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Data Engineer

This role is a Data Engineer position in Chicago, Illinois, offering a short-term contract with a pay rate of $79.16 to $91.66 hourly. Requires 7+ years of experience, proficiency in Apache Kafka, Azure Data Factory, and strong problem-solving skills.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
728
🗓️ - Date discovered
February 12, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Chicago, IL
🧠 - Skills detailed
#ADF (Azure Data Factory) #Data Lake #Visualization #Data Management #Apache Kafka #Azure SQL #Apache Spark #API (Application Programming Interface) #Data Ingestion #Cloud #Data Engineering #Azure Data Factory #Data Pipeline #Data Architecture #Kafka (Apache Kafka) #Data Migration #AWS (Amazon Web Services) #Databricks #Pig #SQL (Structured Query Language) #Data Processing #Hadoop #Azure Databricks #Storage #Public Cloud #Azure #Spark (Apache Spark) #Migration
Role description
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Salary: $79.16 to $91.66 hourly

Description

We are offering a short term contract employment opportunity for a Data Engineer in Chicago, Illinois. As a Data Engineer, you will be instrumental in developing new data pipelines, enhancing current data architecture, and troubleshooting any issues that may arise. Your role will also involve implementing Azure data architectures and environments and collaborating within a project team to solve complex problems.

Responsibilities
• Develop and architect new data pipelines to handle large amounts of data
• Enhance and optimize current data pipelines and data architecture to meet emerging data and analytic needs
• Troubleshoot and resolve issues and bottlenecks within the current data architecture
• Implement and design Azure data architectures and environments, optimizing applications for Azure when necessary
• Collaborate within a project team environment to solve complex problems, contributing to project success
• Utilize Azure services for data migration and data processing, including Serverless Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, and more
• Maintain familiarity with the technology stack available for data management, data ingestion, capture, processing, and curation
• Work with cloud migration methodologies and processes, including tools like Azure Data Factory, Event Hub, etc.
• Display a strong knowledge of private and public cloud architectures, their pros/cons, and migration considerations.
• Contribute to a team-oriented environment, fostering creativity and problem-solving skills.

Requirements
• Minimum of 7 years of experience as a Data Engineer or in a similar role
• Proficiency in Apache Kafka, Apache Pig, and Apache Spark
• Extensive experience with Cloud Technologies
• Strong skills in Data Visualization and Algorithm Implementation
• Proven experience in Analytics and Apache Hadoop
• Strong knowledge in API Development
• Familiarity with AWS Technologies
• Experience with Azure Data Factory, Azure Data Lake, and Azure Databricks
• Strong problem-solving skills and ability to adapt to new technologies
• Excellent communication and collaboration skills

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