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- Tasks: Lead data migration for SAP Success Factors, ensuring compliance and successful data transformation.
- Company: Join a dynamic team focused on innovative data solutions in a collaborative environment.
- Benefits: Competitive pay, flexible remote work options, and potential for contract extensions.
- Why this job: Make a real impact on data governance while working with cutting-edge technologies like Exasol and Databricks.
- Qualifications: Experience with data migration, SQL coding, and tools like Exasol and Databricks required.
- Other info: Onsite presence in Warrington needed three days a week; great opportunity for growth.
Our client requires a Data Migration Lead to be responsible for the Data Migration to support the SAP Success Factors Project. You will work closely with the business and project delivery groups to understand their needs and translate requirements into actions, ensuring compliance with the data governance standards and strategy. You will also be responsible for the Data Migration strategy and supporting testing elements to prove the overall success of the data migration. Additionally, you will be responsible for the extract and transformation of data to populate the target SAP data model.
Key Responsibilities:
- Define the Data Migration Strategy in line with the organisation's overall Migration Strategy.
- Support the creation of the Conceptual, Logical and Physical data models and ensure that there is a defined change control process in place so any changes in requirements/data models can be impact assessed.
- Responsible for the development of code and processes to create the target data structures in Exasol/Databricks working with the Data Services Team.
- Responsible for the Transformation of Source data to the Target model, working with the source to target mapping documents supplied by the Delivery Partner.
- Responsible for the Audit and Reconciliation of the Extract and Transform phases, to validate that all created/migrated data is fit for purpose and meets the system requirements.
- Responsible for the anonymization of data for any target environment below Pre Production to ensure no personal and sensitive data is recognisable.
- Responsible for all data migration cycles including Mock (technical migration), Dress Rehearsal (volume migrations), Cut Over Simulation (to practice final cut over migration) and Cut Over (final live cut over to new system).
- Work with Functional SMEs to resolve data issues and agree on the data standards and population of the data model.
- Work with Functional SMEs to get sign off on production data load to ensure the production data is fit for purpose and meets the system requirements.
Key Experience:
- Previous use of tools such as Exasol and Databricks.
- Experience in previous data migration projects and track record of successful delivery.
- Able to develop SQL code to analyse, transform and structure data.
- Good planning and coordination skills; project management experience would be preferable.
In the first instance please submit your CV.
Contact Detail:
Reed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Migration Lead
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Exasol and Databricks. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals who have experience in data migration projects, especially those involving SAP Success Factors. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your previous data migration experiences in detail. Be ready to explain how you defined strategies, managed data models, and ensured compliance with data governance standards in past projects.
✨Tip Number 4
Showcase your project management skills by discussing any relevant methodologies you've used. Highlighting your ability to plan and coordinate effectively will demonstrate that you're well-suited for this role.
We think you need these skills to ace Data Migration Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data migration, particularly with tools like Exasol and Databricks. Emphasise any previous projects where you successfully delivered data migration strategies.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the key responsibilities mentioned in the job description. Explain how your skills align with their needs, especially in defining data migration strategies and working with data models.
Showcase Technical Skills: In your application, clearly outline your technical skills, particularly your ability to develop SQL code and your experience with data transformation processes. This will demonstrate your capability to handle the technical aspects of the role.
Highlight Project Management Experience: If you have project management experience, make sure to include it in your application. Discuss any planning and coordination skills you've developed, as these are important for managing data migration cycles effectively.
How to prepare for a job interview at Reed
✨Understand the Data Migration Landscape
Familiarise yourself with the specific tools mentioned in the job description, such as Exasol and Databricks. Be prepared to discuss your previous experiences with these tools and how they relate to data migration projects.
✨Showcase Your SQL Skills
Since developing SQL code is a key requirement, be ready to demonstrate your SQL knowledge. You might be asked to solve a problem or explain how you would approach data analysis and transformation using SQL.
✨Discuss Your Project Management Experience
Highlight any project management experience you have, especially in relation to data migration. Discuss how you've planned and coordinated previous projects, and be prepared to share examples of successful delivery.
✨Prepare for Technical Questions
Expect technical questions related to data governance standards, data models, and the migration process. Brush up on your understanding of conceptual, logical, and physical data models, and be ready to explain how you would handle changes in requirements.
