Consultant (Data Engineer)

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW.

Key Responsibility

Stay up to date with Azure and Microsoft Fabric advancements to enhance data engineering processes.

Other Responsibilities

Design, develop, and optimize data pipelines and ETL processes using Microsoft Fabric, Azure Data Factory (ADF).

Implement data warehousing solutions and support end-to-end data lifecycle management.

Work with SQL to write complex queries, optimize performance, and manage data transformation.

Utilize Azure Portal to manage and monitor cloud-based data infrastructure.

Collaborate with stakeholders to understand data requirements and build data models for analytics and reporting.

Ensure data integrity, security, and governance in alignment with best practices.

Provide basic support and understanding of Microsoft Fabric for analytics and data management.

Troubleshoot data pipeline issues and optimize cloud-based data workflows.

Education and/or Experience Qualifications

• Report project/task status to the appropriate Application Development Manager on a weekly basis (at minimum).

• Ensure stakeholders are responded to in a timely and professional manner. Foster open lines of communication with all parties.

Bachelor’s degree in Computer Science, or equivalent practical knowledge/experience.

Required Qualifications

2+ years of experience in Data Engineering.

Strong expertise in SQL, including query performance tuning and stored procedures.

Hands-on experience with Data Warehousing concepts, star/snowflake schema, indexing, and partitioning.

Proficiency in Microsoft Fabric, Azure Data Factory (ADF) for ETL/ELT workflows.

Working knowledge of Azure Portal for resource management and monitoring.

Understanding of Microsoft Fabric and its role in data analytics.

Familiarity with Azure Data Services (e.g., Azure Synapse, Azure SQL Database, Azure Storage).

Experience in data modeling, data governance, and metadata management.

Strong analytical and problem-solving skills with the ability to debug and optimize data pipelines.

Preferred Qualifications

Experience with Python or Spark for data transformations.

Exposure to real-time data processing (e.g., Azure Event Hubs, Stream Analytics).

Certifications in Azure Data Engineering (e.g., DP-203), Fabric Certifications (DP600, DP700) or relevant Microsoft certifications.

Understanding of Power BI or other visualization tools.

We make technology work so people can do great things.