Senior Data Engineer

🕒 July 17

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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 and support data environments and processes in Azure and on-premises, ensuring continuous and reliable operation; • Perform advanced administration and support in Databricks (Azure), including troubleshooting and operational tuning; • Monitor and track pipelines, jobs, integrations, and data routines, adopting a preventive and corrective approach; • Implement fixes and improvements to existing processes, focusing on root cause analysis and reducing recurrence; • Lead incident management and resolution (SLA, prioritization, communication, follow-up until stabilization); • Support BI and development teams, ensuring environments are ready for new releases and demands; • Continuously evolve and improve DataOps/CI/CD pipelines for data (governance, quality, and reliability); • Collaborate with infrastructure and architecture teams when necessary (capacity, access, security, network, performance); • Ensure adherence to best practices for security, governance, and compliance in the context of data; • Propose and implement improvements in observability, monitoring, and alerts (metrics, logs, traceability).

🎯 Requirements

• Senior-level experience in Data Engineering, with a focus on sustaining and operating production environments—not only greenfield projects; • Strong experience with Databricks, including troubleshooting, maintenance, and support of jobs and pipelines; • Experience with 100% cloud environments, preferably within the Microsoft Azure ecosystem; • Proficiency in Azure Data Factory, Databricks, and DevOps/CI/CD pipelines; • Experience supporting and maintaining production pipelines, integrations, and data processes; • Knowledge of environment monitoring, incident handling, and problem management; • Experience with SLAs, ticket prioritization, incident response, root cause analysis, and post-incident actions;

🏖️ Benefits

• Position also open to candidates with disabilities (PcD)