Description and Requirements

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.

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!