Senior Data Engineer

🔥 5 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SysMap Solutions

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.

📋 Description

• 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

• 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

• Remote work • Open to candidates with disabilities