Information Technology - BI Developer

TCC, 10300 Kincaid Drive, Fishers, Indiana, United States of America

Posted Wednesday, June 3, 2026 at 4:00 AM

The Cellular Connection (TCC) is looking for full-time resource who has solid experience in Business Intelligence solution development and support, specifically focused in Data Profiling, Data Warehouse, and ETL using Microsoft toolset.

The successful candidate will embody and work to reinforce our company’s mission. At TCC we believe our communities need more than just a wireless retailer, and our employees want more than just a job. We are committed to making a positive and sustainable impact on the lives of our employees, customers and communities. The foundation of TCC’s business is built around 5 promises –Care, Drive the Business, Connect, Inspire, Be Authentic.

We will Care about the people around us and the world. We will Drive the Business to greater success so that we can do more good. We will Connect with the people around us. We will Inspire others to join us in doing good. We will Be Authentic in our words and actions.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions

• Design, develop, and maintain end-to-end ETL/ELT pipelines using Microsoft Fabric Data Factory and Fabric-native experiences.
• Build, and optimize Spark-based transformations using Spark SQL and PySpark for large-scale data processing.
• Build and manage scalable data workflows using Azure Data Factory and Fabric Data Factory and integrate with One Lake ,
  Dataflows Gen2
• Develop reusable, modular pipelines leveraging Python for data transformation, orchestration logic, and automation.
• Implement ingestion patterns for structured and semi-structured data from internal and external data sources
• Support AI and advanced analytics use cases by providing curated, high-quality data layers optimized for machine learning and AI workloads.
• Partner with analytics and data science teams to enable feature-ready datasets and scalable model inputs.
• Apply data quality, validation, and observability patterns to ensure accuracy, reliability, and trust in downstream analytics and AI outputs.
• Expertise in Azure tools, specifically Data Factory, Azure Automation - Runbooks/Workbooks and Dev Ops
• Develop and tune SQL and Spark SQL queries, views, and transformations for performance and scalability.
• Optimize data models, partitioning strategies, and storage formats to support enterprise BI and AI workloads.
• Leverage Fabric monitoring and logging to identify bottlenecks and improve pipeline performance.
• Implement CI/CD and deployment best practices using Azure Dev Ops or equivalent tooling for Fabric assets.
• Create and manage pipelines, schedules, and dependencies with a focus on reliability and recoverability.
• Monitor pipeline health, address failures proactively, and ensure SLAs are met.
• Experience in implementing Logic Apps, Stored Procedures, ETL, Cube, Reports
• Ensure data accuracy ,
  data quality , and data governance across all ETL processes.
• Produce clear documentation including data flows, pipeline logic, dependencies, data dictionaries, and business rules.
• Build and maintain automated testing and validation to reduce defects and improve data quality.
• Follow data governance, security, and compliance standards across the platform
• Interact with business users and customers to gather requirements, understand issues, and communicate resolutions clearly.
• Handle production support for Data and Orchestration systems, ensuring high availability and quick resolution of data issues.
• Handle and resolve support tickets related to data discrepancies, report issues, job failures, and user queries.
• Collaborate with business stakeholders, analysts, and data scientists to understand data requirements and deliver BI solutions.
• Optimize data models for performance and usability in Power BI and other visualization tools.
• Support production data pipelines and BI systems, ensuring high availability and timely issue resolution.
• Investigate and resolve data…