Microsoft Azure Cloud Data Engineer

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

Overview

As a Microsoft Azure Cloud Data Engineer at Dice, you will be responsible for designing, implementing, and maintaining data solutions on the Azure platform. Your role entails working closely with cross-functional teams to understand data needs, architect scalable and high-performance data pipelines, and ensure the integrity and availability of data for analytical purposes. You will leverage your expertise in cloud technologies to support data analytics frameworks and contribute to the continuous improvement of data management processes, ensuring that data-driven decisions can be made efficiently and effectively across the organization.

Job Responsibilities

• Design and implement cloud-based data storage solutions on Microsoft Azure.
• Develop data pipelines and ETL processes to integrate data from various sources.
• Ensure data quality and integrity by implementing data validation frameworks.
• Collaborate with data scientists and analysts to understand data requirements and deliver effective solutions.
• Monitor and optimize data workflows for performance and reliability.
• Manage data security and compliance on Azure by following industry standards.
• Create documentation for data processes, architectures, and solutions.
• Provide technical guidance and support to team members and stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, particularly with Azure Cloud services.
• Strong proficiency in designing data models and data architectures.
• Experience with ETL tools and frameworks.
• Knowledge of programming languages such as Python, SQL, or Scala.
• Familiarity with Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics.
• Understanding of data warehousing concepts and data lakes.
• Strong analytical and problem-solving skills.

Technologies & Tools

The position of Microsoft Azure Cloud Data Engineer primarily involves using technologies such as Microsoft Azure, Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and various ETL tools. Familiarity with programming languages like Python and SQL, along with data warehousing technologies, will also be essential in this role to effectively manage and analyze large datasets.

Ideal Candidates

Ideal candidates for the Microsoft Azure Cloud Data Engineer position are analytical thinkers with a passion for data and cloud technologies. They exhibit a proactive approach to problem-solving and possess excellent communication skills to collaborate effectively with teams. A commitment to continuous improvement and a willingness to stay updated with industry trends are essential traits that contribute to their success in leveraging data for strategic decision-making within the organization.