Cloud Data Engineer

1 week ago

Cary, United States MetLife Full time

Role Value Proposition:

As a Cloud Data Engineer on the team, you will be responsible for leading the technical design and development of cloud-enabled, DevOps, multi-platform, and cross-functional applications that solve complex business problems. The role will be a highly visible hands-on technology driver supporting platform product development by creating innovative solutions, as well as driving solutions that modernize, stabilize, and support the growth of our portfolio. You will interact with the Agile Release Team (ART), senior Business and IT Leaders, and IT partners, providing technical support throughout the Agile lifecycle. The focus will include solution design, development, CICD, automation, security assessment and resolution, and performance tuning. Data enablement through multiple data stores, supporting different kind of analytical use cases to be able to derive predictive, prescriptive, and descriptive insights. You will engage with multiple concurrent teams and provide governance to ensure that standards and best practices are followed.

Key Responsibilities:

As part of a Scaled Agile scrum team, develop modern cloud-native and on-prem applications within our Compensation and Producer management ART of MetLife Holdings portfolio.

Lead the technical design, development, and integration of solutions using existing and emerging data platforms.

Hands-on development and setup of data pipelines, databases, and data sources to build ML and AI apps.

Appetite to learn new technologies and be ready to work on new cutting-edge cloud technologies.

Hands-on development with a focus on application transformation, modernization, site reliability, containerization, and building data pipelines and ETL solutions in cloud-native technologies.

Participate in fit/gap analysis of requirements, help manage feature deliverables, provide tactical and strategic options to address production issues, and develop code as per modern standards.

Mentor, motivate, influence, and coach the broader technical team to help push best practices and understanding of modern design and development practices.

Essential Business Experience and Technical Skills:

Required:

5+ years of experience in software development with a strong technical understanding of designing and building data pipelines using cloud-native data tools like ADF, Synapse, Power Platform, and Snowflake.

5+ years of experience in database setup, performance tuning, and complex data analysis in Azure SQL, DB2 and Cosmos DB, MongoDB, etc.

Hands-on experimentation with prompt engineering, semantic search, and GenAI

Excellent verbal and written communication skills as well as ability to establish strong relationships across teams to effectively deliver work across the enterprise.

Bachelors degree in computer science, Information Systems, Engineering, or similarly related field.

Preferred:

Experience using SQL Server Integration Services to develop ETL packages that transform and load data.

Experience with Power BI

Experience Azure cloud technologies and DevOps products like AzDO.

Exposure to modern AI concepts such as generative AI, various models of machine learning, large language models, conversational AI (chatbot, etc.) as well as involvement in older concepts like automation, robotics, and scripting.

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