Job
Description
Dear Candidates, Greetings from ADAPTON..!!! Role : Azure Data Engineer Working Timing : 01.00 PM to 10.00 PM (Hybrid) Working Days : 5 days of work Salary : As per your Current CTC Work Location : Guindy, Chennai Job Summary: We are seeking a skilled Azure Data Engineer to design, implement, and optimize data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure data services, data pipelines, and data integration while ensuring high availability, performance, and security. Key Responsibilities: Design and develop data pipelines using Azure Data Factory (ADF) and Azure Databricks. Implement data storage solutions using Azure Data Lake, Azure SQL Database, and Synapse Analytics. Optimize and manage ETL/ELT processes to ensure data integrity and performance. Build and maintain data models, ensuring scalability and efficiency. Work with Azure Stream Analytics for real-time data processing. Implement and manage Azure Blob Storage, Cosmos DB, and other Azure data services. Develop and maintain Azure SQL, Synapse Analytics, and Power BI dashboards as needed. Ensure data security, compliance, and governance (GDPR, HIPAA, etc.). Collaborate with data scientists, analysts, and business teams to provide data solutions. Monitor and troubleshoot Azure data services for performance and reliability. Required Skills & Qualifications: 3+ years of experience in Azure data engineering. Strong knowledge of Azure Data Factory, Azure Synapse, Azure Data Lake, and Databricks. Proficiency in SQL, Python, or Scala for data processing. Experience with ETL/ELT frameworks and data transformation techniques. Understanding of Azure DevOps, CI/CD, and Infrastructure as Code (Terraform, Bicep). Knowledge of big data technologies (Spark, Delta Lake, etc.). Experience with real-time and batch processing solutions. Strong problem-solving skills and ability to optimize query performance. Perks & Benefits: Competitive Salary | Flexible work environment (Hybrid options) | Career Growth -- Thanks and Regards, Prathipa V Senior HR prathipahr03@gmail.com Job Types: Full-time, Permanent Pay: Up to ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Work from home Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Yearly bonus Education: Bachelor's (Required) Experience: ADF: 3 years (Required) Data bricks: 3 years (Required) Data lake: 3 years (Required) Work Location: In person
