Azure Data Engineer (Only on W2)

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Year(s)

Skills

Agile
Analytical Skill
Analytics
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Conflict Resolution
Data Migration
Data Storage
Data Warehouse
Databricks
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Machine Learning (ML)
Microsoft Azure
Problem Solving
Profit And Loss
Requirements Elicitation
SQL
SQL Azure
Training
Vector Databases
Waterfall

Job Details

Role: Azure Data Engineer

Location: Princeton, NJ (Onsite)

No. of years experience: 12+ years

Note: Only on W2

Skillset and Experience

  • Overall, 3-5 years of skills with Data Migration and Azure Cloud Data Migration and Data Warehousing related projects.
  • Collaborate with AI/ML teams to build and operationalize Generative AI pipelines within Databricks.
  • Work with LLMs (Large Language Models) and vector databases for text summarization, retrieval-augmented generation (RAG), and data enrichment.
  • Use Databricks MosaicML, MLflow, or Hugging Face integrations for training and deploying custom AI models.
  • Strong experience in design and configuration of data movement and transformation (ETL) technologies such as Azure Data Factory
  • Hands on experience on Azure Cloud and its Native components like Azure Data bricks
  • Strong experience in Data storage technologies such as Azure SQL DW, Azure Data Lake
  • Strong experience in analytics solutions using Databricks, Azure Synapse Analytics
  • String experience in coding with languages like SQL, Pl/SQL
  • Good-to-have Azure certification
  • Good experience in Requirements gathering, Design & Development
  • Working with cross-functional teams to meet strategic goals.
  • Experience in high volume data environments
  • Critical thinking and excellent verbal and written communication skills
  • Strong problem solving and analytical abilities, should be able to work and delivery individually
  • Good knowledge of data warehousing concepts
  • Good communication skills
  • Worked in agile methodologies and waterfall execution models
  • Must have excellent oral and written communication with need to interact clients directly
  • Must be both individual contributor, good team player and self-motivated to take on challenges

Primary Skill: Azure Data Factory, Azure Databricks, Gen AI- LMM (Large Multi-Modal Models) and RAG (Retrieval-Augmented Generation).

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