Company
Name :

Job
Title :

GCP
Big Query Architect

Qualification
:

Any
graduation

Experience
:

10+
years

Must
Have Skills :

•Strong
hands -on and architectural expertise in BigQuery (schema design,
optimization, cost management).
•Proven experience
designing large -scale Telco data platforms.
•Expert in
GoogleSQL, Python, PySpark, and Airflow DAGs.
•Strong
understanding of data warehousing, ELT/ETL, dimensional modeling,
and analytics patterns.
•Experience with CI/CD, Git, and
Infrastructure -as -Code (Terraform preferred).
•Hands -on
with streaming and high -volume data ingestion (Pub/Sub,
Dataflow).
CGI is an equal opportunity employer. In addition,
CGI is committed to providing accommodation for people with
disabilities in accordance with provincial legislation. Please let
us know if you require reasonable accommodation due to a
disability during any aspect of the recruitment process and we
will work with you to address your needs.

Positive
to Have Skills :

Experience
with real -time streaming using Pub/Sub.

- Knowledge
of data governance, security, and encryption best practices in
GCP.

- Experience
with BI tools like Looker or Tableau integrated with BigQuery.

- Familiarity
with CI/CD pipelines and Infrastructure as Code (Terraform).

- GCP
certifications such as Professional Cloud Architect or
Professional Data Engineer

Roles




and Responsibilities :

•Design
and own BigQuery -based data warehouse and lakehouse architectures
for Telco use cases (Network, CDR, Billing, OSS/BSS, Customer
360).
•Define data modeling standards (dimensional, wide
tables, data products) optimized for Telco analytics
workloads.
•Establish partitioning, clustering,
cost -control, and performance optimization strategies in
BigQuery.
•Experience on on -prem and cloud data warehouses
like Oracle, Postgres, SQL Server, Teradata, Databricks, Snowflake
preferred
•Application and Data Migration experience
mandatory
•Architect and oversee end -to -end data pipelines
using BigQuery, Dataflow, Cloud Composer (Airflow), Dataproc, Data
Fusion, Pub/Sub, and Cloud Storage.
•Design batch and
streaming ingestion frameworks for high -volume Telco data (CDRs,
alarms, KPIs, logs).
•Guide implementation using GoogleSQL,
Python, PySpark, and Airflow DAGs.
•Experience on on -prem
and cloud data warehouses like Oracle, Postgres, SQL Server,
Teradata, Databricks, Snowflake preferred
•12 -15 years of
experience in Data Engineering / Data Architecture, with 3+ years
on GCP BigQuery.

Location
:

Bangalore

CTC
Range :

35
LPA

Notice
period :

Immediate
to 30 days

Shift
Timings :

General

Mode
of Interview :

Virtual

Mode
of Work :

Hybrid

Mode
of Hire :

Permanent

Note
: