Interesting Job Opportunity: Big Data Engineer - Azure/Python
Data Science Analytics & Machine Learning
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Job Description
- You will be involved in the Azure Data platform implementation.
- Responsible for assessing feasibility of migrating customer solutions and/or integrating with 3rd party systems both Microsoft and non-Microsoft platforms
- Designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL
- Work with version control GitHub and CI/CD pipelines using Azure DevOps
- Total Years of Experience 5 years in IT industry
- 2 years current and deep experience with Azure Data platform implementation. Proven experience managing projects through the entire project lifecycle.
- Relevant years of experience 2 years in Azure Data Factory, Azure Data Lake, Azure DevOps, Azure DataBricks, AzureSQL
- Proficient in Azure Data Integration, Azure Data Architecture
- Proven experience using the Microsoft Azure Data Stack (ADFv2, Azure SQL DB, Azure SQL Datawarehouse, Azure Data Lake, Azure Databricks, Analysis Services, Cosmos DB)
- Experience in Azure data migration patterns
- Experience in Python, C# is mandatory
- Agile methodology experience essential
- 3 years experience assessing feasibility of migrating customer solutions and/or integrating with 3rd party systems both Microsoft and non-Microsoft platforms
- Hands on experience Designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL
Skills
AgileAgile MethodologyData ArchitectureData IntegrationData MigrationDesigningImplementationPythonSqlTransformationIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Software Engineering of America (SEA) helps navigate the ocean of information in data centers. The company provides a variety of data management software applications, primarily for IBM operating systems. The company's software performs a variety of tasks, such as application monitoring, network storage management, operations automation, security monitoring, and cross-platform job scheduling. The company also offers consulting, installation, integration, maintenance, support, and training services. SEA has installed its software in more than 10,000 data centers around the world. The company was established in 1982 by Salvatore Simeone, SEA's chairman, president, and CEO.
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