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

Ipolarity LLC
Indianapolis, IN, United States
4 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Business Analytics Applications Data Analysis Microsoft Azure Cloud Storage Information Systems Information Engineering Extract Transform Load (ETL)
+28 more
Data Transformation Dataspaces Python (Programming Language) Node.Js Performance Tuning Power BI SQL Databases Systems Integration Cloud Platform System Microsoft Power Automate Azure Data Factory ReactJS Large Language Models Snowflake Powerquery Microsoft Fabric Information Technology Data Analytics Tools for Reporting Cloud Integration Functional Programming Restful APIs Azure Synapse Analytics Data Pipelines Api Management Docker Jenkins Databricks

Job description

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., 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

Requirements

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, 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.

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