Description

You will design, engineer, and operationalize modern data warehouses, data lakes, and analytics platforms on GCP.

Responsibilities

• Engineer data storage, transformation, event processing, and API solutions.
• Implement data modeling techniques and principles across platforms.
• Manage data governance, quality, privacy, security, and IAM protocols.
• Apply DevOps and FinOps practices to data infrastructure.
• Articulate and present technical solutions to diverse audiences.

Required Skills

• 3+ years of experience in data engineering.
• Hands-on experience with BigQuery, Google Dataflow, and Google Pub/Sub.
• Proficiency with Google Cloud SQL, Google Compute Engine, and Bigtable.
• Strong understanding of GCP data ecosystems.
• Experience in the banking or financial services domain.
• Knowledge of data security and identity access management (IAM).
• Any Graduate degree or Bachelor in Technology.

Preferred Skills

• Google Cloud Data Engineer or Professional Cloud Architect Certification.
• Knowledge of ML/AI and BI analytics solutions.

Key Skills

Education

Any Graduate