Azure Data Engineer - Databricks, Dev Ops

KPI Partners is seeking an experienced Azure Data Engineer with expertise in Databricks and Dev Ops to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable data solutions on the Azure platform while ensuring seamless integration and operational efficiency.

Responsibilities:

• Design, develop, and maintain data pipelines and ETL processes using Azure Databricks.
• Collaborate with data scientists and analysts to implement data modeling and analytical processes.
• Utilize Azure services such as Data Lake, Data Factory, and Synapse to create robust data architectures.
• Implement Dev Ops practices to automate data workflows and enhance CI/CD processes.
• Monitor and optimize performance of data solutions, ensuring high availability and reliability.
• Troubleshoot and resolve data-related issues in a timely manner.
• Ensure data governance and security protocols are followed in all data engineering processes.

Qualifications:

• Bachelors degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, with a focus on Azure technologies.
• Strong proficiency in Databricks, Spark, and Azure Dev Ops.
• Experience with SQL, NoSQL databases, and data warehousing concepts.
• Familiarity with data modeling techniques and data integration tools.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced environment.

If you are passionate about data engineering and eager to contribute to innovative projects at KPI Partners, we would love to hear from you. Apply today to join our team and help us drive success through data-driven solutions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.