We are seeking an
early-career Data Engineer
to join our team. This position is designed for someone with
1–2 years of professional experience
who is eager to grow their technical skills while contributing immediately to real-world projects.
In this role, you will:
Work hands-on with our team to transform and connect data from multiple systems.
Build
end-user applications and workflows
that make data accessible, reliable, and actionable for business teams.
Apply Python to clean, structure, and automate data processes that support smarter project delivery.
This is a foundational position with mentorship and room to grow into advanced responsibilities, including application development, systems integration, and analytics.
Core Responsibilities
Develop and maintain
Python scripts
to transform and manipulate datasets from multiple sources.
Clean, normalize, and structure
raw data for reporting, analysis, and application use.
Work with APIs and diverse data formats (JSON, CSV, XML) to integrate systems and workflows.
Collaborate with team members to design and deliver
applications
that enable non-technical users to interact with data.
Support
data integration and automation projects
by creating repeatable, reliable processes.
Document workflows, code, and applications to ensure clarity, reproducibility, and team-wide knowledge sharing.
Required Skills \& Qualifications
1–2 years of professional experience coding in
Python
.
Experience with
data transformation and cleaning
using libraries like
PySpark,
pandas
or
NumPy
.
Understanding of
common data formats
(JSON, CSV, XML).
Familiarity with working with
APIs
for programmatic data exchange.
Strong debugging, troubleshooting, and problem-solving skills.
Detail-oriented, curious, and eager to learn new systems and tools.