Create and manage scalable data pipelines while integrating diverse systems and optimizing data structures to enhance data processing efficiency.
• Create and manage scalable data pipelines to collect, process, and store large volumes of data from multiple sources
• Integrate data from diverse systems while ensuring consistency, quality, and reliability
• Design, implement, and optimize database schemas and data structures to support efficient storage and retrieval
• Develop, maintain, and enhance ETL (Extract, Transform, Load) processes to move data accurately and efficiently between systems
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field
• 5+ years of hands-on experience with SQL, Python, .NET, SSIS, and SSAS
• 2+ years of experience working with Azure cloud services, especially SQL Server, Azure Data Factory (ADF), Azure Databricks, ADLS, Key Vault, Azure Functions, and Logic Apps (strong focus on Databricks)
• 2+ years of experience using Git for version control and deploying code through CI/CD pipelines
Increasingly builds a security alert monitoring platform that enables organizations to prioritize and escalate threats swiftly and effectively. Its focus on ensuring timely response based on defined SLAs makes it an essential tool for businesses looking to enhance their cybersecurity posture.
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Data Engineer Q&A's