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Job Openings on Data Engineer in MetLife, Hyderabad
Shaping the Future of Data: Join MetLife as a Data Engineer in Bangalore
Introduction
Data is the new oil — a phrase we’ve all heard countless times. But in today’s digital-first economy, it’s not just about owning data; it’s about harnessing it effectively. For global enterprises like MetLife, data is at the heart of digital transformation. It fuels insights, powers artificial intelligence (AI), and drives smarter decision-making.
However, raw data in isolation is like crude oil — valuable but unusable until refined. That’s where data engineers come in. They are the architects who design, build, and maintain systems that refine raw data into meaningful, accessible, and secure assets.
MetLife, one of the world’s leading providers of insurance and financial services, is seeking an experienced Data Engineer to accelerate its digital and AI transformation journey. Based in Bangalore, this role is pivotal in building modern data platforms, integrating cloud technologies, and empowering analysts and scientists to unlock the full potential of data.
In this blog, we’ll explore why this role matters, the responsibilities it entails, the skills needed, and the opportunities it presents for growth.
Why Data Engineering Matters in Today’s Business Landscape
Every organization today is data-driven, whether it’s personalizing customer journeys, predicting risks, or automating processes. But the ability to collect, clean, and deliver reliable data is what truly sets successful businesses apart.
At MetLife, the importance of data engineering lies in:
- Enabling AI and Analytics: Robust data pipelines fuel machine learning models and business intelligence tools.
- Improving Decision-Making: Data marts and curated datasets give leaders accurate insights.
- Ensuring Compliance & Security: Data engineers uphold strict governance standards to protect sensitive information.
- Accelerating Innovation: By automating pipelines and using cloud-native platforms, engineers allow faster experimentation.
Without skilled data engineers, even the most advanced AI strategies would collapse under poor data quality or inconsistent access. Simply put, data engineering is the backbone of digital transformation.
The Role of Data Engineer at MetLife
MetLife’s Data Engineer role is more than just writing ETL code. It’s about building the foundation of a modern, cloud-based data ecosystem that supports analysts, scientists, and decision-makers across the globe.
Here’s a breakdown of the core responsibilities:
1. Building Modern Data Platforms
You’ll design and implement cloud-based data lakes and data marts using Azure technologies. These platforms will serve as the single source of truth for business units and provide scalable, high-quality data access.
2. Designing Robust Data Pipelines
A key part of the role involves integrating structured, semi-structured, and unstructured data from diverse sources. You’ll build pipelines that transform raw data into usable insights while ensuring quality, governance, and compliance.
3. Implementing Medallion Architecture
To streamline data modeling, you’ll adopt the Medallion architecture (bronze, silver, gold layers). This ensures data is ingested, cleaned, and curated systematically, making it easier to use across business functions.
4. Agile & DevOps Practices
MetLife emphasizes Agile delivery in a CI/CD environment. You’ll work with Azure DevOps, Kubernetes, and containerized solutions to deploy and maintain pipelines seamlessly, while following secure coding practices.
5. Collaboration Across Teams
The Data Engineer role is not isolated. You’ll collaborate closely with business analysts, data scientists, application developers, and global teams, ensuring alignment with business needs and enabling innovation.
Key Responsibilities in Detail
To make it concrete, here’s what your day-to-day work might look like:
- Building and maintaining data lake storage solutions in Azure.
- Designing data marts that empower analysts and scientists.
- Developing ETL/ELT pipelines to handle diverse data types.
- Writing transformation and cleansing routines using Spark, Python, and SQL.
- Ensuring compliance with enterprise data standards and security policies.
- Using Azure Kubernetes Service (AKS) for containerized solutions.
- Automating workflows with Azure Scheduler and monitoring with App Insights.
- Applying best practices in authentication, authorization, and secure coding.
- Working in sprints to deliver incremental, high-quality solutions.
Candidate Qualifications
MetLife is looking for professionals who bring both technical depth and practical experience.
Education
- A Bachelor’s degree in Computer Science, Information Technology, or equivalent.
Experience
- 4–8 years in data engineering or data application development (ETL/ELT/BI).
- 2+ years in cloud-based data platforms.
- Hands-on expertise with Azure technologies, including:
- Azure Data Factory / Synapse
- Databricks / Synapse Spark Pool
- Cosmos DB
- Azure Data Lake Storage (ADLS)
- Dedicated SQL Pool / Azure SQL
- Azure Logic Apps
Technical Expertise
- Proficiency in Python, SQL, Spark, and ETL processes.
- Experience in data transformation and cleansing.
- Familiarity with CI/CD pipelines, test-driven development, and domain-driven design.
- Secure coding and use of tools like Veracode, MS Entra, PingOne.
- Knowledge of Azure Kubernetes, DevOps, SonarQube, and App Insights.
Skills & Competencies
Beyond hard skills, the role requires a unique mix of professional competencies:
- Problem-Solving: Ability to diagnose pipeline issues and optimize performance.
- Collaboration: Comfort working in global, multi-cultural teams. (Experience in a Japanese work environment is a plus.)
- Communication: Strong skills to explain complex technical topics to non-technical stakeholders.
- Adaptability: Thriving in a fast-paced environment where requirements evolve rapidly.
- Language Proficiency: Business-level English is required; Japanese language skills are a strong advantage.
Growth Opportunities in Data Engineering
Data engineering is one of the most future-proof careers today. At MetLife, you’ll have opportunities to:
- Advance into leadership roles such as Data Architect, Platform Lead, or Engineering Manager.
- Expand your expertise in areas like cloud computing, AI/ML engineering, and DevOps.
- Work on global-scale projects that impact millions of customers.
- Gain cross-cultural experience, collaborating with teams across geographies.
As the demand for cloud-native, AI-driven solutions grows, so does the importance of skilled data engineers. At MetLife, you’ll not just be riding this wave — you’ll be helping to shape it.
Why Join MetLife?
MetLife is not just another workplace; it’s a global leader committed to innovation and growth. Here’s why this opportunity stands out:
- Global Impact: Contribute to solutions that affect millions of customers worldwide.
- Innovation-First Culture: Be part of a digital transformation that embraces AI, analytics, and cloud.
- Professional Development: Access training, mentorship, and opportunities for continuous learning.
- Diversity & Inclusion: Work in a multicultural environment where collaboration and respect are core values.
- Flexibility & Agility: Embrace modern ways of working with Agile, DevOps, and hybrid collaboration.
Conclusion
The role of Data Engineer at MetLife in Bangalore is more than just a technical job. It’s about building the systems that fuel AI, analytics, and digital transformation for one of the most respected global enterprises.
If you’re passionate about Azure data platforms, ETL/ELT, and modern engineering practices, and if you have the drive to work in a global, fast-paced environment, this role offers the perfect blend of challenge and opportunity.
At MetLife, you won’t just manage pipelines — you’ll help shape the future of data-driven decision-making.
👉 Are you ready to engineer the future of data at MetLife? Apply today and be part of a transformative journey.
