Data Engineer

Note: This job role is part of MetLifes Hack4Job India (a hiring hackathon)
Only shortlisted candidates will be invited, Department: Global Technolog y Role Overvi ewMetLife is seeking an experienced Data Engineer to drive our digital and AI transformation journey This role focuses on building modern data platforms, enhancing data storage and access, and ensuring seamless data consumption through APIs The ideal candidate will work with Azure Cloud technologies to build robust data pipelines, data lakes, and marts to support business analysts and data scientist Key Responsibiliti esModern Data Platform Developmen t:Build data lake components on cloud-based platfor msDesign and develop data marts for business analysts and data scientis tsData Engineering & Pipeline s:Design data pipelines to integrate structured, semi-structured, and unstructured data from multiple sourc esImplement ETL/ELT processes to transform and cleanse da taEnsure data quality and transformation rules align with Enterprise standar dsWork with Medallion architecture and implement best practices for data modeli ngAgile & DevOps Practice s:Deliver solutions using Agile methodologies in a CI/CD-driven environme ntWork on containerized solutions (Azure Kubernetes) and scheduling tools like Azure Schedul erFollow secure coding practices and authentication/authorization protoco ls Candidate Qualificati onsEducation: Bachelors degree in computer science or equival entExperience: 4 8 years of experience in data engineering or data application development (ETL/ELT/ BI)2+ years of experience in cloud-based data platform developm entExpertise in building Azure-based data pipelines, includi ng:Azure Data Factory / Syna pseDataBricks / Synapse Spark P oolCosmos DBAzure Data Lake Storage (AD LS)Dedicated SQL Pool / Azure SQLAzure Logic A ppsHands-on experience with data transformation and cleansing using Spark, Python, R, SQLStrong understanding of CI/CD, test-driven development, and domain-driven des ign Skills & Competen ciesTechnical Expert ise:Proficiency in Python, SQL, Spark, Azure Data Factory, and ETL proce ssesExperience in secure coding, authentication, and monitoring tools like Veracode, MS Entra, Pin gOneWorking knowledge of Azure Kubernetes, Azure DevOps, SonarQube, and Azure AppInsi ghtsSoft Ski lls:Strong communication and collaboration in a global, multi-cultural environments (experience in a Japanese work environment is a p lus)Able to work in a high-paced, diverse environment with a can-do atti tudeLangu age:Business proficiency in English; Japanese language is a plus This is a great opportunity to be part of MetLifes technology transformation jou rney,