Azure Data EngineerArchitect with DevOPs
Azure Data EngineerArchitect with DevOPs
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Job Description
Max Vendor Pay Rate: $100
Onsite
Job summary :
Ideal candidate will have expertise in various Azure technologies SQL and DevOps.
This role involves managing geospatial data projects and ensuring efficient data processing and storage.
The work model is hybrid with day shifts and no travel required.
Required Skills :
AgileAzure Event HubAzure Data FactoryAzure Data LakeAzure DevOpsAzure DatabricksMicrosoft AzureSQLDevOpsAzure Blob Storage
Responsibilities :
Description Work closely with source data application teams and product owners to design implement and support analytics solutions that provide insights to make better decisions Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage Azure Data Factory Azure Functions Event Hub Azure Stream Analytics Azure Databricks etc.)
Perform multiple aspects involved in the development lifecycle design cloud engineering (Infrastructure network security and administration) ingestion preparation data modeling testing CICD pipelines performance tuning deployments consumption BI alerting prod support
Collaborate within a team environment as well as work independently
Be a part of a DevOps team that completely owns and supports their product Implement batch and streaming data pipelines using cloud technologies Understands and follows development of coding standards best practices and privacy and security guidelines
Minimum Qualifications
- 3 years software solution development using agile DevOps operating in a product model that includes designing developing and implementing largescale applications or data engineering solutions
- 3 years data analytics experience using SQL
- 2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub Azure Data Factory Azure Databricks Azure DevOps Azure Blob Storage Azure Data Lake Azure Power Apps and Power BI Combination of Development Administration & Support experience in several of the following tools/platforms required:
Scripting Python Spark Unix SQL Data Platforms Teradata SQL Server ADLS Snowflake Azure Cloud Technologies Azure Data Factory Azure Databricks Azure Blob Storage Azure Data Lake Azure Power Apps and Azure Functions CI/CD GitHub Jenkins Azure DevOps Terraform
Preferred Qualifications Education & Prior Job Experience
- 3 years software solution development using agile dev ops product model that includes designing developing and implementing largescale applications or data engineering solutions 3 years data analytics experience using SQL
- 3 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub Azure Data Factory Azure Functions ADX ASA Azure Databricks Azure DevOps Azure Blob Storage Azure Data Lake Azure Power Apps and Power BI Airline Industry
- Experience Skills Licenses & Certifications Expertise with the Azure Technology stack for data management data ingestion capture processing curation and creating consumption layers Expertise in providing practical direction within the Azure Native cloud services Azure Development Track Certification (preferred)
- Spark Certification (preferred)
Employment Type
Full Time
