Azure ADF Data Engineer

Remote Full-time
Dice is the leading career destination for tech experts at every stage of their careers. Our client, ChaTeck Incorporated, is seeking the following. Apply via Dice today!

Role: Azure ADF Data Engineer

Location: Remote (CST Hours)

Why Join Us:
• Work remotely with flexible hours.
• Opportunity to extend beyond the initial contract.
• Lead cutting-edge cloud data integration initiatives.
• Collaborate with a highly skilled and supportive data engineering team.

Role Overview: We are seeking a skilled and proactive Azure ADF Data Engineer . This senior-level role is fully remote and ideal for a Data Engineer passionate about scalable cloud data solutions within Azure environments.

Key Responsibilities:
• Design and develop robust Data pipelines using Azure Data Factory (v2).
• Optimize and monitor data workflows for performance, scalability, and reliability.
• Troubleshoot bottlenecks and ensure high-quality data processing.
• Collaborate with architects and analysts to convert requirements into efficient data solutions.
• Integrate data from Azure SQL, Blob Storage, APIs, and on-prem systems.
• Utilize Azure services like Data Lake, Synapse Analytics, Key Vault, and Logic Apps.
• Document technical workflows, processes, and data mappings.

Required Qualifications:
• 10+ years of hands-on experience with Azure Data Factory.
• Proven ability to tune and troubleshoot complex data pipelines.
• Strong SQL proficiency with Azure SQL Database and/or Synapse Analytics.
• Knowledge of data modeling, transformation, and integration practices.
• Familiar with Azure services such as Data Lake, Key Vault, and Azure Monitor.
• Excellent analytical and independent problem-solving skills.
• Strong communication and documentation abilities.

Preferred Qualifications:
• Exposure to CI/CD, Git, and DevOps for data pipelines.
• Familiarity with data governance, cataloging, and lineage tools.

Ready to drive cloud data transformation? Apply now and be part of our innovation journey!

Apply Now
Apply Now →

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