GCP Data Engineer
4 days ago
About the Role
We are looking for a
Senior Data Engineer
with strong expertise in
Google Cloud Platform (GCP)
to design, build, and optimize scalable data pipelines. The ideal candidate has hands-on experience with modern data engineering tools, strong problem-solving skills, and a passion for cloud automation and DevOps practices.
Key Responsibilities
- Design, build, and maintain
data pipelines
using GCP services such as
BigQuery, Cloud Composer, Dataflow, Pub/Sub, Cloud Run, and Cloud Functions
. - Implement
data transformations and modeling
using
dbt
(Data Build Tool). - Manage
infrastructure as code (IaC)
with
Terraform
, ensuring scalable and reliable deployments. - Create and maintain
CI/CD pipelines
, manage version control with
GitHub
, and promote a
DevOps culture
. - Collaborate with Product Owners and stakeholders to define and deliver high-quality data products.
- Ensure non-functional requirements like
security, scalability, observability
, and
performance
are met. - Support existing data products and continuously improve system design and technical debt management.
- Participate in Agile ceremonies and cross-domain collaboration to promote data mesh principles.
Required Skills & Experience
Technical Must-Haves
- Proven hands-on experience with
GCP services
– BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Run, Cloud Functions. - Strong command of
SQL
and
Python
for data processing and automation. - Experience with
dbt (Data Build Tool)
for modeling and transformation. - Proficiency in
Terraform
for IaC deployments. - Exposure to
CI/CD
,
GitHub
, and
DevOps
practices.
Soft Skills
- Strong analytical and communication skills.
- Experience working in
Agile
teams. - Self-driven, proactive, and a team player.
Preferred Qualifications
- GCP Data Engineer Certification
(preferred but not mandatory). - Experience with
data mesh architectures
. - Strong understanding of
cloud security and compliance best practices
.
Why Join Us
- Work with a forward-thinking data-driven organization.
- Opportunity to innovate with modern cloud and analytics technologies.
- Collaborative, Agile, and inclusive work culture.
-
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