About USEReady

USEReady helps enterprises apply AI and agentic intelligence to improve decisions, automate operations, and build smarter, more autonomous business systems.

For more than a decade, we have built the foundations that make this possible by modernizing BI environments, migrating legacy platforms, improving data quality, and enabling governed, cloud-first architectures.

These foundations now support the next step: AI-driven insights, automated intelligence, and agent-powered decision support that reduce complexity and accelerate outcomes.

We work closely with technology leaders such as AWS, Elementum, Snowflake, Tableau, Databricks, and others to help organizations modernize analytics, strengthen governance, and deploy agentic automation with confidence.

We founded in 2011 and Headquartered in Recent York City with 450+ experts across the United States, Canada, India, and Singapore, we serve industries including financial services, healthcare, manufacturing, government, education, and retail.

Our deep expertise, player-coach delivery model, and focus on fast,



measurable results make us a trusted partner for building an AI-ready enterprise.

About The Role

We are looking for an experienced Senior Azure Data Engineer with strong hands-on expertise in Databricks, Azure Data Factory (ADF), PySpark, Python, and SQL.

The ideal candidate will be responsible for designing, developing, optimizing, and maintaining scalable data engineering solutions on Azure.

You will work with modern Azure data technologies to build high-performance data pipelines, implement data governance, optimize Databricks workloads, and deliver reliable data platforms that support analytics and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain scalable and reliable data pipelines using Azure Databricks and Azure Data Factory (ADF).
• Develop data processing solutions using Python, PySpark, SQL, and Apache Spark.
• Build and maintain Delta Lake ta

📌 USEReady Technology (Bengaluru)
🏢 USEReady
📍 Bengaluru