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  • Azure Data Engineer(Senior) at Xohani Solutions • Bangalore Urban . . .
    • Develop batch and real-time data processing solutions using Azure services like Delta Live Tables, Event Hubs, Stream Analytics, and Azure Functions • Development experience as a data engineer with focus on core tools and technologies like ADF, Databricks, Key Vault, ADLS, SQL Server Any RDMS, Fabric, Azure Synapse
  • Azure Data Engineer MasterClass: DP-203 | DP-600 | DP-700
    In Azure Databricks, you work with Delta Lake and modern data warehousing concepts for scalable data engineering solutions You also learn Azure Stream Analytics, enabling you to design real-time streaming pipelines for telemetry, event data, and live analytics
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    We are #Hiring Position Name – Advanced Data Engineer Type of hiring – Fulltime Location – Remote Canada Job Description: We are looking to hire an experienced Advanced Data Engineer with
  • Guía Certificación DP-203: Azure Data Engineer 2026 | DataPath
    2 Diseño e implementación de procesamiento de datos (40-45%): Azure Data Factory pipelines, Azure Databricks con Spark y Delta Live Tables, Azure Stream Analytics para datos en tiempo real, Azure Synapse Spark pools 3
  • PHOENIX Pharmahandel GmbH Co KG hiring Data Architect in . . . - LinkedIn
    Databricks (PySpark, SQL, Delta Live Tables) Microsoft Fabric Pipelines Dataflows Gen2 Develop data models in: Databricks Lakehouse (Delta tables) Fabric Lakehouse Warehouse Set up and maintain CI CD processes using Azure DevOps, including: Git-based workflows YAML pipelines for Databricks, Fabric, and Azure services
  • DP-750T00: Implement data engineering solutions using Azure Databricks
    Construir Pipelines con DLT: Utilizar Delta Live Tables para simplificar el ETL y garantizar la calidad de los datos Automatizar Workflows: Orquestar tareas y procesos mediante Databricks Jobs Integración con Azure: Conectar Databricks con servicios como Azure Key Vault, Data Factory y SQL Database
  • RohanDubey45 Azure-Spotify-Data-Engineering-Project - GitHub
    The pipeline ingests Spotify-like data from Azure SQL Database, processes it using Azure Databricks (Spark + Delta Live Tables), and transforms it into analytics-ready data using the Medallion Architecture (Bronze → Silver → Gold)
  • Databricks Pipeline Slow? CDC and SCD Type 2 Explained
    Here’s the reality from building pipelines with Databricks, Apache Spark, and Delta Live Tables: ⸻ 🔌 APIs Pros: Real-time, flexible, rich external data Cons: Rate limits, schema drift
  • T T| Azure Data Engineer | Manager | Bengaluru Job Details | deloitte
    Develop batch and real-time data processing solutions using Azure services like Delta Live Tables, Event Hubs, Stream Analytics, and Azure Functions Development experience as a data engineer with focus on core tools and technologies like ADF, Databricks, Key Vault, ADLS, SQL Server Any RDMS, Fabric, Azure Synapse
  • Data Engineer-Data Platforms-Azure with 6 - 8 Years of . . . - foundit
    Strong coding skills in - Python, SQL, ADF, Databricks (PySpark, Delta live table, Live structural data streaming, Unity Catalog, Performance Tuning of DLT pipelines with high volume of data processing , Cost Optimization of Databricks when DLT runs in live streaming on Photon, Serverless, non serverless)Azure Functions, Logic Apps
  • Azure Engineer, SQL Data Lakehouse - LinkedIn
    You have supported reporting tools like Cognos and Power BI, implemented data models and warehousing solutions, and performed performance tuning and troubleshooting in Azure SQL environments Additionally, you are familiar with modern data tools such as PySpark, Azure Data Factory, Databricks, and Delta tables Lakehouse architecture
  • Data Engineer With Azure + Databricks - LinkedIn
    · Hands on knowledge on Databricks native features like Workflows, Delta Live Tables, Unity CatLog etc · Expertise in workspace and cluster configuration, performance tuning, cost optimization, data security, and log monitoring · Experience with Spark Structured Streaming jobs with Autoloader integrating with different streaming platforms
  • Azure Databricks Engineer (Bulgaria) - LinkedIn
    Troubleshoot and resolve technical issues related to Azure solutions Stay updated with the latest Azure trends, best practices, and emerging technologies, and propose innovative solutions to enhance our clients' capabilities Requirements: Experience in working with Databricks (Unity catalog, Delta Live Tables) and PySpark





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