Microsoft Fabric Data Engineer

Overview

Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

SANS
Microsoft
Data Management
Data Storage
Scalability
Data Integration
Big Data
Apache Spark
Workflow
Data Analysis
Machine Learning (ML)
Migration
Database
Data Processing
Interfaces
Data Engineering
Analytics
Software Development
Scripting
Extract
Transform
Load
Microsoft SSIS
Microsoft Power BI
Data Flow
Database Administration
SQL Azure
Data Lake
Storage
Microsoft Azure
Data Modeling
Data Warehouse
Attention To Detail
Cloud Computing
Data Migration
Analytical Skill
Problem Solving
Conflict Resolution
Root Cause Analysis
Agile
Scrum
Python
PySpark
JIRA
Confluence
SAFE
DevOps
Apache Flex

Job Details

Job Title: Microsoft Fabric Data Engineer



Location: Newark, NJ
Job Description;
Role Name - Microsoft Fabric Data Engineer

EXPERIENCE_RANGE_IN_REQUIRED_SKILLS_ Technical/Functional Skills Azure Data Engineer, Microsoft Fabric

ROLE_DESCRIPTION -

Job Title Microsoft Fabric Data Engineer

ROLE as per TCS Role Master Microsoft Fabric Data Engineer

Note that this is NOT a remote position and customer expects the candidate to be in office (Newark, NJ) 3 days in a week (Tue, Wed & Thurs)

No OPT please. We need experienced resources.



Relevant Experience 8+ Years

Must Have Technical/Functional Skills Azure Data Engineer, Microsoft Fabric

Experience Required 8+

Roles & Responsibilities

Data Management and Storage:

o Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.

o Ensure scalability, performance, and cost-effectiveness.



Data Integration and ETL (Extract, Transform, Load):

o Develop and implement data integration processes using Azure Data Factory.

o Extract data from various sources, transform it, and load it into data warehouses or data lakes.



Big Data and Analytics:

o Utilize big data technologies such as Apache Spark.

o Create data processing workflows and pipelines to support data analytics and machine learning applications.



Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.

Monitor and optimize data pipelines and database performance to ensure data processing efficiency.

Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.

Document data engineering processes, data models, and pipelines to ensure transparency and maintainability.



Bachelor's degree Computer Science or a related field.

5+ of experience in building data and analytics platform focused on Azure data and analytics solutions.

Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure



Data Lake Proficiency in:

o Software development and scripting languages

o ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow).

o Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).

Knowledge of data modeling and data warehousing concepts.

Excellent problem-solving and troubleshooting abilities.

Attention to detail and commitment to data accuracy.

Experience with cloud-based data migration.

Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions.

Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.

3+ years of programming experience in Python/Pyspark.

Knowledge of Jira, Confluence, SAFe development methodology & DevOps
Note: For Immediate response please reach out to me at Bhavana at galaxy i tech dot com / six zero two six one zero two one six nine.



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