Location: Pan India

Experience: 3–5 Years

About The Role

We are looking for a Google Cloud Data Engineer to design, develop, and maintain scalable cloud-based data platforms and ETL/ELT pipelines. The role requires robust hands-on expertise in GCP, BigQuery, Python, and SQL, along with experience in data engineering, cloud security, and production support.

Job Description

The role involves developing scalable batch and streaming data pipelines using Python, BigQuery, Cloud Storage, Dataflow, Cloud Functions, Cloud Composer/Airflow, and Dataform. You will build data ingestion frameworks, dimensional data models, and solutions optimized for BigQuery performance and cost.

You will also contribute to CI/CD, source control, testing, monitoring, data quality, security, IAM, governance, and metadata management. The position requires close collaboration with architects, analysts, and business stakeholders, along with troubleshooting and performance tuning of production data solutions.

Key Responsibilities

Design and implement scalable ETL/ELT data pipelines on GCP




Develop batch and streaming data ingestion frameworks
Build dimensional data models and optimize BigQuery performance and cost
Work with GCP services including Dataflow, Cloud Storage, Cloud Functions, Cloud Composer/Airflow, Dataform, Pub/Sub, and Cloud Scheduler
Implement CI/CD, source control, testing, monitoring, and data quality practices
Support cloud security, IAM, governance, and metadata management
Troubleshoot production issues and perform performance tuning
Collaborate with architects, analysts, and business stakeholders

Required Skills

Google Cloud Platform (GCP)
BigQuery
Python
SQL
Data engineering and ETL/ELT development
Cloud Storage and Dataflow
Cloud Functions and Cloud Composer/Airflow
Dataform, Cloud Pub/Sub, and Cloud Scheduler
Data warehousing and dimensional modeling
CI/CD and source control using Git/Bitbucket
Cloud security and IAM
Jira and Agile/Scrum methodologies
Testing, monit

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