Design, develop, and maintain cloud-native Azure data solutions, including data lakes, data marts, pipelines, and ETL/ELT processes. Integrate and transform structured and unstructured data using Spark, Python, R, and SQL. Implement Medallion architecture, data modeling, quality standards, CI/CD, secure coding, containerized solutions, and Agile delivery practices.
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
Candidate Qualifications
Skills & Competencies
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!
#BI-Hybrid
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!
#BI-Hybrid
MetLife Hyderabad, Telangana, IND Office
MetLife Hyderabad, IN Office
11th, 12th & 13th Floor, Prestige Sky Tech, Poppalagunda Village, Gandipet Mandal, Hyderabad, Telangana, India, 500032
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Monitor and improve the reliability, availability, and performance of critical applications and platforms. Respond to incidents, maintain observability dashboards and runbooks, automate operational tasks, support root cause analysis and postmortems, and help implement SRE practices such as SLIs, SLOs, SLAs, and error budgets. Collaborate with engineering, cloud, infrastructure, and application teams across hybrid cloud and containerized environments.
Top Skills:
ApmAzureAzure Application InsightsAzure DevopsAzure MonitorBashCi/CdDockerElastic/ElkGitGitGrafanaKubernetesLinuxPowershellPrometheusPythonServicenowSplunkSQLTerraform
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develops and maintains automated tests across web, API, and native applications. Applies test methodologies, automation frameworks, CI/CD, test-driven development, Agile practices, and performance testing using tools such as JMeter and BlazeMeter. The role requires strong automation experience in financial services or technology environments and proficiency with Java or TypeScript and Azure DevOps.
Top Skills:
Azure DevopsBlazemeterCi/CdJavaJmeterTest Automation FrameworksTypescript
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Designs and delivers enterprise Azure data platforms, lakehouses, ETL/ELT pipelines, and streaming solutions using Databricks, Spark, Delta Lake, and related Azure services. Leads engineering delivery, mentors team members, establishes technical standards, and collaborates with stakeholders. Responsibilities include data modeling, performance tuning, governance, security, CI/CD, monitoring, observability, and operational readiness across Agile and DevOps environments.
Top Skills:
SparkApplication InsightsAuto LoaderAzure Cosmos DbAzure Data FactoryAzure Data Lake StorageAzure DatabricksAzure DevopsAzure Logic AppsAzure MonitorAzure SqlAzure Synapse AnalyticsDedicated Sql PoolDelta LakeDelta Live TablesGitGithub ActionsAzureMicrosoft Entra IdPysparkPythonSonarqubeSpark SqlSQLUnity Catalog
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
