• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 29th Aug 2025

Microsoft Fabric Expertise:

• Data Integration: Combining and cleansing data from various sources.

• Data Pipeline Management: Creating, orchestrating, and troubleshooting data pipelines.

• Analytics Reporting: Building and delivering detailed reports and dashboards to derive meaningful insights from large datasets.

• Data Visualization Techniques: Representing data graphically in impactful and informative ways.

• Optimization and Security: Optimizing queries, improving performance, and securing data

Azure Databricks Experience:

• Apache Spark Proficiency: Utilizing Spark for large-scale data processing and analytics.

• Data Engineering: Building and managing data pipelines, including ETL (Extract, Transform, Load) processes.

• Delta Lake: Implementing Delta Lake for data versioning, ACID transactions, and schema enforcement.

• Data Analysis and Visualization: Using Databricks notebooks for exploratory data analysis (EDA) and creating visualizations.

• Cluster Management: Configuring and managing Databricks clusters for optimized performance. (Ex: autoscaling and automatic termination)

• Integration with Azure Services: Integrating Databricks with other Azure services like Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.

• Machine Learning: Developing and deploying machine learning models using Databricks MLflow and other tools.

• Data Governance: Implementing data governance practices using Unity Catalog and Microsoft Purview 

Programming & Query Languages:

SQL: Proficiency in SQL for querying and managing databases, including skills in SELECT statements, JOINs, subqueries, and window functions12.

Python: Using Python for data manipulation, analysis, and scripting, including libraries like Pandas, NumPy, and PySpark

 

Data Modeling:

• Dimensional modeling

• Real-time data modeling patterns

 

Soft Skills:

• Strong analytical and problem-solving abilities

• Excellent communication skills for technical and non-technical audiences

• Experience working with government stakeholders

 

Preferred Experience:

• Azure DevOps

• Infrastructure as Code (Terraform)

• CI/CD for data pipelines

• Data mesh architecture

 

Certifications (preferred):

• Microsoft Azure Data Engineer Associate

• Databricks Data Engineer Professional

• Microsoft Fabric certifications (as they become available)

 

Project-Specific Requirements:

• Experience designing data architectures for grant management systems

• Knowledge of federal/state compliance requirements for data handling

• Understanding of financial data processing requirements

• Experience with real-time integration patterns

This position requires strong expertise in modern data architecture with specific focus on Microsoft's data platform. The successful candidate will play a crucial role in designing and implementing scalable data solutions that enable efficient data processing and analytics for state-level grant management and reporting systems.