Software Engineer II

Azure Data Engineer

Data Engineer

Role Overview

This role involves designing, developing, and maintaining cloud-native data solutions while working in an Agile environment.

Key Responsibilities

• Modern Data Platform Development:
• Build data lake components on cloud-based platforms.
• Design and develop data marts for business analysts and data scientists.
• Data Engineering & Pipelines:
• Design data pipelines to integrate structured, semi-structured, and unstructured data from multiple sources.
• Implement ETL/ELT processes to transform and cleanse data.
• Ensure data quality and transformation rules align with enterprise standards.
• Work with Medallion architecture and implement best practices for data modeling.
• Agile & DevOps Practices:
• Deliver solutions using Agile methodologies in a CI/CD-driven environment.
• Work on containerized solutions (Azure Kubernetes) and scheduling tools like Azure Scheduler.
• Follow secure coding practices and authentication/authorization protocols.
  

Candidate Qualifications

• Education: Bachelor’s degree in Computer Science or equivalent.
• Experience:
• 4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI).
• 2+ years of experience in cloud-based data platform development.
• Expertise in building Azure-based data pipelines, including:
• Azure Data Factory / Synapse
• DataBricks / Synapse Spark Pool
• Cosmos DB
• Azure Data Lake Storage (ADLS)
• Dedicated SQL Pool / Azure SQL
• Azure Logic Apps
• Hands-on experience with data transformation & cleansing using Spark, Python, R, SQL.
• Strong understanding of CI/CD, test-driven development, and domain-driven design.
  

Skills & Competencies

• Technical Expertise:
• Proficiency in Python, SQL, Spark, Azure Data Factory, and ETL processes.
• Experience in secure coding, authentication, and monitoring tools like Veracode, MS Entra, PingOne.
• Working knowledge of Azure Kubernetes, Azure DevOps, SonarQube, and Azure AppInsights.
• Soft Skills:
• Strong communication and collaboration in global, multi-cultural environments (Japanese experience is a plus).
• Able to work in a high-paced, diverse environment with a can-do attitude.
• Language:
• Business proficiency in English; Japanese language is a plus.
  

This is a great opportunity to be part of MetLife’s technology transformation journey.