Microsoft Data Migration Engineer
Accenture in the Philippines
Date: 2 weeks ago
City: Taguig
Contract type: Full time
Responsible to facilitate the seamless transition of data from legacy systems to modern platforms, particularly Microsoft Azure. You’ll play a crucial role in ensuring data accuracy, security, and efficiency during migration. Let’s dive into the specifics of this role:
Data Extraction and Transformation:
Extract data from legacy systems, ensuring completeness and accuracy
Transform and cleanse data as needed to meet the requirements of the target system
Scalable Data Pipelines:
Leverage ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes to build scalable data pipelines
Design and implement efficient data movement workflows
Automation and Orchestration:
Use DevOps tools and orchestration frameworks to automate data migration processes
Ensure reliable execution of data pipelines
Collaboration with Enterprise Architects:
Work closely with enterprise architects to analyze the current state of data systems
Contribute to defining the target state architecture for data migration
Qualifications:
Bachelor’s degree or equivalent work experience. Alternatively, an Associate degree with a minimum of 6 years of equivalent work experience
At least 3 years of hands-on experience building and operationalizing large-scale enterprise data solutions
Familiarity with third-party resources such as Pyspark, Talend, Matillion, Informatica, or native Azure utilities (e.g., Azure Functions, Azure SQL DB/DW, Data Factory, Azure Stream Analytics, Azure Analysis Service, Databricks, Azure Data Catalog, Cosmos DB, etc.)
Experience migrating data from legacy systems (e.g., Hadoop, Exadata, Oracle, Teradata, Netezza)
Implementation of DevOps practices on the Azure platform
Multi-cloud experience
Azure Certification: Active certification in Azure Fundamentals
Data Extraction and Transformation:
Extract data from legacy systems, ensuring completeness and accuracy
Transform and cleanse data as needed to meet the requirements of the target system
Scalable Data Pipelines:
Leverage ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes to build scalable data pipelines
Design and implement efficient data movement workflows
Automation and Orchestration:
Use DevOps tools and orchestration frameworks to automate data migration processes
Ensure reliable execution of data pipelines
Collaboration with Enterprise Architects:
Work closely with enterprise architects to analyze the current state of data systems
Contribute to defining the target state architecture for data migration
Qualifications:
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