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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and maintain cloud-based data pipelines and data platform architectures focused on large-scale data storage, processing, and analysis.
Collaborate with data engineers and stakeholders to translate business requirements into scalable, reliable data solutions using Azure Spark, SQL Pools, and other cloud-native services.
Ensure data quality, integrity, and timeliness by integrating disparate sources and optimizing data lakes, warehouses, and marts within SOX-compliant controls.
Minimum Requirements
3+ years of experience in data engineering, analytics engineering, DataOps, or related fields.
Strong SQL skills and hands-on experience with data pipelines, data platforms, data warehouses, or data lakes.
Experience gathering requirements from business stakeholders and communicating technical concepts to varied audiences.
Work Experience Required: 3+ years in relevant technical roles.
Ideal Candidate Profile
Experienced with Azure cloud infrastructure and services, including Azure Spark, Azure SQL Pools, and infrastructure-as-code tools like Bicep, Terraform, or ARM.
Familiarity with DevOps practices such as CI/CD, Git-based source control, and automated deployment of data assets.
Exposure to AI-assisted development tools or AI-driven data solutions is a plus but not mandatory.