[Hiring] Developer @VARITE

Role Description

Google Gen AI cloud | Databricks Architect

• Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions.
• Architect design and implement large‐scale migration pipelines from on‐prem systems to Azure Data Lake Storage (ADLS).
• Architect experience in generating data pipelines in Azure ADF.
• Strong knowledge of GCP AI/ML services and infrastructure.
• Proficiency with TensorFlow or PyTorch.
• Experience with Python, data modeling, SQL, and APIs.
• Experience with Terraform for automation.
• Proven ability in delivering AI/ML solutions in a cloud environment.
• Experience with performing analytics on data for stakeholders.
• Experience in ingesting data from different sources using Azure ADF.
• Ensure reliable handling of high‐volume unstructured data with performance and cost efficiency.
• Implement data quality checks, logging, and traceability to support audit and compliance needs.
• Experience in transforming data using Azure Databricks & Delta lake.

Qualifications

• 8-10 years of experience required.
• Experience in AI & Gen AI - Products & Tools.

Requirements

• Experience working in agile development projects.

Company Description