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 robust
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 . ✔️ Strong experience in
GCP services and cloud-native architectures . ✔️ Strong experience in
ETL/ELT development and data pipelines . ✔️ Strong hands-on experience with
SQL and data modelling . ✔️ Experience with
Terraform / Infrastructure as Code . ✔️ Experience with
CI/CD pipelines and DevOps practices . ✔️ Knowledge of large-scale data processing frameworks such as
Spark, Beam, or Hive . ✔️ Experience with modern data architecture and
Data Mesh
concepts. ✔️ Good understanding of secure, scalable, and observable data products. ✔️ Solid troubleshooting, performance optimization, and problem-solving skills. ✔️ Good collaboration and communication skills. Nice to Have: Experience with
Cloud Run . Experience with
Apache Iceberg / Hudi . Knowledge of
Avro and Parquet
file formats. Understanding of
data governance, data cataloging, and data observability . Exposure to
analytics and data visualization tools . Please share the following details along with your updated resume:
- Full Name: Contact Number: Current Location: Total Experience: Relevant Experience in Data Engineering: DBT Experience: GCP Experience: SQL & Data Modelling Experience: Terraform Experience: CI/CD & DevOps Experience: Spark / Beam / Hive Experience: Thanks and Regards TAG-Team