Azure Data Engineer

Job summary

Company Overview: None Job Description: The Data Engineer designs, develops, and collaborates with a team of Azure Databricks and Actimize specialists, partnering with external vendors to deliver compliance and surveillance solutions.

Qualifications

• Build and optimize data integration pipelines for ingestion, transformation, and storage using Databricks and Azure Data Lake.
• Conduct detailed analysis of
• incidents, and process flows; prepare clear technical documentation for development and implementation.
• Troubleshoot and resolve issues across environments, performing root cause analysis to improve reliability and prevent recurrence.
• Deliver timely, high-quality solutions and production support to maintain compliance and customer satisfaction.
• Communicate effectively with business users, support teams, vendors, and stakeholders to ensure transparency throughout the project lifecycle.
• Manage multiple projects and tasks simultaneously, balancing priorities in a fast-paced environment.
• Develop and execute unit and integration test cases to validate changes and releases.
• Coordinate and perform system upgrades in collaboration with end users and technical teams.
• Act as an escalation point for complex production issues, ensuring minimal business impact.
• Participate in system implementations and go-lives, including occasional evening or weekend support for deployments.
• Collaborate with cross-functional teams to resolve high-priority incidents and contribute to post-implementation reviews and continuous improvement efforts.

Responsibilities

• You will combine deep technical expertise in data engineering with strong development
• Design and develop code and configurations for Azure Databricks and Actimize applications, ensuring alignment with business and technical

Degrees

Work schedule

Industry

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