Mid-Level Data Engineer

Job not on LinkedIn

🔥 43 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 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

• Maintain data environments and processes in Azure and on-premises environments, ensuring continuous and reliable operations • Provide administration and advanced support for Databricks on Azure, including troubleshooting and operational adjustments • Monitor and oversee pipelines, jobs, integrations, and data routines with a preventive and corrective approach • Implement fixes and improvements to existing processes, identifying root causes and reducing recurrence • Lead incident management and resolution, including SLA management, prioritization, communication, and follow-up through stabilization • Support BI and development teams by ensuring environments are ready for new releases and requirements • Continuously evolve and improve DataOps and CI/CD pipelines for data, focusing on governance, quality, and reliability • Collaborate with infrastructure and architecture teams as needed on capacity, access, security, networking, and performance • Ensure compliance with security, governance, and compliance best practices in the data environment • Propose and implement improvements to observability, monitoring, and alerting, including metrics, logs, and traceability

🎯 Requirements

• Mid-level experience in Data Engineering with a focus on production support and operations, not only greenfield projects • Strong experience with Databricks, including troubleshooting and supporting jobs and pipelines • Experience working in cloud environments, preferably Microsoft Azure • Experience supporting pipelines, integrations, and data processes in production • Knowledge of monitoring, incident management, and problem management, including SLA management, prioritization, response, and post-incident activities • Strong experience in data projects, pipeline development and support, data integration, data modeling, and work in analytics environments • Degree in Information Technology and/or Data Engineering