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Associate Data Engineer

Associate Data Engineer

AssurantBuenos Aires
Hace más de 30 días
Descripción del trabajo

Job Purpose

The Associate Data Engineer will play a critical role in ensuring massive reservoirs of big data availability, seamless integration and deployment of Machine Learning, Artificial Intelligence, and Generative AI applications on the Azure platform.

This position will collaborate closely with Data Engineers, Data Warehouse Developers, Data Scientists, Cloud Engineers, Enterprise Architects, Security, and Network Engineers to design and implement robust CI / CD processes using Assurant's Azure DevOps and GitHub Enterprise infrastructure.

Primary Job Accountabilities and Responsibilities

Perform hands-on programming work with Microsoft technology stack, including .NET Core, Microservices, Web API, C#, ASP.NET, ADO.NET, MVC, Entity Framework, SQL Server andPython.

Participate in continuous integration and continuous delivery (CI / CD) pipeline development and maintenance using Azure DevOps and GitHub using

May also implement infrastructure as code (IaC) practices using Terraform and Azure Resource Manager (ARM) templates to provision and manage Azure resources

Troubleshoot and resolve errors in production systems, logging detailed information and providing customer updates

Assist other engineers in product development, optimization, and process improvement efforts

Coordinate data-related activities and manage customer expectations during system maintenance

Assist with data reconciliation to ensure high-quality data for reporting, analytics, ML, and AI solutions

Monitor production solutions to ensure compliance with established SLA metrics and data quality standards

Participate in all Agile ceremonies and stand-ups

Contribute to research and proof of concept development as guided by Senior and Lead Engineers

Create comprehensive documentation and track technical issues

Communicate effectively with cross-functional teams and customers

Stay updated with the latest industry trends and technologies to propose and implement improvements

Basic QualificationsRequired

Education

Bachelor's degree with 3+ years of experience in engineering, science, or computer science

Alternatively, a Master's degree with 2+ years of experience

TechnicalSkills and Experience

Proficiency in at least one cloud platform (Microsoft Azure, AWS, or Google Cloud Platform)

Experience with containerization concepts and tools (Docker and Kubernetes)

Proficiency in scripting languages such as PowerShell, Bash, or Azure CLI

Knowledge of agile methodologies (Scrum or Kanban)

Understanding of security best practices and compliance frameworks (e.g., GDPR)

Experience with Cloud Service Models : PaaS, IaaS, SaaS

Minimum 3 years of development experience using Microsoft technology stack

Strong problem-solving and troubleshooting abilities

Excellentcollaboration and communicationskills

PreferredExperience, Skills, and Knowledge

Knowledge of foundational concepts in :

Business Intelligence

Data Warehousing

Machine Learning

Artificial Intelligence

LargeLanguageModels

Experiencewith : SQL, Python

Linux Shell Scripting, Microsoft PowerShell

Spark, PySpark

NoSQL

Proficiency in creating interactive web applications and single-page applications

Experience writing unit test cases for business logic, repositories, and controllers

Vendor-based cloud certifications in Azure or DevOps (e.g., Microsoft Certified : Azure Fundamentals, Microsoft Certified : Azure DevOps Engineer Expert)

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Data Engineer • Buenos Aires