EMEA Tech - Software Platform Engineer II

Description and Requirements
The MetLife EMEA Technology organization is evolving to enable MetLife's New Frontier strategy. With a strong vision in place, we are a function focused on driving digital technology strategies for key technology functions within MetLife including. 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.
As part of Tech Talent Transformation (T3) agenda, MetLife is establishing a Technology Center in India. This technology center will perform as an integrated organization between onshore, offshore, and strategic vendor partners in an Agile delivery model.
We are seeking a highly skilled Data Engineer , with hands-on in Data Pipeline development, Azure Synapse, Azure Data Factory, and Databricks . He/she should be responsible for the design, development and maintenance of software development solutions within a defined system, platform or product, based on a set of standards and processes which establish consistency across the enterprise data, reduce risk and promote efficiencies in support of the organization's goals and objectives. This family can be used for both roles that require a complete technology stack of capabilities as well as roles that require to work on a single technology stack, application or platform.
Data engineering role can be used where the work requires a minimal amount of technology stack capabilities, work on a single application or roles that support platforms, SaaS, COTS
Key Relationships:
Internal Stake Holder - EMEA ART Leader, ART Leadership team, India EMEA Technology AVP, and Business process Owners for EMEA Technology.
Key Responsibilities:
Data Pipeline Development:

• Design and implement robust ETL/ELT pipelines using Azure Data Factory.
• Integrate data from multiple sources (structured, semi-structured, unstructured) into Azure data services.

Data Warehousing & Analytics:

• Build and optimize data models in Azure Synapse Analytics for reporting and analytics.
• Implement partitioning, indexing, and performance tuning for large datasets.

Big Data & Advanced Analytics:

• Develop and maintain Databricks notebooks for data transformation, cleansing, and machine learning workflows.
• Work with PySpark or Scala for distributed data processing.

Data Governance & Security:

• Ensure compliance with data security standards and implement role-based access controls.
• Manage data quality, lineage, and metadata using Azure Purview (optional but preferred).
• Collaboration & Documentation:
• Work closely with data architects, analysts, and business stakeholders to deliver end-to-end solutions.
• Document technical designs, workflows, and best practices.
• Assists in the creation of architectural specifications, ensuring feasibility, functionality, and integration with existing systems and/or SaaS platforms in a limited capacity.
• Participate in the collection and documentation of user requirements as well as the development of user stories and estimates with software, strategic platforms and/or COTS.
• Participates in technical design, development, implementation and maintenance of application systems.
• Participate in peer reviews of solution designs, related code, and/or related SaaS and/or COTS configuration.
• Participates in the investigation and resolution of production management incidents, problems, and service requests (in partnership with SaaS providers for Platforms).
• Supports production applications/platforms (in partnership with SaaS providers for Platforms)
• Identifies innovative solutions to technical challenges

Education:

• Bachelor of Computer Science or equivalent.

Technical Stack:

• Main Skill: Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, and Databricks.
• Proficiency in SQL, Python, and PySpark.
• Experience with Azure Blob Storage, Azure Data Lake, and Azure Key Vault.
• Knowledge of CI/CD pipelines for data solutions using Azure DevOps.
• Experience in data engineering roles, with Azure cloud services
• Proven track record of building scalable data pipelines and analytics solutions.
• Communication: Ability to communicate effectively to ensure results are achieved
• Agile Practices
• DevSecOps, CI/CD
• Collaboration Tools
• Product/Business/Industry experience
• Application Design/Architecture
• Cloud Native Technologies

Soft Skills:

• Excellent problem-solving, communication, stakeholder management and analytical skills.

• Excellent communication and collaboration abilities.

• Ability to balance technical innovation with business value delivery.
• Self-Motivated and able to work independently.
• Team Player
• Decisive
• Supportive
• Passionate
• Professional
• Accountable

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.
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!
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