Data Engineer - Azure Cloud - Remote | WFH

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Job Overview

As a Data Engineer specializing in Azure Cloud at Get It Recruit - Information Technology, you will play a crucial role in designing, building, and maintaining robust data pipelines to facilitate the collection and processing of large volumes of data. Your expertise will support analytics and reporting efforts, driving data-driven decisions across multiple business units. You will work closely with data scientists, analysts, and other technical teams to ensure data availability, integrity, and accessibility while adhering to best practices in data management and cloud architectures.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines for efficient data aggregation and integration from various sources.
• Optimize database performance and data storage solutions on Azure Cloud.
• Implement data quality checks and validation processes to ensure data integrity.
• Collaborate with data scientists and analysts to understand their data requirements and provide suitable solutions.
• Monitor and troubleshoot data workflows and pipelines to resolve issues promptly.
• Document processes, data definitions, and data architecture for future reference and compliance needs.
• Stay up-to-date with industry trends in data engineering and Azure services to enhance operational efficiencies.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• Proven experience in data engineering, particularly with Azure Cloud services.
• Strong proficiency in programming languages such as Python, SQL, or Scala.
• Experience with data modeling, ETL processes, and data warehousing solutions.
• Familiarity with Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics.
• Knowledge of best practices in cloud security, data governance, and compliance standards.
• Excellent problem-solving skills and ability to work independently and as part of a team.

Technologies & Tools

This position leverages various technologies and tools, including but not limited to Azure Cloud services (such as Azure Data Factory, Azure Data Lake, and Azure SQL Database), Python for scripting and data manipulation, SQL for database management, and ETL tools for data processing. Familiarity with big data frameworks like Apache Spark and data visualization tools may also be beneficial in this role.

Ideal Candidates

The ideal candidates for this position are those who possess a strong analytical mindset and a passion for data-driven insights. They should exhibit a collaborative spirit, effectively engaging with cross-functional teams while maintaining excellent communication skills. Candidates should be detail-oriented yet able to see the bigger picture, capable of balancing individual project responsibilities with team goals. A commitment to continuous learning and adapting to new technologies within the fast-evolving cloud landscape will further define success in this role.