Microsoft Azure Cloud Data Engineer

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Written by AI from the job title and company, not by Clairvoyant, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Microsoft Azure Cloud Data Engineer at Clairvoyant, you will play a crucial role in designing and implementing data solutions that drive business insights. You will collaborate with cross-functional teams to build scalable and efficient data pipelines using Azure technologies. Your responsibilities will encompass the architecture, development, optimization, and maintenance of data processes and structures, ensuring data integrity and availability for analytics purposes while adhering to best practices and company guidelines.

Job Responsibilities

• Design, develop, and implement data pipelines and workflows in Microsoft Azure to facilitate data processing and transformation.
• Optimize and maintain existing data infrastructure, ensuring high availability and performance.
• Collaborate with data scientists and analysts to understand data needs and support analytical projects.
• Ensure data quality and integrity by implementing validation and monitoring processes.
• Work closely with other IT teams to integrate systems and support cross-functional data initiatives.
• Create and maintain documentation related to data architecture, processes, and standards.
• Stay current with Azure platform updates and industry trends to incorporate innovative solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering or a related field specifically utilizing Microsoft Azure services.
• Proficiency in data modeling, ETL processes, and data warehousing concepts.
• Hands-on experience with Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake.
• Strong programming skills in languages such as Python, or SQL.
• Knowledge of data governance, data privacy policies, and regulatory compliance.
• Excellent analytical and problem-solving skills with a strong attention to detail.

Technologies & Tools

In this position, candidates will utilize a variety of technologies and tools including Microsoft Azure Data Factory for data integration, Azure SQL Database for data storage, Azure Synapse Analytics for big data analytics, and Azure Data Lake for data storage and management. Additionally, proficiency in programming languages such as Python and SQL will be essential to facilitate data manipulation and automation tasks. Familiarity with DevOps practices and tools may be beneficial for continuous integration and continuous deployment (CI/CD) processes.

Ideal Candidates

The ideal candidates for the Microsoft Azure Cloud Data Engineer position will exhibit a strong passion for data engineering and cloud technologies. They will have an analytical mindset with a natural ability to solve complex problems efficiently. Effective communication and collaboration skills are essential, as the role requires working closely with various stakeholders. Furthermore, resilience and adaptability to emerging technologies are critical traits, enabling them to thrive in a fast-paced work environment while contributing to a culture of continuous improvement and innovation.