Job Description :

USEReady helps businesses to be self-reliant on data. Growing over 3000% since inception, USEReady achieved #113 rank in Inc 500 2015 and honoured top 100 companies in North America 2015 by Red Herring. USEReady is built on strong entrepreneurial spirit with unprecedented opportunities for career growth. At USEReady, we believe in achieving career growth while improving our individual competencies. If you desire to be part of a team that believes in mutual success and inspiration, you are welcome to apply.

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.

Job Description :

We are looking for a Senior Azure Data Engineer with solid expertise in Databricks and Azure data services. The role involves designing, building, and optimizing scalable, secure, and high-performance data platforms, leveraging modern Lakehouse architecture and real-time data processing capabilities.

Key Skills :





• Strong hands-on experience with Databricks, including Notebooks (Python, SQL), SQL Editor, Unity Catalog, Delta Lake, Databricks Notification Alerts, Genie Spaces, and performance optimization.
• Expertise in Azure Data Factory (ADF) for ETL/ELT orchestration.
• Advanced Python, PySpark, and SQL skills with strong understanding of Spark performance tuning.
• Experience with Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure SQL Database, and Azure Event Hub.
• Experience with real-time data ingestion using Structured Streaming, Kafka, Event Hubs, and Auto Loader.
• Hands-on experience with Spark Declarative Pipelines (SDP), Delta Live Tables (DLT), and Medallion Architecture.
• Strong understanding of data modeling, data warehousing, governance, lineage, and access control.
• Experience with GitHub, GitHub Actions, Azure DevOps, and CI/CD practices.
• Familia

📌 USEReady Technology (Kolkata)
🏢 USEReady
📍 Kolkata