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QURLSenior Data Engineer ; GCP-F2F

Job in 560001, Bangalore, Karnataka, India
Listing for: ZettaMine Labs Pvt. Ltd.
Full Time position
Listed on 2026-08-31
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Job Description & How to Apply Below
Position: [88QURL44] Senior Data Engineer 1(GCP)-F2F Interview
Hello,
Greetings from Zetta Mine Labs Pvt Ltd!!

We are looking for   Senior Data Engineer – GCP   with multiple project opportunities.

Job Role:

Senior Data Engineer – GCP

Location:

Bangalore (Hybrid)
Notice Period:
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 Dev Ops 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 Dev Ops 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 Dev Ops 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.
✔️ Strong 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 & Dev Ops

Experience:

Spark / Beam / Hive

Experience:

Thanks and Regards
TAG-Team
Position Requirements
10+ Years work experience
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