Company Description: IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.
Description: Job title : Lead Data Engineer
Work Location with Zip code: Indianapolis, IN 46241 USA
Is this a hybrid/full Onsite set-up?: 2 days a week in Office
Do you consider candidate/s who are willing to relocate?: Yes
Vendor Rate: *** USD/hr
Contract duration: 1 Year
Target start date: 02/11/2026
Interview Process (Is face to face required?): F2F or Team Video Call
Minimum years of experience required: 4+
Must Have Skills: Azure Data Factory (ADF), Azure Databricks, Power BI (Semantic Models, DAX, Reporting).
Nice to Have Skills: Python, Snowflake, Azure Synapse Analytics
Detailed Job description:
Experience
4+ Years
Job Summary
We are seeking a skilled Data Engineer with hands-on experience in Microsoft Fabric, Azure Databricks, Azure Data Factory (ADF), and Power BI. The ideal candidate will be responsible for designing, developing, and supporting scalable data pipelines, analytics solutions, semantic models, and reporting platforms. Experience with API integrations, SQL, Python, and modern cloud-based data ecosystems is highly preferred.
Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric.
Develop and optimize data transformation workflows using Azure Databricks.
Build and maintain Power BI semantic models, reusable measures, KPIs, and reporting solutions.
Create interactive dashboards and reports to support business intelligence and decision-making.
Integrate data from multiple sources using REST APIs and other enterprise data interfaces.
Collaborate with business stakeholders to gather requirements and deliver data-driven solutions.
Develop automation solutions leveraging AI/LLM technologies, NLP, OCR, and Power Automate.
Ensure data quality, performance optimization, and governance across analytics platforms.
Support cloud-based data platforms and analytics environments.
Required Skills
Azure Databricks
Azure Data Factory (ADF)
Microsoft Fabric
Power BI
Semantic Models
SQL
Python
REST API Integration
Data Modeling
DAX & Power Query
Azure Cloud Services
Git/GitHub
Agile Methodologies
Preferred Skills
Snowflake
Azure Blob Storage
Dataverse
AWS (EC2, S3, Lambda)
Power Automate
NLP, OCR, and LLM Integrations
Fabric MCP Server
Docker
Jenkins
Postma
Qualifications
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
4+ years of experience in Data Engineering, Business Intelligence, or Analytics Engineering roles.
Nice to Have
Experience building end-to-end analytics solutions using Microsoft Fabric.
Experience developing KPI-driven Power BI dashboards.
Exposure to AI-enabled analytics and automation use cases.
Knowledge of ReactJS, Node.js, or full stack development.
Custom Fields:
Name: Intake Call Requested
Value: true
Name: Intake Call Completed
Value: true
EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.