Databricks Engineer

🕒 April 10

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DysrupIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Enterprise • SaaS • Cybersecurity

DysrupIT is a global cloud services and IT solutions firm that helps organizations adopt cloud technologies and transition to as-a-Service business models. The company provides enterprise cloud, managed services, application engineering, cybersecurity, and data analytics & information management, serving SMBs through multinational enterprises with Microsoft and other cloud platforms. DysrupIT also emphasizes community impact, talent development, and long-term partnerships to deliver secure, scalable, and business-aligned technology outcomes.

📋 Description

• Design, develop, and maintain data pipelines using Databricks and related technologies • Build and optimize ETL/ELT processes for large-scale data processing • Work with structured and unstructured data across multiple data sources • Develop and manage data models to support analytics and reporting requirements • Collaborate with stakeholders including data analysts, developers, and business teams to understand data needs • Ensure data quality, integrity, and governance across data platforms • Monitor and troubleshoot data workflows and performance issues • Contribute to continuous improvement of data engineering practices and standards

🎯 Requirements

• Minimum 2+ years of experience in data engineering • Hands-on experience with Databricks • Strong proficiency in Python and/or SQL • Experience with data pipeline development and data transformation frameworks • Familiarity with cloud platforms (e.g., Azure, AWS, or GCP) • Understanding of data warehousing concepts and modern data architectures • Experience with version control tools (e.g., Git) • Strong problem-solving skills and attention to detail.