Senior Application Developer-Microsoft Cloud

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As an Application Developer specializing in Microsoft Cloud, you will design, implement, and support Microsoft Azure Data cloud platform. You will utilize your knowledge of data pipelines, storage solutions, processing, and integration to deliver solutions. Your primary responsibilities will include: * Design and Implement Data Pipelines: Create and maintain data pipelines using Azure Data Factory, Azure Data Lake Storage, and other Azure services to ensure efficient data processing and integration. * Develop and Maintain Data Storage Solutions: Design and implement data storage solutions using Azure Data Lake Storage, Azure SQL Server, and Cosmos DB to meet business requirements. * Integrate Data Services: Integrate data services using Azure Data bricks, Synapse, Microsoft Fabric, and Purview to enable seamless data processing and analysis. * Write Efficient Code: Write high-quality code in languages such as Python, TSQL, Java, R, or Scala to develop and maintain data solutions. * Collaborate with Teams: Work collaboratively with teams to deliver solutions, utilizing Azure Dev Ops to ensure efficient development and deployment.

Required education
Bachelor's Degree

Preferred education
Bachelor's Degree

Required technical and professional expertise

* Cloud Platform Expertise: Experience working with Microsoft Azure Data cloud platform, including designing, implementing, and supporting cloud-based data solutions. * Data Pipeline Development: Exposure to creating and maintaining data pipelines using Azure Data Factory, Azure Data Lake Storage, and other Azure services. * Programming Language Skills: Proficiency in at least one programming language, such as Python, TSQL, Java, R, or Scala, with the ability to write high-quality code for data solutions. * Data Storage Solution Design: Experience working with data storage solutions using Azure Data Lake Storage, Azure SQL Server, and Cosmos DB. * Azure Dev Ops Knowledge: Working knowledge of Azure Dev Ops, with the ability to utilize it for efficient development and deployment.

Preferred technical and professional experience

* Working Knowledge of Azure Dev Ops: Familiarity with Azure Dev Ops is beneficial for efficient development and deployment. Exposure to utilizing Azure Dev Ops for collaborative work and solution delivery is preferred. * Open AI/Gen AI Services: Knowledge of Open AI/Gen AI services is advantageous for designing and implementing innovative data solutions. Familiarity with integrating these services with Azure Data cloud platform is preferred.