Azure Data Engineer

Title: Azure Data Engineer
Location: Houston, TX 77024 (Hybrid: 3 days onsite / 2 days remote)
Duration: Direct Hire
Work Requirements: , Holders or Authorized to Work in the U.S.

Job Description
3+ years of expertise in building scalable distributed data processing solutions with Azure Data Lake Storage and Azure Synapse Data Warehouse, understanding of the functionalities - Identity Management, Security, Data Governance, DevOps, and Operations on Azure Platform. Expert in managing data models, PySpark and Python code, data pipelines, data load failure issues, and optimization of existing ML spark jobs for better performance.

Skills and Abilities:

Ability To

• Build and manage Data Pipelines
• Build and manage data models
• MS Fabric/Azure Synapse/Data Factory
• Azure Data Lake Storage /ADLS Gen2
• Oracle PL/SQL, T-SQL (Queries, Functions, Stored Procedures)
• Python and PySpark

Knowledge

• Python, PySpark
• Azure DevOps
• AI/ML nice to have

Minimum Education And Certification

• Bachelor's degree

Minimum Experience

• 3+ years of IT and Data Warehouse experience

Leadership

• Customer-focused professional who is motivated to drive the creation of great data engineering platforms.
• Contribute to the continued evolution of Corporate Analytics Platform
• Responsible for managing a growing cloud-based data ecosystem.

Problem Solving And Innovation

• Ability to define and create complex data models to build insights, predictions, and innovations from data.
• Expected to identify opportunities and to provide ideas, methods and innovations to enhance teamwork, efficiency and quality.

This job description is a summary of essential job functions. It is not intended as an employment contract, nor is it intended to describe all duties someone in this position may perform. All employees are expected to perform tasks, as assigned by supervisor, regardless of job title or routine job duties.

Qualifications

• 3+ years of expertise in building scalable distributed data processing solutions with Azure Data Lake Storage and Azure Synapse Data Warehouse, understanding of the functionalities - Identity Management, Security, Data Governance, DevOps, and Operations on Azure Platform.
• Expert in managing data models, PySpark and Python code, data pipelines, data load failure issues, and optimization of existing ML spark jobs for better performance.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities