Azure Data Engineer

• Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products.
• The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery. Core Responsibilities
• Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
• Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
• Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
• Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability.
• Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
• Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
• Comfortable using AI to develop using specs - design, code, build, and review production grade pipelines. Required Technical Skills

Microsoft Windows Azure, Engineering Consulting, Microsoft Windows Azure, Data Lake, Data Storage, Scalable System Development, Consulting, Data Management, Python Programming/Scripting Language, SQL (Structured Query Language), * Snowflake

• Azure Data Factory
• Azure Data Lake Storage, * Platforms Snowflake; Azure Data Factory; Azure Data Lake Storage Engineering Advanced SQL; Python; ETL/ELT; pipeline orchestration Architecture Data warehousing; dimensional modeling; medallion architecture Operations Performance tuning; data quality; observability; production support Delivery Git; CI/CD; automated testing.
• Agile delivery Experience and Delivery Profile 10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
• Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
• Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment.
• Demonstrated focus on automation, scalability, maintainability, and measurable business value.
• Preferred Experience Power BI, semantic modeling, or analytics enablement. Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
• AI-assisted development, agentic workflows, and modern data product architectures.
• Commercial, customer, quality, field-service, or operational reporting data products.