Immediate Joiners / Short Notice Preferred Interview Mode:
As per client requirement Experience:
5–8 Years Relevant Experience:
Minimum 5 Years in Data Engineering with mandatory
DBT
experience Mandatory Skills:
Data Engineering + GCP + DBT + SQL + ETL/ELT + Terraform + CI/CD + Data Modelling REQUIREMENT FOR SENIOR DATA ENGINEER – GCP: Key Responsibilities: Design, develop, and maintain robust, scalable, and high-performance
data pipelines . Build and manage cloud infrastructure using
Terraform
and DevOps best practices. Develop scalable
ETL/ELT data solutions
using modern data engineering technologies. Design secure, observable, and scalable
data products
aligned with business requirements. Work extensively with
GCP cloud services
and cloud-native data architectures. Develop and maintain data transformation workflows using
DBT .
Implement and manage
CI/CD pipelines
for data engineering and infrastructure deployments. Apply strong
SQL and data modelling
practices to build efficient data solutions. Work with large-scale data processing frameworks such as
Spark, Beam, or Hive . Enable data sharing and integration across multiple domains in a
Data Mesh
environment. Collaborate with product managers and cross-functional teams to deliver data solutions. Drive continuous improvement, performance optimization, monitoring, and technical excellence. Implement Infrastructure as Code using
Terraform
and follow DevOps practices. Support data governance, cataloging, data quality, and
data observability
initiatives.
Who Can Apply? ✔️ 5–8 years of experience in
Data Engineering . ✔️ Mandatory hands-on experience with
DBT . ✔️ Solid experience in
GCP services and cloud-native architectures . ✔️ Strong experience in