Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level experience, metro location, and broad cloud-data skillset increase candidate competition.
Core cloud data engineering skills are transferable, though ERP/SOX context adds moderate domain bias.
Explicit 5+ years requirement plus Azure, IaC and DevOps mandates make screening stringent.
Design, implement, and maintain scalable cloud-based data pipelines and storage solutions for large data volumes.
Collaborate with data engineers and stakeholders to develop and optimize data platform architectures considering scalability, cost, and security.
Implement data ingestion, processing, and transformation workflows using technologies like Azure Spark and Azure SQL Pools, maintaining compliance with internal controls such as SOX.
5+ years of applicable experience with at least 2 years in specialized/industry experience.
Bachelor's degree or equivalent experience.
Strong skills in Excel and financial systems.
Work Experience Required: 5+ years applicable experience.
Proficient with Azure cloud services, including development of data pipelines and data storage solutions in enterprise environments.
Familiarity with infrastructure-as-code tools (Bicep, Terraform, ARM) and DevOps practices like CI/CD for data assets deployment.
Experience or interest in AI-assisted development and lightweight application development (e.g., Python, FastAPI) for data tooling and AI-driven solutions.