GCP Data engineer
5 hours ago
Job Summary:
We are seeking a skilled
GCP Data Engineer / Developer
to design, build, and optimize scalable data pipelines and applications on
Google Cloud Platform (GCP)
. The ideal candidate will have hands-on experience with
BigQuery, PySpark, and Airflow DAGs
, with added advantage if they possess
Java
and
ReactJS
development experience for end-to-end data and application development.
Key Responsibilities:
- Design, develop, and maintain
data ingestion and transformation pipelines
on
GCP
using
BigQuery, PySpark
, and
Airflow DAGs
. - Implement
data processing and analytics
workflows aligned with performance, scalability, and reliability standards. - Collaborate with cross-functional teams (data architects, analysts, and application developers) to deliver integrated solutions.
- Optimize
BigQuery SQL scripts
for efficiency and cost management. - Develop reusable data processing components and automation frameworks.
- (Optional) Contribute to
frontend and backend development
using
ReactJS
and
Java
when required. - Troubleshoot and resolve data or application-related issues proactively.
- Follow Agile methodologies, participate in sprint planning, and deliver high-quality code.
Required Skills & Experience:
- 5+ years of experience in
GCP-based data engineering
. - Strong expertise in
BigQuery
,
PySpark
, and
Airflow (DAG development)
. - Proficiency in
SQL
and data modeling concepts. - Experience with
CI/CD pipelines
, Git, and version control. - Good understanding of
data integration, ETL, and orchestration frameworks
. - Excellent problem-solving and debugging skills.
- Strong communication and collaboration abilities.
-
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