Enterprise Data Migration Specialist
6 days ago
Explore a rewarding opportunity as an Enterprise Data Migration Specialist at KPMG.
About the Role
We are seeking a highly skilled data engineer to join our Data Migration team. As a Senior Data Migration Engineer, you will play a crucial role in developing ETLs on Azure Synapse to facilitate the migration of data from customers' on-premise applications to new SaaS-based systems.
Your Responsibilities
- Work with functional experts to understand data migration requirements and translate them into data engineering and data analytics functionality.
- Design and implement data integrations, pipelines, and algorithms to extract and transform data from various sources into a format ready to load into target systems.
- Design and development of data profiling tools to analyze and understand the structure, quality, and integrity of data prior to migration.
- Implement reconciliation reports to verify and validate data accuracy post-migration, identifying discrepancies and ensuring consistency between source and target systems.
- Aid in scoping, estimation, and task planning for assigned projects.
- Perform testing of ETL processes and data profiling tools, debugging issues and refining operations based on feedback and requirements.
- Document the ETL processes, data profiling methods, and reconciliation procedures to maintain clear and accessible records for future reference and compliance.
- Keep up-to-date with the latest tools, technologies, and best practices in data engineering to continuously improve the quality and efficiency of work.
About You
- You are passionate about effective communication to share ideas, inspire, and create change.
- You enjoy being part of a collaborative and multidisciplinary team and building strong relationships both internally and externally.
Requirements
To be considered for this opportunity, your qualifications, skills & experience could include:
- Proven experience in ETL development with Azure Synapse or Azure Data Factory and Azure SQL Database.
- Strong skills in programming languages such as Python, and SQL.
- Strong understanding of data warehousing concepts and technologies.
- Comfortable in an Agile working environment and using Scrum project management.
- Strong analytical and problem-solving skills to troubleshoot issues during the migration process and optimize data workflows.
- High attention to detail to accurately implement ETL processes and generate precise reconciliation reports.
- Experience of building ETL solutions against COTS or SaaS-based applications, such as TechnologyOne, SAP, Oracle ERP or Microsoft Dynamics is desirable.
Compensation
The estimated annual salary for this role is $120,000 - $180,000, depending on location and experience.
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