Data Engineer

This is Prashant from Judge Group. I was just trying to reach you for an opportunity we have for Senior Data Engineer- Chicago, IL Hybrid

So just wondering if you are looking for any new opportunity.

Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems including ERP, CRM, and operational platforms

Build and support ICC’s cloud-based data lakehouse architecture (aligned to medallion layers and governance standards)

Develop and maintain data models, semantic layers, and curated datasets for analytics and business intelligence

Translate business requirements into technical data solutions in collaboration with product, engineering, and business stakeholders

Ensure data quality, integrity, and security in alignment with ICC data governance and compliance standards

Optimize SQL queries, data pipelines, and storage performance across AWS and Azure platforms

Support data integration initiatives including Data Lake, D365 ERP, and CRM/AMS platforms

Monitor pipeline health, troubleshoot issues, and ensure high availability and reliability of data systems

Contribute to continuous improvement of data architecture, standards, and best practices

Support AI and analytics initiatives by enabling high-quality, accessible data for downstream consumption

Ability to establish positive working relationships with multiple disciplines of Information technology department & staff levels

Demonstrated ability to collaborate and receive feedback regarding ongoing projects

Demonstrated ability to respond to business issues with the appropriate sense of urgency

Sense of when to escalate a problem or ask for assistance

Organized, self-starter with outstanding written and verbal communication skills

Problem solving skills and strong attention to details

Ability to identify and document business/system requirements

Ability to work in a high energy, team focused environment

Ability to work and deliver against aggressive timelines to meet the project schedules

Ability to work productively from home (including access to a reliable internet connection) is required

Essential Skills and Education / Experience:

Bachelor’s degree in Computer Science, Information Systems, or related field

4+ years of experience in data engineering or data platform development

Strong experience designing and building ETL/ELT pipelines in cloud environments

Hands-on experience with AWS (S3, Redshift, Glue, DMS) and Azure (Data Factory, SSIS)

Strong proficiency in SQL and relational database design

Solid understanding of data warehousing, data lakes, and lakehouse architecture

Experience with structured, semi-structured, and unstructured data processing

Experience with data modeling, data quality, and performance optimization

Strong analytical, problem-solving, and communication skills

Plus:

Experience with medallion/lakehouse architecture patterns

Experience working in multi-cloud environments (AWS and Azure)

Experience with Databricks, Spark, or Azure Fabric

Experience with Power BI or enterprise reporting platforms

Familiarity with AI/ML data enablement and tools (e.g., AWS Bedrock, RAG concepts)

Experience with Git, Azure DevOps, and CI/CD practices

Understanding of Agile methodologies and SDLC

Role Characteristics:

Technical individual contributor role with ownership of data engineering deliverables