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Azure Data Engineer

Prepcloud • Chicago, IL, US • 5d ago

Chicago, US

Job Type

: Contract

Work location

: Remote

Salary

: $55 / Hour

Description

Preferred

Synapse Analytics and SQL Server Dedicated pool
Health Care Domain exp is mandatory

Job Description:

We are seeking a highly motivated Azure Data Engineer with hands-on expertise in Azure Data Factory, Databricks, and Synapse Analytics. The ideal candidate will have a passion for designing and implementing data pipelines, exceptional troubleshooting skills, and experience working in Agile environments. This role is crucial in enabling data-driven decisions through robust data engineering practices and delivering impactful analytics solutions.

Responsibilities:

Develop, maintain, and optimize ETL pipelines using Azure Data Factory for seamless data integration and processing.
Design and implement scalable data solutions with Databricks and Synapse Analytics (dedicated pools).
Write and optimize complex T-SQL queries to support data extraction and transformation processes.
Troubleshoot and resolve technical issues across the data engineering stack to ensure uninterrupted data flow and performance.
Collaborate with cross-functional teams to gather requirements, define data solutions, and support analytics initiatives.
Work in Agile environments, utilizing Azure DevOps for project management and deployment.
Take initiative in identifying and implementing process improvements to enhance data engineering workflows.

Qualifications:

2+ years of hands-on experience with Azure Data Factory and Databricks.
Proficiency in T-SQL and solid ETL development experience.
Experience with Synapse Analytics, particularly dedicated SQL pools.
Demonstrated ability to troubleshoot and resolve issues using the above technologies.
Self-starter with the ability to take initiative and work independently.
Strong problem-solving skills and attention to detail.

Preferred Skills:

Experience working in Agile environments and utilizing Azure DevOps for task management and collaboration.
Familiarity with the healthcare domain and associated data engineering requirements.
Excellent communication and interpersonal skills to work effectively with technical and non-technical stakeholders.