GCP Data Engineer

Job Description:

Key Responsibilities

Design build and optimize scalable ETL/ELT data pipelines across GCP.
Develop modular objectoriented Python applications for data ingestion orchestration and transformation.
Architect deploy and maintain data solutions leveraging GCP services: BigQuery GCS Cloud Functions Cloud Run Cloud Composer Pub/Sub Eventarc and DataForm.
Integrate with external APIs to ingest datasets into BigQuery and other storage layers.
Implement event-driven and real-time data processing architectures.
Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build.
Ensure optimal performance scalability and cost efficiency of pipelines and data infrastructure.
Establish and enforce data quality governance lineage and security standards.
Work closely with cross-functional teams to convert business needs into scalable data solutions.
Maintain detailed technical documentation and contribute to engineering best practices.

Education Qualification

Bachelors or Master Degree or equivalent Degree

Certification If Any

1. GCP Professional Data Engineer Certification.
2. Snowflake Associate / Core

Shift timing

12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone

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