Senior Azure Data Engineer

Candidate Profile

Skills & Competencies

• · Technical Skills:
• § Python, PySpark, SQL, Spark SQL, data modeling, ETL/ELT design, orchestration, data quality, metadata management, and performance tuning.
• § Modern lakehouse patterns including Bronze/Silver/Gold layers, Delta Lake, schema evolution, slowly changing dimensions, and reusable ingestion frameworks.
• § CI/CD, Git, Azure DevOps, automated testing, environment configuration, release pipelines, SonarQube, and secure coding practices.
• § Monitoring and observability using Azure Monitor, Application Insights, logs, alerts, pipeline health checks, and operational dashboards.
• · Leadership & Collaboration:
• § Ability to lead engineers, mentor junior team members, influence design decisions, and promote engineering best practices.
• § Strong communication skills with the ability to work across global, multi-cultural teams and translate business needs into scalable technical solutions.
• § Comfortable working in a fast-paced Agile environment with ownership mindset, delivery focus, and continuous improvement culture.
• · Certifications Preferred / Add-ons:
• § Microsoft Certified: Azure Data Engineer Associate.
• § Microsoft Certified: Azure Databricks Data Engineer Associate.
• § Databricks Certified Data Engineer Associate or Professional.
• § Azure Solutions Architect, Azure Developer, or relevant cloud/data engineering certifications are a plus.
• Why Join Us? Be part of MetLife’s technology transformation journey and help build modern, secure, scalable, and governed data platforms that create meaningful business impact. If you are passionate about Azure, Databricks, data engineering, and leading teams to deliver high-quality solutions, we would love to connect.