Senior Data Engineer

SysMap Solutions

. Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and delivery .

Posted 9/25/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and maintaining scalable data pipelines, utilizing advanced SQL, Apache Spark, and Python for data processing. Proficient in cloud data architecture, particularly with AWS, and experienced in implementing CI/CD processes using Azure DevOps.

Highest-signal resume keywords

Data Pipeline DevelopmentAdvanced SQL SkillsApache Spark ExperiencePython ProgrammingAzure DevOps Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL/ELT ProcessesData LakesData WarehousesData GovernanceData Quality Best PracticesData VisualizationBI ToolsAnalytical SkillsStructured Thinking

Soft Skills

Effective CommunicationCollaborative Problem-SolvingContinuous Improvement

Tools & Technologies

AWS Data ServicesAzure DevOpsApache SparkPythonSQL

Industry Keywords

Healthcare EnvironmentAsset ManagementMaintenance DataEngineering DataFacilities DataModern Data ArchitecturesLakehouseData MeshDataOps

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and delivery
Structure and optimize analytical data models focused on hospital operations (maintenance, assets, infrastructure, and facilities)
Develop data processing routines using Spark and Python for large datasets
Create and optimize complex SQL queries, ensuring high performance and data integrity
Implement CI/CD and code versioning processes using Azure DevOps
Work with data architecture in cloud environments, primarily AWS, ensuring scalability and security
Integrate data from different corporate systems and operational platforms
Support analytics and dashboard initiatives, ensuring the reliability of the data layers consumed by business teams
Work with Facilities, Engineering, and Asset Management teams to understand data needs and translate them into technical solutions

Requirements

What you’ll need

Solid experience as a Senior or Expert-level Data Engineer
Advanced SQL skills for manipulating and optimizing large volumes of data
Experience with Apache Spark for distributed processing
Python programming for data engineering and automation
Experience with Azure DevOps (version control, CI/CD pipelines, and code management)
Experience with data architecture and AWS data services
Experience with data modeling, ETL/ELT, and building Data Lakes or Data Warehouses
Knowledge of data governance and data quality best practices
Experience in a hospital or healthcare environment
Experience working with asset management, maintenance, engineering, or facilities data
Experience with modern data architectures (Lakehouse, Data Mesh, or DataOps)
Knowledge of data visualization and BI tools
Strong analytical and structured-thinking skills
Effective communication with technical and business teams
Collaborative profile, with a focus on problem-solving and continuous improvement
Ability to work in complex environments with large volumes of operational data

Benefits

Comp & perks

Remote work
Open to candidates with disabilities