Description

You will build and manage scalable data infrastructure on Google Cloud Platform.

This role is remote.

Responsibilities

• Build and manage ETL pipelines using Google Cloud Dataflow and Apache Beam.
• Design and implement data storage solutions using BigQuery and Google Cloud Storage.
• Develop and optimize pipelines for large-scale data ingestion, transformation, and storage.
• Integrate Cloud Pub/Sub for real-time data streaming.
• Monitor data flow processes and troubleshoot issues using Google Cloud Operations Suite.

Required Skills

• 5+ years of experience in data engineering.
• Google Cloud Storage (GCS) for structured and unstructured data management.
• Google Cloud Dataflow and Apache Beam for batch and streaming ETL/ELT pipelines.
• BigQuery for data warehousing and storage solutions.
• Google Dataprep for data cleansing and transformation.
• IAM and Role-Based Access Control (RBAC) for GCP security.
• Google Cloud Operations Suite (Stackdriver) for monitoring and logging.
• Agile project management methodologies.

Preferred Skills

• Any Graduate degree in a relevant field.

Key Skills

Education

Any Graduate