Software Platform Engineer ||

Position Summary

The MetLife Corporate Technology (CT) organization is evolving to enable MetLife s New Frontier strategy. With a strong vision in place, we are a global function focused on driving digital technology strategies for key corporate functions within MetLife including, Finance, Actuarial, Reinsurance, Legal, Human Resources, Employee Experience, Risk, Treasury, Audit and Compliance. In partnership with our business leaders, we develop and deliver seamless technology experiences to our employees across the entire employee lifecycle. Our vision and mission is to create innovative, transformative and contemporary technology solutions to empower our leaders and employees so they can focus on what matters most, our customers. We are technologists with strong business acumen focused on developing our talent to continually transform and innovate.

We are seeking a highly motivated and skilled Azure Data Engineer to join our growing team in Hyderabad. This position is perfect for talented professionals with 4-8 years of experience in designing, building, and maintaining scalable cloud-based data solutions. As an Azure Data Engineer at MetLife, you will collaborate with cross-functional teams to enable data transformation, analytics, and decision-making by leveraging Microsoft Azure s advanced technologies.

He/she should be a strategic thinker, an effective communicator, and an expert in technological development.

Key Relationships

Internal Stake Holder

Key Responsibilities

Design, develop, and maintain efficient and scalable data pipelines using Azure Data Factory (ADF) for ETL/ELT processes.

Build and optimize data models and data flows in Azure Synapse Analytics, SQL Databases, and Azure Data Lake.

Work with large datasets to define, test, and implement data storage, transformation, and processing strategies using Azure-based services.

Create and manage data pipelines for ingesting, processing, and transforming data from various sources into a structured format.

Develop solutions for real-time and batch processing using tools like Azure Stream Analytics and Event Hubs.

Implement data security, governance, and compliance measures to ensure the integrity and accessibility of the organization s data assets.

Contribute to the migration of on-premises databases and ETL processes to Azure cloud.

Build processes to identify, monitor, and resolve data inconsistencies and quality issues.

Collaborate with data architects, business analysts, and developers to deliver reliable and performant data solutions aligned with business requirements.

Monitor and optimize performance and cost of Azure-based data solutions.

Document architectures, data flows, pipelines, and implementations for future reference and knowledge sharing.

Knowledge, Skills, and Abilities

Education

A Bachelors/masters degree in computer science or equivalent Engineering degree.

Candidate Qualifications:

Education:

Bachelors degree in computer science, Information Systems or related field

Experience:

Required:

4-8 years of experience

Azure Data Factory (ADF)

data modeling, ETL/ELT processes

Python, SQL, and Spark

big data platforms

Azure Stream Analytics, Event Hubs

security protocols

Solid understanding of Azure DevOps for CI/CD pipelines around data workflows.

Strong problem-solving skills with attention to detail and a results-driven mindset.

Excellent collaboration, communication, and interpersonal skills for working with cross-functional teams.

Preferred:

data warehouse migrations

Power BI

Certification in Azure Data Engineer Associate or Azure Solutions Architect is a plus.

AI/ML pipelines

Skills and Competencies:

Language:

Proficiency at business level in English.

Competencies:

Communication: Ability to influence and help communicate the organization s direction and ensure results are achieved

Collaboration: Proven track record of building collaborative partnerships and ability to operate effectively in a global environment

Diverse environment: Can-do attitude and ability to work in a high paced environment

Tech Stack

Development & Delivery Methods:

Agile (Scaled Agile Framework)

DevOps and CI/CD:

Azure DevOps

Development Frameworks and Languages:

SQL

Spark

Python

Azure:

Functional Knowledge of cloud based solutions