer

SysMap Solutions

. Build and evolve Data Lake environments, ensuring scalability and data governance .

Posted 9/19/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and evolving Data Lake environments and data warehouses, with a strong focus on data governance, scalability, and performance. Proficient in developing ETL architectures and managing relational databases, while fostering collaboration and continuous improvement within teams.

Highest-signal resume keywords

ETL Architecture DevelopmentDataOps ExperienceRelational Database ManagementPython ProgrammingGCP Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Lake DevelopmentData Warehouse DesignData Schema DevelopmentPredictive Model SupportData Architecture DefinitionData IntegrationAlgorithmsDocker OperationsKubernetes Operations

Soft Skills

Strong OwnershipProactive MindsetEffective CommunicationCollaborative Problem SolvingCuriosity and Desire to Learn

Certifications & Qualifications

GCP Certification

Industry Keywords

Data GovernanceData Engineering Best PracticesData-Driven Decision MakingExploratory AnalysisModular Data Architecture

Tech Stack

Tools & technologies

DockerGoogle Cloud PlatformKubernetesPythonTensorflow

About the role

Key responsibilities & impact

Build and evolve Data Lake environments, ensuring scalability and data governance
Design and build modern, modular data warehouses designed for growth and high performance
Develop data schemas and resilient architectures, following data engineering best practices
Define and evolve data architecture, ensuring reliable, scalable, and well-structured environments
Conduct exploratory analyses and support the development of predictive models
Participate in building data-driven recommendation mechanisms and processes
Support business squads with structured, reliable data ready to generate value
Act as a technical reference, supporting and developing more junior professionals
Collaborate actively with the team to solve complex problems and turn data into decisions

Requirements

What you’ll need

Experience developing ETL architectures
Knowledge of architectures for improving data performance and operations
Practical knowledge of managing and operating relational databases
Previous experience with DataOps
Practical knowledge of programming languages and algorithms (Python, TensorFlow)
Knowledge and experience in data development, integrations, and Docker and/or Kubernetes operations
GCP certifications are a plus
Bachelor's degree in IT or a related field
Strong sense of ownership and commitment to delivery
Proactive and collaborative mindset
Ability to take on challenges and see them through to completion
Strong communication skills and ability to work effectively with multidisciplinary teams
Curiosity and a desire to learn and continuously grow
Builder's mindset focused on continuous improvement

Benefits

Comp & perks

This position is also open to people with disabilities (PwD)