Google Cloud Platform Data Engineer

Role Description

#Google Cloud Platform #Data #Engineer Google Cloud Platform Migration Project

Experience : 15  

Job Description/Role Notes

Design and implement scalable data pipelines on #Google Cloud Platform using tools like #Dataflow, #Pub/#Sub, #BigQuery, and #Cloud #Storage.

Migrate existing #AWS data solutions (e.g., #S3, #Redshift, #RDS, Glue) to Google Cloud Platform equivalents.

Develop #ETL/ELT #workflows to transform and load data into Google Cloud Platform data #warehouses and lakes.

Collaborate with data architects, cloud engineers, and application teams to ensure smooth migration and integration.

Optimize data processing for performance, reliability, and cost-efficiency.

Ensure data quality, integrity, and security throughout the migration process.

Automate data workflows using Infrastructure as Code (e.g., #Terraform) and #CI/CD pipelines.

Document migration processes, data models, and operational procedures.

Required Qualifications:

3 years of experience in data engineering or cloud data development.

Hands-on experience with both #AWS and #Google Cloud Platform data services.

Proficiency in #SQL, #Python, and data transformation techniques.

Experience with #Google Cloud Platform tools such as #BigQuery, #Datta #flow, Cloud Storage, and Pub/Sub.

Familiarity with AWS services like S3, Redshift, RDS, and Glue.

Experience with data migration tools (e.g., AWS DMS, Google DMS).

Strong understanding of data governance, security, and compliance.