Job Description
Job title : Azure Data Engineer Microsoft Fabric & Power BI
Work Location with Zip code: Indianapolis, IN 46241 (2 days a week in Office)
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
Required Skills
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.
Work Location with Zip code: Indianapolis, IN 46241 (2 days a week in Office)
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 ClientP 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.
Numbers & Facts
| Location | Indianapolis, IN |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | www.eteaminc.com |
About Company
Looking for a great job? Join eTeam. We’re looking for talented staffing professionals to join our staff. We also provide contract assignments and full-time jobs at Fortune 2000 Companies. We’ve been named one of the best companies to work for by Staffing Industry Analysts and New Jersey Business.
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