Senior GCP Data engineer
12 hours ago
Job Title: Technical GCP Data
Engineer
Location:
Madurai/Chennai - Remote
Experience:
5+ Years
Notice Period:
Immediate
Job Summary
We are seeking a hands-on Technical GCP Data Engineer
with deep expertise in
real-time streaming data architectures
to help design, build, and optimize data pipelines in our Google Cloud Platform (GCP) environment. The ideal candidate will have strong architectural vision and be comfortable rolling up their sleeves to build
scalable, low-latency streaming data pipelines
using
Pub/Sub, Dataflow (Apache Beam)
, and
BigQuery
.
Key Responsibilities
- Architect and implement end-to-end
streaming data solutions
on GCP using
Pub/Sub
,
Dataflow
, and
BigQuery
. - Design real-time ingestion, enrichment, and transformation pipelines for high-volume event data.
- Work closely with stakeholders to understand data requirements and translate them into scalable designs.
- Optimize streaming pipeline performance, latency, and throughput.
- Build and manage orchestration workflows using
Cloud Composer (Airflow)
. - Drive schema design, partitioning, and clustering strategies in BigQuery for both real-time and batch datasets.
- Define SLAs, monitoring, logging, and alerting for streaming jobs using
Cloud Monitoring
,
Error Reporting
, and
Stackdriver
. - Experience with the data modeling.
- Ensure robust security, encryption, and access controls across all data layers.
- Collaborate with DevOps for CI/CD automation of data workflows using
Terraform
,
Cloud Build
, and
Git
. - Document streaming architecture, data lineage, and deployment runbooks.
Required Skills & Experience
- 5+ years of experience in data engineering or architecture.
- 3+ years of
hands-on GCP data engineering
experience. - Strong expertise in:
- Google Pub/Sub
- Dataflow (Apache Beam)
- BigQuery (including streaming inserts)
- Cloud Composer (Airflow)
- Cloud Storage (GCS)
- Solid understanding of
streaming design patterns
,
exactly-once delivery
, and
event-driven architecture
. - Deep knowledge of SQL and NoSQL data modeling.
- Hands-on experience with
monitoring and performance tuning
of streaming jobs. - Experience using
Terraform
or equivalent for infrastructure as code. - Familiarity with
CI/CD pipelines
for data workflows.
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