Description

You will design and architect data ecosystems focusing on BigQuery and Google Cloud technologies.

Responsibilities

• Design and implement data architecture for Data Lakes and Data Warehouses.
• Develop ETL, ELT, and data ingestion pipelines for structured and unstructured data.
• Architect real-time streaming, API, and microservices-based data ingestion workflows.
• Manage full load, CDC, and micro-batch ingestion processes.
• Lead data modeling efforts and establish analytical sandboxes with one-click deployment and environment provisioning.

Required Skills

• 15+ years of IT industry experience.
• 5+ years of experience leading data modeling and architecture for Data Lakes or Data Warehouses.
• 10+ years of hands-on development in Data Warehouse and Data Lake environments.
• Expertise in Google Cloud ecosystem including BigQuery, DataProc, and DataFlow.
• Proven experience in ETL, ELT, and data acquisition.
• Experience with CI/CD, DevOps, and GitHub integration.
• Knowledge of real-time streaming and API/microservices-based ingestion.
• Understanding of Advanced Analytics, Data Science, AI, and Machine Learning.
• Bachelor's degree or equivalent graduate education.

Preferred Skills

• Experience with Kafka and Dataflow development.
• 2+ years of experience with SAP S3/S4 HANA.
• Domain knowledge in HR, Finance, Supply Chain, or Utilities.

Key Skills

Education

Any Graduate