MonoSpear Technologies - Azure Data Engineer

Position : Azure Data Engineer (Hybrid USI Locations)

Location : Hybrid (Open for all USI locations)

Experience : 5+ Years

Job Type : Full-time

Start Date : Immediate

Job Overview

We are urgently looking to hire an experienced Azure Data Engineer for a critical project. The ideal candidate should have strong experience working with Azure technologies, data lakes, data warehousing, and ETL pipeline design. The candidate must be proficient in technologies such as Splunk, JFrog, TWS, and Azure SQL Database, and should have hands-on experience in designing and implementing data warehouses using Databricks. This is a hybrid role with flexibility to work from any USI Responsibilities :

• Design, build, and manage ETL pipelines to support data processing and integration tasks.
• Implement and manage Azure Data Lakes for scalable and secure storage solutions.
• Design and implement a Data Warehouse using Databricks, ensuring high performance and
  
  

scalability.

• Collaborate with cross-functional teams to ensure seamless integration and data flow between different systems.
• Leverage Azure SQL Database to build, manage, and maintain data storage solutions.
• Integrate and manage Splunk, JFrog, and TWS in data pipeline workflows.
• Optimize data processing workflows for performance and cost-efficiency in the Azure cloud environment.
• Troubleshoot and resolve issues related to data ingestion, processing, and Skills & Qualifications :
• 5+ years of experience working as a Data Engineer, with a focus on Azure technologies.
• Strong experience working with Azure Data Lakes, Azure SQL Database, and Databricks.
• Hands-on experience in designing and building ETL pipelines.
• Proficiency with technologies like Splunk, JFrog, and TWS.
• Experience with Data Warehousing architecture and best practices.
• In-depth knowledge of Azure Cloud Services, particularly in data engineering solutions.
• Strong problem-solving skills and the ability to work in fast-paced environments.
• Excellent communication skills and the ability to collaborate with diverse Skills :
• Experience with Azure Synapse Analytics and Azure Data Factory.
• Familiarity with Python or Scala for data processing.
• Knowledge of DevOps practices and automation for data engineering tasks.
  
  

(ref:hirist.tech)