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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, popular Azure data role in a metro location with broad requirements increases applicant competition.
Core data engineering skills are transferable, but Azure Synapse and Agentic AI emphasis raises domain specificity to medium.
Explicit 5–8 years plus mandatory Azure Synapse, SQL, and cloud skills create stringent shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable data pipelines using Azure Synapse, Spark notebooks, and Azure Functions for multi-tenant SaaS applications.
Perform data ingestion, transformation, and incremental loading from multiple sources with SQL and NoSQL databases, optimizing for performance and security.
Utilize AI-assisted development tools daily for coding, testing, and documentation, while critically validating AI-generated output.
Minimum Requirements
5 to 8 years of relevant work experience in data engineering roles.
Proficiency with Azure Synapse Analytics (Pipelines, SQL pools) and hands-on experience with PostgreSQL, Azure SQL, or Cosmos DB.
Strong SQL skills, knowledge of data modeling, incremental loads, CDC, performance tuning, and basic Azure security concepts (Managed Identity, RBAC, Key Vault).
Hands-on experience with AI-assisted development tools like GitHub Copilot or ChatGPT, including effective prompting and validation of AI-generated code.
Ideal Candidate Profile
Experienced in building and managing large-scale, secure data platforms on Azure for SaaS multi-tenant environments.
Comfortable working alongside AI-augmented engineering workflows and validating AI outputs critically.
Familiar with event-driven processing, Microsoft Fabric, Delta Lake, CI/CD, and modern collaborative development practices enhancing data engineering efficiency.