Design, implement, and maintain data engineering solutions using Microsoft Azure. Develop expertise in Azure Data Factory, Azure Data Lake Storage, and Snowflake. Collaborate with cross-functional teams to ensure data security, governance, and compliance.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Duration - 9 months
Location - 100% remote - EST hours
Rate - 60/hour W2
Sr Azure Data Engineer
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Qualifications
· 7+ years of experience in data engineering or related roles.
· Strong hands-on experience with Microsoft Azure, including: Azure Data Factory, Azure Data Lake Storage (ADLS Gen2), Azure Functions / Logic Apps (preferred)
· Extensive experience with Snowflake: Data warehouse design, Performance tuning, Security and access control, Streams, tasks, and time travel
· Proficiency in SQL and Python.
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· Experience with ETL/ELT frameworks and data integration patterns.
· Knowledge of data modeling concepts (Kimball, Inmon).
· Experience with Git, DevOps, and CI/CD tools.
· Strong understanding of data security, governance, and compliance.
· Excellent problem-solving and communication skills.
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