
Senior GCP Data Engineer
1 day ago
Position: Senior GCP Data Engineer
Location:
Bangalore
Experience Level:
6–8 years
Employment Type:
Full-time
Role Overview
We are seeking a highly skilled
Senior GCP Data Engineer
with proven expertise in designing and managing large-scale data solutions on
Google Cloud Platform (GCP)
. The ideal candidate will have hands-on experience with
BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage
, along with strong proficiency in
ETL/ELT, data governance, and security practices
.
This is an
onsite role in Bangalore
, requiring close collaboration with client teams to deliver enterprise-grade data engineering solutions.
Key Responsibilities
- Design, develop, and maintain
data pipelines
using GCP services such as
Cloud Dataflow, BigQuery, and Cloud Storage
. - Build scalable
real-time and batch data pipelines
using
Apache Beam
and
event-driven architecture (Pub/Sub)
. - Implement and manage
secure and efficient data storage solutions
, handling both structured and unstructured data. - Automate and orchestrate ETL workflows using
Cloud Composer (Apache Airflow)
. - Perform
data integration
from multiple sources into data lakes and warehouses. - Transform raw data into actionable insights through
data cleansing, aggregation, and enrichment
. - Optimize
data workflows
for scalability, performance, and cost-effectiveness. - Ensure compliance with
data governance, IAM, encryption, and regulatory standards
(GDPR, HIPAA, etc.). - Monitor and troubleshoot data pipelines using
Stackdriver (Cloud Monitoring & Logging)
. - Collaborate with
data scientists, analysts, and business stakeholders
to align solutions with business needs. - Stay updated with the latest
GCP features, best practices, and industry trends
.
Required Skills & Qualifications
- 6–8 years
of IT/data engineering experience with strong focus on
GCP data services
. - BigQuery Mastery
– designing, optimizing, and managing large-scale analytical queries and data models. - Proven expertise in
Cloud Dataflow
and
Pub/Sub
for real-time and batch pipelines. - Strong hands-on experience with
Cloud Storage
and
workflow orchestration
(Cloud Composer / Airflow). - Proficiency in
SQL, Python, and Apache Beam
. - Deep understanding of
ETL/ELT processes, data warehousing, and data modeling
. - Knowledge of
data governance, IAM, encryption, audit logging, and compliance frameworks
. - Excellent
problem-solving and collaboration skills
. - Mandatory:
Willingness to work
onsite at client office in Bangalore
.
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