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 recent 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 a Data Engineer specializing in Data Platforms on Azure, you will advise on, develop, and maintain data engineering solutions on the Azure Cloud ecosystem. You will design, build, and operate batch and real-time data pipelines using various Azure services.

Your Primary Responsibilities Will Include

• Design and Build Data Pipelines: Design, build,



and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub.
• Develop Data Layer: Design, build, and operate the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB, ensuring seamless data integration and management.
• Leverage Azure Data Platform: Utilize Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB, to develop and maintain scalable data solutions.
• Implement Open Source Technologies: Apply expertise in open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to enhance data engineering solutions.
• Ensure Data Quality: Collaborate to ensure high-quality data delivery, adhering to data governance and compliance standards.

Preferred Education

Master's Degree

Require

📌 Data Engineer-Data Platforms-Azure (Hyderabad)
🏢 IBM
📍 Hyderabad