Python Developer
5 days ago
About the Role
We are looking for a skilled
Data Migration Specialist
to join our
Implementations team
as we invest in data migration capabilities for one of our SaaS
product
. This role is critical to ensuring successful onboarding and data transitions for new clients, with a strong focus on building scalable, repeatable data workflows using
Python and Excel
.
You'll work closely with cross-functional teams to extract, transform, and load data from multiple sources, ensuring accuracy and alignment with product requirements — all while communicating clearly with both technical and non-technical stakeholders.
Key Responsibilities
- Design and implement
repeatable data mappings
using
Python
to support client data onboarding. - Extract, transform, and load data from multiple input sources into defined templates for the Elements product.
- Use
pandas
and
numpy
for data manipulation, validation, and transformation tasks. - Write clear, well-annotated code that supports collaboration and ease of maintenance across the team.
- Contribute to and improve a
shared Python library
for reusable functions and processes. - Generate clear and actionable
Excel reports
highlighting inconsistencies and data issues. - Communicate complex data challenges in a way that is understandable to non-technical audiences (e.g., client stakeholders, product managers).
- Leverage strong
Excel skills
, including formula writing and data analysis features. - Interpret product documentation and data requirements to ensure accurate and complete data migrations.
Required Skills & Qualifications
- Proficiency in
Python
with strong experience using
pandas
and
numpy
. - Advanced
Microsoft Excel
skills, especially with complex formulas and data manipulation. - Demonstrated experience with
data transformation and migration
across diverse data sources. - Strong understanding of ETL processes and data quality assurance.
- Ability to write clear, maintainable, and well-documented code for team collaboration.
- Excellent communication skills — both written and verbal — with the ability to explain data issues to non-technical stakeholders.
- Comfort working with structured data templates and requirement documentation.
Preferred Qualifications
- Prior experience in
client implementations
,
data onboarding
, or
product configuration
. - Familiarity with shared Python codebases and collaborative development workflows.
- Background in SaaS, enterprise software, or business data systems.
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