Azure Data Engineer

We’re searching for a Data Engineer with deep Azure expertise to help power a growing enterprise’s digital transformation. You’ll work with modern Azure tools— Data Factory, Synapse, Databricks, Data Lake, and Azure SQL —to build large-scale, cloud-native data pipelines and infrastructure. This is a full-time opportunity to design the architecture that supports everything from business intelligence to advanced AI and RAG-based applications .

This role is about more than just building data pipelines—it’s about solving hard problems at scale and working at the intersection of data, AI, and business strategy . You’ll be part of a collaborative digital technology team, partnering closely with analysts, data scientists, and DevOps engineers to unlock smarter decisions. If you’re excited by the chance to lead Azure-driven data innovation, streamline performance, and help drive machine learning initiatives—this is your kind of challenge.

Contract Duration :

Required Skills & Experience

• 3–5 years of professional data engineering experience
• Proven hands-on work with Azure Data Factory, Synapse, Databricks, Data Lake, and Azure SQL
• Strong SQL, Python, and / or Spark skills
• Experience building and managing robust ETL / ELT pipelines
• Familiarity with Azure RBAC , encryption, and regulatory frameworks like GDPR or HIPAA
• Experience with CI / CD , version control (Git), and tools like Azure DevOps
• Strong data modeling, transformation, and performance optimization skills

Desired Skills & Experience

What You Will Be Doing

Tech Breakdown

Daily Responsibilities

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