Azure Engineer

Company Description

Y&L Consulting, Inc., is a global business and technology solutions company headquartered in San Antonio, TX. With operations across 28 states within the U.S., Y&L specializes in IT Roadmapping & Technology Strategic Planning, IT Project Assessments & IT Project Management, IT Application Development & Support, IT Service Desk and Infrastructure Support, Information Asset Optimization/Business Intelligence Services, and Ecommerce Application Development. Y&L is an SAP Gold Partner, an Oracle Partner, a Microsoft Silver Partner, and an IBM and HP Business Partner.

Azure Cloud, Services, Databricks, ADT, Python/Pyspark, SQL, SSIS, Healthcare

Azure Databricks, ADT, .NET core, Python/Pyspark, SSIS, SQL Healthcare Domain Experience required Position Overview We are seeking a skilled Azure Engineer to join our dynamic team. As the Azure Engineer, you will play a pivotal role in architecting, implementing, and optimizing Azure pipelines solutions to support our data engineering and analytics initiatives. You will collaborate closely with cross-functional teams to understand business requirements, design scalable data solutions, and lead the execution of projects. Position will require knowledge and experience in the healthcare domain. Key Responsibilities

• Design, development, and implementation of Azure and .NET core solutions ensuring alignment with business objectives and best practices.

• Architecture and Design: Architect robust and scalable data pipelines on Azure Databricks

• Data Engineering: Develop ETL processes, data ingestion pipelines, and data transformations to support data integration and analytics requirements.

• Design and implemented real-time data integration pipeline to process semistructured data, across multiple DBMS. RDBMS and NoSQL using Kafka and PySpark

• Implement and design web and data solutions that use the following Azure services: Azure function App, Azure queue Azure ,Web App, Azure storage, Azure Cosmos DB, Azure Data Factory.

• Excellent knowledge of Python, PySpark, SQL/SSIS, C# etc.

• Performance Optimization: Optimize Azure Databricks workloads for performance, reliability, and cost-efficiency, utilizing techniques such as partitioning, caching, and resource management.

• Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand requirements, translate them into technical solutions, and deliver actionable insights.

• Experience with data modeling is a plus with building data warehouse from scratch identifying Dimension and Fact entities using Star and Snowflake schema.

• Documentation and Best Practices: Document architecture, design decisions, and technical guidelines, ensuring adherence to best practices and standards

• Discovery and documentation of processes – as-is and to-be

• Creating and executing test plans to ensure the highest quality of products.

• Creating data quality rules and ensuring verification

• Creating and maintaining detailed documentation for all projects. Qualifications

• Bachelor’s degree in computer science/information technology or related field.

• Minimum 5 years of experience in Azure and .NET core, MS SQL and Azure SQL and over 7 year of experience overall

• Excellent knowledge of different software testing practices and techniques specifically as it relates data pipelines, data integration and building up of a data foundational architecture.

• Excellent verbal and written communication skills.

• Strong problem-solving and critical thinking skills.

• Highly organized and detail-oriented.