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Data Engineer

This role is for a Data Engineer with strong Python and Azure Synapse Analytics expertise. It’s a 3-month contract, hybrid (2 days onsite), located in "Montvale, NJ," "Atlanta, GA," "Orlando, FL," or "Denver, CO." W2 candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
3 to 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Montvale, NJ
🧠 - Skills detailed
#Automation #Storage #API (Application Programming Interface) #Python #Synapse #Data Engineering #Data Security #Azure #SQL (Structured Query Language) #Data Manipulation #ADF (Azure Data Factory) #Data Management #Azure Synapse Analytics #Data Quality #Data Modeling #Azure SQL Database #Data Extraction #Consul #AI (Artificial Intelligence) #Azure Data Factory #Libraries #Azure SQL #Scripting #Metadata #"ETL (Extract #Transform #Load)" #Compliance #Security
Role description
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Our client has an opening for a Data Engineer with heavy Python experience and Azure expertise, specifically with Azure Synapse Analytics. You will have the opportunity work a hybrid schedule of 2 days onsite / 3 days remote.


• This specific role does not allow for C2C consultants


• Duration: 3-month contract with extension through December 2025.

Locations: This position can sit at any of the following locations:

Montvale, NJ 07645

Atlanta, GA 30328

Orlando FL 32801

Denver, CO 80202

Interviews:

At least one interview will be conducted IN PERSON.

Candidates will NOT be considered if lacking any of the skills below:

Top MUST HAVE Skills

  1. Strong Python Development (for data manipulation, scripting, and automation)

  2. Strong ETL custom processes

  3. Azure Synapse to create data Python pipeline jobs and clusters.

  4. Azure Data Factory and Azure Storage

  5. Azure SQL

Qualifications:
• W2 candidates only
• Python (more than 3 years’ experience with libraries to extract data from PDF, MS office files).
• Proven experience as a Data Engineer, with a strong focus on Azure Synapse Analytics.
• Azure Synapse to create data Python pipeline jobs and clusters.
• Good knowledge of API integration
• Proficiency in Python for data manipulation, scripting, and automation.
• Expertise in Azure services, including Azure Data Factory, Azure SQL Database, and Azure Storage.
• Hands-on experience with Azure AI Document Intelligence for document processing and data extraction.
• Create, manage, and optimize ETL processes to ensure efficient data flow and high data quality.
• Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
• Monitor and troubleshoot data systems, ensuring optimal performance and reliability.
• Implement best practices for data security, metadata management, and compliance with organizational policies.

Candidates must be authorized to work in the U.S. without sponsorship.