Offer summary

Qualifications:

12+ years of experience in cloud engineering and data infrastructure roles., Strong expertise in Azure services such as Azure SQL, Blob Storage, Key Vault, and App Services., Proficiency in designing and managing ETL pipelines using Azure Data Factory or similar tools., Excellent Python scripting and SQL skills for data transformation and validation..

Key responsibilities:

Design and deploy secure Azure infrastructure for data workflows.

Build and maintain data pipelines for critical business data integration.

Handle file uploads and data conversions for various business data types.

Collaborate with developers and product owners to align infrastructure with business needs.

Job description

This is a remote position.

Join one of the Philippines’ fastest-growing tech companies!

Company Overview:

Full Scale is a tech services company that helps businesses build dedicated teams of skilled software engineers. We make finding and retaining experienced software talent easy and affordable.

Job Description:

We’re hiring a Lead Azure Cloud & Data Engineer to design and deploy secure cloud infrastructure and build data pipelines that power business-critical workflows. This role involves end-to-end ownership of data ingestion, transformation, and synchronization across job, financial, and operational systems.

Key Responsibilities:

Design and deploy secure Azure infrastructure to support data integration, automation, and reporting workflows.
Build and maintain data pipelines to ingest, transform, and sync business-critical data across job, financial, and operational systems.
Handle file upload and conversion processes for time logs, estimates, financial data, and customer records into integration-ready formats.
Implement staging, validation, and transformation logic for structured data across multiple source systems.
Configure middleware-driven sync queues and support bi-directional updates across platforms.
Collaborate with application developers and product owners to align infrastructure and data flows with business requirements.

Requirements

12+ years of experience in cloud engineering and data infrastructure roles, with strong Azure expertise
Proven experience designing and managing Azure SQL, Blob Storage, Key Vault, App Services, and RBAC policies
Deep understanding of ETL pipelines using Azure Data Factory, Airflow, or equivalent tools
Strong Python scripting and SQL skills for transformation logic and validation
Familiarity with middleware tools and syncing strategies (read/write syncs, delta updates, audit logs)
Must be experienced in Agile methodology and capable of leading or participating in sprint-based workflows using Jira