Data Engineer-Data Platforms-Azure

IBM; Ernakulam; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

IBM Consulting is seeking a Data Engineer specializing in Azure data platforms to design and operate data pipelines across batch and real-time workloads. You will work with Azure Synapse Analytics, Data Factory, and Databricks to build robust data layers and enable analytics at scale.

Ideal candidates have exposure to Azure services, open source tooling, and experience implementing end-to-end data solutions on cloud platforms.

Qualifications

• Exposure to Azure toolset and data pipelines on Azure services.
• Proficiency with Azure data platform components and storage options.
• Experience designing and operating batch and real-time pipelines.
• Hands-on with open source tools like Airflow and dbt to support data engineering.
• Familiarity with Azure Event Hub, Kafka streaming, and Spark-based workloads.

Responsibilities

• Design, build, and operate batch and real-time data pipelines on Azure.
• Develop data layer on Synapse Analytics, SQL DW, and Cosmos DB.
• Apply Azure data platform components including ADLS2, Blob Storage, and Purview.
• Implement open source technologies like Airflow and dbt to support pipelines.
• Operate Azure services such as Event Hub, Streaming Analytics, and Spark on Databricks.

Skills

Azure data pipelines

Batch & real-time pipelines

Open source tools

Azure components

Python & Spark

Education

Master's Degree

Tools

Azure Synapse Analytics

Azure Data Factory

Azure DataBricks

Event Hub

Cosmos DB

Azure Purview

ADLS2

Blob Storage

SQL Data Warehouse

Spark

dbt

Airflow

Job description

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.

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 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.
• Apply Azure Expertise: Apply proficiency in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB.
• Implement Open Source Technologies: Implement open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions.
• Operate Azure Services: Operate Azure services such as Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, and Azure DataBricks with Spark.

Preferred Education

Master\'s Degree

Required Technical And Professional Expertise

• Exposure to Azure Toolset: Experience working with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub to design, build, and operate batch and real-time data pipelines.
• Proficiency in Azure Data Platform: Exposure to Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB.
• Data Pipeline Development: Experience working with batch and real-time data pipelines using Azure services, including designing, building, and operating data pipelines.
• Open Source Technologies: Exposure to open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions.
• Azure Services Operation: Experience working with Azure services such as Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, and Azure DataBricks with Spark.

Preferred Technical And Professional Experience

• Proficiency in Open Source Technologies: Exposure to open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to support data engineering solutions.
• Knowledge of Azure Services: Experience working with Azure services such as Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, and Azure DataBricks with Spark.
• Familiarity with Data Pipeline Development: Exposure to designing, building, and operating batch and real-time data pipelines using Azure services.