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Data Migration Manager
The successful candidate will leverage their expertise in data analysis, REST APIs, and integrations by managing all aspects of data discovery and data migration to support multiple client projects. This role involves working closely with cross-functional teams and customer stakeholders to scope and manage data requirements for PRISM implementation projects. This role will be responsible for configuring and executing Python scripts to transform extracted source data to destination requirements using packages like Pandas. This role will require use of API tools like Postman to retrieve and analyze data. Work hours must overlap with US EST as needed to accommodate client projects.
Key Responsibilities:
Lead data discovery with implementation customers to gather requirements and scope data portion of projects, to include maintaining a data dictionary.Configure and execute both native PRISM data import tools and custom Python scripts for data migrations.Collaborate with internal and external key stakeholders to deliver data-driven solutions.Create and maintain documentation related to data migrations, including data discrepancy reports.Stay current with new technologies, approaches, and best practices in data analytics.Required Qualifications:
Bachelor’s degree in Business, Computer Science, Data Science, Information Systems, or a related field.Proven experience in data discovery and data mapping (3+ years preferred).Experience working in SaaS product implementation projectsAbility to read and format JSON.Strong knowledge of RESTful APIs and associated web calls.Ability to manage and prioritize workload of multiple projectsExcellent problem-solving skills and attention to detail.Understanding of data modeling, ETL processes, and data integration techniques.Strong customer-facing communication skills and ability to work collaboratively in a team environment.Passionate about the customer experience.Effective written and verbal communication skillsAbility to work independently and as part of a team in a fast-paced environmentPreferred Qualifications:
Proficiency in Python-related libraries (e.g., NumPy, Scikit-learn) beyond Pandas.Experience with cloud-based data platforms and services.Knowledge of data visualization tools and techniques.Familiarity with Agile methodologies.Relevant certifications in data analysis or Python programming.Experience with version control systems (e.g., Git).This role offers an exciting opportunity to work with cutting-edge data integration technologies and contribute to the success of diverse client projects. The ideal candidate will be passionate about data, client first focus, comfortable with Python programming, and eager to tackle complex data challenges in a dynamic environment. You will play a key role in ensuring smooth data transitions for our clients while maintaining high standards of accuracy and customer satisfaction.
Location:
Remote –New Delhi, DLScheduled Weekly Hours:
40If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!
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