Software Engineer II

MetLife · Hyderabad

  • Experience4–8 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelmid
  • Posted14 Sept 2026
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About MetLife

MetLife is hiring in Hyderabad in insurance. This role looks for around 4+ years of experience.

Skills

  • Azure Data Factory
  • Azure Synapse
  • Databricks
  • Cosmos DB
  • Azure Data Lake Storage
  • Azure SQL
  • Azure Logic Apps
  • Spark
  • Python
  • R
  • SQL
  • ETL/ELT
  • Medallion architecture
  • CI/CD
  • Test-driven development
  • Domain-driven design
  • Secure coding
  • Authentication
  • Authorization
  • Veracode
  • Microsoft Entra
  • PingOne
  • Azure Kubernetes
  • Azure DevOps
  • SonarQube
  • Azure Application Insights
  • English

The role

A data engineer at a global insurance company builds cloud-native data platforms and data pipelines using Azure Data Factory, Spark, and Python, applying data modeling and ETL/ELT practices. The role also uses SQL and CI/CD to deliver governed analytics solutions.

Full job description

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 / SynapseDataBricks / Synapse Spark PoolCosmos DBAzure Data Lake Storage (ADLS)Dedicated SQL Pool / Azure SQLAzure Logic AppsHands-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.