Azure Data Engineer

February 11

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i4DM

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i4DM is a company specializing in managed IT services, offering solutions across various industries by leveraging information technology expertise to secure business success. They focus on custom application development, business intelligence, and cloud computing to enhance business operations and efficiencies. i4DM supports organizations in healthcare, government, and more, helping them overcome technological challenges to ensure compliance and operational excellence. As an economically disadvantaged, women-owned, and service-disabled veteran-owned business, i4DM is committed to innovation, strategic resourcing, and being a trusted partner in managed IT services.

business intelligence • application development • database & data warehouses • enterprise portals • identity management & compliance

51 - 200 employees

Founded 2002

🤝 B2B

☁️ SaaS

🏢 Enterprise

📋 Description

• Our core values of People Matter, Integrity, and a Commitment to Excellence drive all that we do. • By joining us, you’ll become a part of a fun and diverse team of talented and creative consultants who share the goal of using the latest technology to solve business challenges. • We're seeking talented and bright team players who are passionate about technology and want to work in a fast-paced, dynamic, and ego-free culture while applying a creative approach to problem-solving. • We're looking for an experienced Windows Azure Data Engineer to join our fast-growing team. • You'll leverage your expertise in Azure PaaS services to design, develop, and maintain data pipelines and cloud-based data solutions. • You'll play a key role in transforming conditioned and refactored data into standardized models for enterprise-wide use. • This role also offers the opportunity to learn and grow into more advanced Dynamics roles, expanding your expertise in Microsoft’s cloud ecosystem while contributing to impactful, enterprise-wide data initiatives. • As part of an Agile team, our Azure Data Engineer will design and implement scalable, secure, and efficient data pipelines using Azure Data Factory (ADF).

🎯 Requirements

• Bachelor’s degree in computer science or a related technical field. • Minimum of five (5) years of practical experience in cloud application development with Microsoft Azure. • Expertise in Azure Data Factory (ADF), Synapse Analytics, Data Lake, Databricks, DAX, Power Query (M), and data modeling. • Strong SQL skills with experience in T-SQL, query optimization, and database performance tuning. • Experience in big data processing using Apache Spark, Python, or Scala. • Experience integrating Power BI with Azure SQL, Data Lake, and Synapse Analytics. • Understanding of ETL processes, data warehousing, and BI best practices. • Strong knowledge of Row-Level Security (RLS) and Power BI service administration. • Hands-on experience with real-time data streaming (Kafka, Event Hub, Stream Analytics). • Familiarity with DevOps for data pipelines, CI/CD, and Infrastructure as Code (Terraform, Bicep). • Knowledge of Azure AD authentication, security best practices, and cloud monitoring. • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements. • Knowledge of Agile, Scrum, and SAFe methodologies. • Microsoft Certified: Azure Data Engineer Associate (DP-203) (Preferred). • Microsoft Certified: Power BI Data Analyst Associate (PL-300) (Preferred). • Experience with CosmosDB, Delta Lake, and NoSQL solutions (Preferred). • Knowledge of Machine Learning and AI integration with data pipelines (Preferred). • Familiarity with Power BI, Looker, or Tableau for data visualization (Preferred). • Knowledge of Azure architecture such as Azure services and portal, Azure Government Cloud, SQL Administrator, SQL reporting, APIs, authorization methods for applications and APIs, migrating SQL schemas and data between environments (Preferred). • Experience in embedded analytics and Power BI API integration (Preferred).