Data Engineer
18 hours ago
Job Summary
KDCI Outsourcing is seeking a
Data Engineer – Integrations & Automation
to design, implement, and maintain data pipelines connecting multiple systems — including ERP, HubSpot CRM, and operational platforms — into a Snowflake-based data environment.
This hands-on role is ideal for someone who enjoys solving data challenges, automating workflows, and building reliable integrations that power business insights and efficiency. You'll work closely with cross-functional teams to ensure seamless data flow, consistent documentation, and scalable data processes across the organization.
Key Responsibilities
- Implement and maintain data pipelines and integrations into Snowflake, following established architecture and data standards.
- Build and automate data workflows using tools such as Azure Data Factory, Power Automate, Python, or N8N.
- Integrate data from ERP, HubSpot, logistics, and other business systems to support analytics and reporting.
- Monitor, troubleshoot, and enhance data quality, synchronization, and performance across systems.
- Collaborate with internal teams to ensure data consistency, transparency, and documentation accuracy.
- Support dashboarding, analytics, and automation initiatives that improve operational efficiency.
- Identify opportunities for small automation or low-code process improvements across departments.
Job Requirements
- 5–7 years of experience in
data engineering, systems integration, or process automation
. - Strong command of
SQL
and hands-on experience with
ETL / data pipeline tools
(e.g., Azure Data Factory, dbt, Fivetran, Airbyte). - Skilled in
Python
for data transformation and automation tasks. - Familiarity with
cloud environments
, preferably
Microsoft Azure
. - Experience integrating
ERP or CRM systems
such as HubSpot, NetSuite, or Dynamics. - Understanding of
data modeling
,
version control (GitHub)
, and
API integrations
. - Excellent communication, documentation, and collaboration skills.
- Bachelor's degree in a technical field; Master's degree preferred (Data Engineering, Computer Science, Data Science, or related).
Nice to Have
- Experience with
Snowflake
or modern data warehouses. - Familiarity with
Power BI, Power Apps
, or other automation tools. - Knowledge of
CI/CD
,
dbt
, or
data-as-code
best practices. - Exposure to
data governance
and
documentation frameworks
.
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