Job Description || Data Engineer || Milwaukee - WI (Remote) || Contract

Hello ,

Hope you're doing great.

This is Parthav from Ztek Consulting Inc.

Below is the job description. If this is of interest, please email your resume along with your present work/visa status, compensation/rate, and any other relevant details for an immediate consideration.

Title: Data Engineer,

Location: Milwaukee - WI (Remote),

Type of Hire : Contract.

Responsibilities:

Primary skillset Fivetran, Snowflake & Azure ADF
Secondary skillset Python, AI tools

Job Summary: The Architect role focuses on designing and implementing scalable data analytics platforms using Microsoft Fabric Power BI Fivetran and Azure Data Factory for a global enterprise client in a hybrid work model. The role ensures robust data integration governance and insight delivery to support strategic decisions and responsible innovation.

Responsibilities: -Design end to end data architectures that leverage Microsoft Fabric Power BI Fivetran and Azure Data Factory to provide reliable analytics solutions for enterprise stakeholders -Develop robust data integration patterns using Fivetran and Azure Data Factory that ensure timely ingestion from diverse source systems into curated data models -Optimize semantic models in Microsoft Fabric and Power BI to deliver responsive reports and dashboards that support complex business questions and self service analytics -Define and implement data modeling standards for dimensional and operational data structures that improve consistency reusability and analytical performance across domains -Collaborate with business teams to translate analytical requirements into scalable data pipelines dashboards and metric definitions that align with strategic objectives -Establish governance guidelines for data quality access control and lifecycle management across Microsoft Fabric workspaces and related data platforms -Review existing data pipelines and reports to identify technical debt performance bottlenecks and modernization opportunities using fabric native capabilities -Guide teams in adopting best practices for version control deployment automation and monitoring of Power BI artifacts and Azure Data Factory pipelines -Coordinate with cloud infrastructure and security teams to ensure data architectures comply with enterprise standards regulatory constraints and privacy expectations -Provide detailed solution documentation including architecture diagrams runbooks and design decisions that support maintainability and future enhancements -Engage in performance tuning of data flows query patterns and refresh strategies to maintain cost efficient and resilient analytics environments -Partner with product and analytics teams to introduce advanced capabilities such as reusable data products certified datasets and governed self service models -Drive continuous improvement by evaluating new Microsoft Fabric features and modern data engineering techniques that enhance value to the enterprise and society

Qualifications -Require professional experience of at least ten years in data architecture or advanced data engineering with strong exposure to large scale analytics initiatives -Require proven hands on expertise with Microsoft Fabric including Power BI data modeling workspace administration and deployment processes for enterprise reporting -Require strong implementation experience with Azure Data Factory focused on building orchestrated data pipelines parameterized flows and robust error handling patterns -Require practical experience integrating data using Fivetran or similar ingestion tools including configuration of connectors management of schemas and monitoring of loads -Require solid proficiency in SQL and data warehousing concepts including dimensional modeling star schemas and optimization techniques for analytical workloads -Require background in cloud data platforms on Azure with understanding of storage options security controls and cost optimization strategies for analytics workloads -Nice to have experience with scripting or programming for automation and data transformation using tools such as Python or enterprise grade equivalent stacks -Nice to have experience working in hybrid work models with distributed teams and global stakeholders using modern collaboration tools to coordinate design and delivery -Nice to have familiarity with data governance frameworks metadata management and cataloging practices that support discoverability and responsible data use -Nice to have prior involvement in projects that use data insights to advance social impact sustainability or customer centric outcomes within large organizations

Parthav Patil

(678) 850-9480

parthav@ztekinc.com

www.ztekinc.com