GCP-DBT Engineer
1 week ago
Job Description
We are seeking a highly skilled
Data Engineer
with hands-on expertise in
GCP services, DBT, SQL, Python, and GitLab
. The ideal candidate will have strong experience in designing, building, and maintaining scalable data pipelines and data warehouse solutions while ensuring best practices in version control and collaboration.
Key Responsibilities
- Design, develop, and optimize
data pipelines and ETL workflows
using
GCP services
(BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.). - Build and maintain
transformations in DBT
with proficiency in
SQL
and
Python
. - Implement
data models
to support analytics, reporting, and machine learning use cases. - Ensure
data quality, performance, and reliability
across platforms. - Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data solutions.
- Use
GitLab
for version control, CI/CD, and collaborative development workflows. - Monitor, troubleshoot, and optimize data infrastructure for performance and cost efficiency.
- Follow best practices for
data governance, security, and compliance
.
Required Skills & Qualifications
- 5–7 years of experience
as a Data Engineer or in a similar role. - Strong expertise in
Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub, etc.)
. - Hands-on experience with
DBT (SQL & Python)
for data transformations. - Strong proficiency in
SQL
(complex queries, performance tuning) and
Python
for scripting. - Experience with
GitLab
(version control, CI/CD pipelines). - Solid understanding of
data warehousing concepts, ETL design, and data modeling
. - Strong problem-solving, analytical, and communication skills.
- Experience working in
Agile/Scrum environments
is a plus.
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