IT - Technology Analyst | Cloud Integration | Azure Data Factory (ADF)

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: $47.88 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.

Project Code: DM AMS DataOps allocation child code for