
Azure Data Engineer
Company: GSPANN | Date Posted: 09-Nov-2022 | Qualification: Engineering Grad
Position: | Azure Data Engineers | Skills Required: | Azure Data Engineer, AZURE Data Bricks, ADF, Azure Logic Apps, Azure IOT, Azure DevOps | Employment Type: | Full Time |
Location: | Pune | Job Mode: | Work from Home | Experience: | 0 - 5 (years) |
Introduction:
Our client GSPANN is looking for AZURE Data Engineers with AZURE IoT Experience.
Skills Competencies:
Should have experience in ADLS (Azure Data Lake storage) Experience implementing Azure Data Factory Pipelines using latest technologies and techniques Experience in working on Azure HDInsight Experience in working with Storage Strategy Azure developer should be able to ensure effective Design, Development, Validation and Support activities in line with client needs and architectural requirements Expert in Azure Data Factory, Azure Data Lake Azure SQL Data Warehouse, Azure Functions, Databricks Comfortable working with Spark, Python, and PowerShell Excellent problem solving, Critical and Analytical thinking skills Strong t-SQL skills with experience in Azure SQL DW DevOps, CI/CD, and Automation experience strongly preferred Able to interact with team members collaboratively Experience handling Structured and unstructured datasets Experience in Data Modelling and Advanced SQL techniques Willingness to learn new technologies Excellent oral & written communication / articulating skills Preferably, candidates should have DP203 Certification.
Responsibilities:
Software prototyping and construction – design, build, and modify existing business-tier components and database objects using Microsoft Azure Platform (Azure Data Factory, Azure Data Lake Azure SQL Data Warehouse, Azure Functions, Databricks) Conduct unit and system-integration testing; fix issues Implement complex, highly scalable, and high-volume data pipelines. Analyze source, target system data, and map the transformation that meets the requirement. Interact with the client and onsite coordinators during different phases of a project. Guide and train the existing IA talents in Azure technologies.
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