Job description
Role Descriptions: Veeva Vault Data Migration Experience
Hands-on End to End Veeva Data Migration experience on large data set (500K records).Experience of using Vault Loader| Custom Migration Tool etc.
Experience in data migration using Veeva API Expertise on Veeva Object Record Migration and Veeva Document Migration
Expert knowledge of Veeva data model| including documents| records| and metadata.
Experience on data map and transformation exercise from existing data sources to Veeva Vault structure.
Experience in strategizing Data Migration| Data Verification etc. from source to Veeva system.
Proven ability to develop Cutover and Rollback strategy for Data Migration
Commanding data analysis capability.
Strong troubleshooting skills for resolving data migration issues and discrepancies.
In-depth understanding knowledge of ETL (Extract| Transform| Load) processes and tools for effective data migration.
Strong experience with Veeva Vault configuration and implementation.
Must have clear understanding of Veeva Vault Architecture Security model
Must have technical hands-on experience to lead the Data Migration as Technical Lead
Preferred Skills
First-hand experience of working with Veeva Vault Quality
Experience with Quality Management processes in Life Sciences
CPG industry
Experience with Java or Pyton to develop custom scripts for data migration activities
Roles Responsibilities
Lead the end-to-end data migration Develop Data Migration Strategy
Develop Cutover strategy
Finalize source to target mapping and transformation
Lead code development and scripting as necessary to facilitate data migration.
Create and manage Progress trackers for all data migration related activities and stages. Develop and document a standard data migration approach working with the architecture and project program management team
Coordinate and facilitate development and validation efforts for data transformation| and loading| ensuring successful data migration.
Creation of technical documentation as per customer SDLC process and following up on reviews and approvals for the same.
Generic Managerial Skills| If any Strong verbal and written communication skills with the ability to liaise with a variety of stakeholders
Must be self-motivated and proactive
Need to show constant dynamism and able to manage pressure.
Attention to detail
The ability to work in a team and individually
Organizational skills with the capability of working towards tight deadlines
Able to work with demanding customer
Essential Skills: Veeva Data Migration Technical Lead
Desirable Skills:
Keyword:
Skills: Veeva Vault Platform
Experience Required: 10 & Above
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Software Engineer?
A: To succeed as a Data Software Engineer, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in data structures, algorithms, and software development methodologies like Agile. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Software Engineers often work with cross-functional teams and stakeholders to design, develop, and deploy data-driven solutions. By combining technical expertise with strong soft skills, Data Software Engineers can effectively drive business outcomes, innovate, and adapt to the rapidly evolving landscape of data technology.
Q: What is the career path for a Data Software Engineer?
A: A Data Software Engineer's typical career progression involves starting as a Junior Software Engineer, where they focus on developing and maintaining data-driven software applications, and gradually advancing to roles such as Senior Software Engineer, Technical Lead, or Data Architect, where they oversee large-scale data systems and lead cross-functional teams. Key opportunities for skill development include learning programming languages like Python, SQL, and Java, as well as data science tools like Hadoop, Spark, and machine learning frameworks like TensorFlow and PyTorch. Long-term, Data Software Engineers may pursue leadership roles, such as Director of Engineering or Chief Technology Officer, or transition into related fields like data science, product management, or entrepreneurship.
