Mid-Level Data Engineer

SysMap Solutions

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

Posted 10/9/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable Data Lake and data warehouse environments, with a strong focus on data governance and architecture. Proficient in developing ETL architectures and utilizing programming languages like Python and TensorFlow to drive data-driven decision-making.

Highest-signal resume keywords

ETL Architecture DevelopmentData ManagementPython ProgrammingDataOps ExperienceDocker and Kubernetes Operations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Lake DesignData Warehouse DevelopmentData Schema DevelopmentPredictive ModelingData Architecture DefinitionData GovernanceAlgorithmsData Performance ImprovementRelational DatabasesOperational Databases

Soft Skills

MentoringCollaborationProblem Solving

Tools & Technologies

TensorFlowDockerKubernetesGCP

Certifications & Qualifications

GCP Certification

Industry Keywords

Data Engineering Best PracticesData-Driven Recommendation MechanismsExploratory AnalysisStructured Data

Tech Stack

Tools & technologies

DockerGoogle Cloud PlatformKubernetesPythonTensorflow

About the role

Key responsibilities & impact

Design and evolve Data Lake environments, ensuring scalability and data governance
Design and build modern, modular data warehouses prepared for growth and high performance
Develop data schemas and resilient architectures in line with 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
Contribute to building data-driven recommendation mechanisms and processes
Support business squads with structured, reliable data ready to generate value
Serve as a technical reference, supporting and mentoring more junior professionals
Actively collaborate with the team to solve complex problems and turn data into actionable decisions

Requirements

What you’ll need

Experience developing ETL architectures
Knowledge of architectures for improving data performance and operations
Practical knowledge of data management, operational databases, and relational databases
Previous experience with DataOps
Practical knowledge of programming languages and algorithms, particularly Python and TensorFlow
Knowledge and experience in data development and operations, as well as Docker and/or Kubernetes integrations and operations
Bachelor's degree in Information Technology or a related field
GCP certifications are a plus

Benefits

Comp & perks

Position also open to applicants with disabilities
Collaborative and diverse work environment
Continuous learning opportunities
Commitment to excellence and continuous growth
Participation in recruitment processes without any fees