Data Engineer (Azure)

** This is a direct hire position for one of our clients. This position is a fully remote role. Candidates must be able to work in the US without sponsorship.**

We are looking for a highly motivated Data Engineer with expertise in Azure Data Factory and PowerBI to support our data integration, transformation, and visualization efforts. The ideal candidate will have experience with ETL processes and data warehousing, with additional skills in SSIS being a plus.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines using Azure Data Factory.
• Implement and manage ETL processes to ensure efficient data extraction, transformation, and loading.
• Create and maintain data visualizations and reports using PowerBI.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
• Optimize and troubleshoot data workflows to ensure high performance and reliability.
• Develop and maintain data warehousing solutions to support analytical and reporting needs.
• Ensure data quality and integrity across all data processes.
• Document data processes, configurations, and procedures to facilitate knowledge sharing and maintain compliance.

Required Qualifications:

• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in Azure Data Factory and PowerBI.
• Experience with ETL processes and data integration.
• Solid understanding of data warehousing concepts and best practices.
• Proficiency in SQL for data querying and manipulation.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Nice to Have:

• Experience with SSIS (SQL Server Integration Services).
• Knowledge of other ETL tools and technologies.
• Familiarity with big data technologies and frameworks.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Certifications in Azure Data Engineering or related areas.

Our Vetting Process

At Emergent Software, we work hard to find the software engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:

• Application (5 minutes)
• Online Assessment & Short Algorithm Challenge (40-60 minutes)
• Initial Phone Interview (30-45 minutes)
• 3 Interviews with the Client
• Job Offer!

#EmergentStaffing

Requirements

In this role, you will design, develop, and maintain robust data pipelines using Azure Data Factory.