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• 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 :- 30th 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.

 

Skill

Required / Desired

Amount

of Experience

• 6+ years of experience in data architecture and engineering.

Required

6

Years

• 2+ years hands-on experience with Azure Databricks and Spark.

Required

2

Years

Recent experience with Microsoft Fabric platform.

Required

2

Years

Azure Databricks Experience

Required

2

Years

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

Required

3

Years

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