Job Summary

- Minimum 1 year of experience in Data Engineering with strong knowledge of Google Cloud Platform (GCP) architecture and services.
- Hands-on experience in ETL/ELT development for batch and real-time data processing.
- Experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, and GCS.
- Experience with Google Cloud Monitoring and Cloud Logging.
- Strong proficiency in Python and SQL.
- Hands-on experience with dbt for data transformation and modelling.
- Experience with GKE, Kubernetes namespaces, and Docker container deployment.
- Experience with Git-based source control, code reviews, version management, and CI/CD pipelines.
- Experience with Terraform for Infrastructure as Code and Harness or similar deployment tools.
- Robust troubleshooting, debugging, and production-support skills.

Key Responsibilities

- Minimum 1 year of experience in Data Engineering with strong knowledge of Google Cloud Platform (GCP) architecture and services.




- Hands-on experience in ETL/ELT development for batch and real-time data processing.
- Experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, and GCS.
- Experience with Google Cloud Monitoring and Cloud Logging.
- Strong proficiency in Python and SQL.
- Hands-on experience with dbt for data transformation and modelling.
- Experience with GKE, Kubernetes namespaces, and Docker container deployment.
- Experience with Git-based source control, code reviews, version management, and CI/CD pipelines.
- Experience with Terraform for Infrastructure as Code and Harness or similar deployment tools.
- Strong troubleshooting, debugging, and production-support skills.

Skill Requirements

Must Have Skill

GCP BigQuery,GCP Data Engineering,Python

Good to Have Skill

Other Requirements

📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India