Azure Data Engineer ( Azure DevOps , Azure Data Factory, Azure Data Lake , Azure Data Bricks)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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

Job Overview

As an Azure Data Engineer at MethodHub, you will play a crucial role in designing, developing, and maintaining robust data solutions leveraging Azure's suite of data services. You will be responsible for implementing and managing data architectures that meet the needs of our clients, ensuring seamless integration and accessibility of data across various platforms. This position requires a strong proficiency in Azure DevOps, Azure Data Factory, Azure Data Lake, and Azure Databricks to construct efficient data pipelines and enable advanced analytics capabilities.

Job Responsibilities

• Design, implement, and manage data integration solutions using Azure Data Factory.
• Develop and maintain data storage solutions using Azure Data Lake and Azure Databricks.
• Collaborate with cross-functional teams to define data requirements and translate them into technical specifications.
• Optimize data pipelines for performance, scalability, and reliability.
• Monitor and troubleshoot data processes to ensure data quality and accessibility.
• Implement Azure DevOps practices for continuous integration and deployment of data solutions.
• Prepare and present technical documentation to stakeholders to explain data architectures and processes.
• Stay current with the latest features and best practices in Azure data technologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data engineering or a similar role.
• Proficiency in Azure services including Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure DevOps.
• Strong experience with SQL and data modeling concepts.
• Understanding of cloud concepts, data warehousing, and big data technologies.
• Familiarity with programming languages such as Python, Scala, or C#.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

In this role, you will leverage various technologies and tools, including but not limited to Azure Data Factory for data integration, Azure Data Lake for scalable storage solutions, Azure Databricks for data analytics and machine learning, and Azure DevOps for managing code deployments and workflow automation. Familiarity with tools like SQL Server, Power BI, and Git will also be advantageous for enhancing the overall data ecosystem.

Ideal Candidates

The ideal candidates for the Azure Data Engineer position at MethodHub are those who possess a strong analytical mindset, with a passion for transforming data into impactful insights. They should exhibit excellent communication skills to effectively collaborate with various teams and stakeholders. Adaptability and a continuous learning approach are essential, as the field of data engineering is constantly evolving. A commitment to excellence and a proactive attitude towards problem-solving will set successful candidates apart in this dynamic environment.