Description

You will design and own data migration workflows and ETL/ELT pipelines across AWS, GCP, and Azure.

Responsibilities

• Build and maintain data pipelines in distributed cloud environments.
• Develop data migration strategies balancing online/offline approaches, performance, and scalability.
• Integrate LLM and Generative AI components into existing workflows.
• Execute system testing, identify edge cases, and debug cross-system failures.
• Document technical findings and ensure data integrity and consistency.

Required Skills

• 5+ years of experience with cloud platforms (GCP, AWS, or Azure).
• Strong background in data pipelines, ETL/ELT workflows, and distributed systems.
• Hands-on experience with LLMs or Generative AI (prompting, evaluation, or integration).
• Proven ability in system testing, validation, and QA.
• Strong debugging and problem-solving capabilities.
• Excellent written communication skills for stakeholder reporting.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with MLOps, model evaluation frameworks, or AI testing workflows.
• Background in storage administration, SRE, or cloud infrastructure operations.
• Familiarity with Google Cloud Storage (GCS) or similar platforms.

Key Skills

Education

Bachelor's degree