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Data Engineer-Advent/Axys

This role is for a Data Engineer-Advent/Axys in Evanston, Illinois, with a contract length of unspecified duration and a pay rate of $79.16 to $91.66 hourly. Key skills include advanced proficiency in Advent-Axys, Microsoft Excel, and SQL. Prior experience in Investment Management is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
728
🗓️ - Date discovered
February 21, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Evanston, IL
🧠 - Skills detailed
#Microsoft Excel #Data Integration #Data Science #Databases #Monitoring #Data Architecture #Data Engineering #Computer Science #SQL (Structured Query Language)
Role description
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Salary: $79.16 to $91.66 hourly

Description

We are in search of a meticulous Data Engineer-Advent/Axys to be a part of our Investment Management team located in Evanston, Illinois. This role involves handling customer applications, maintaining customer records, and resolving customer inquiries with precision. The position also requires monitoring customer accounts and taking necessary actions.

Responsibilities
• Efficiently process customer credit applications using Advent - Axys and Microsoft Excel.
• Utilize SQL - Structured Query Language to manage SQL databases.
• Maintain customer credit records with the highest level of accuracy.
• Resolve customer inquiries by demonstrating excellent listening skills.
• Monitor customer accounts and take appropriate actions when necessary.
• Display a high level of organization and attention to detail in all tasks.

Requirements
• Applicant must possess advanced proficiency in Advent - Axys
• Strong working knowledge of Microsoft Excel is required
• Candidate should have practical experience in SQL
• Demonstrated ability in SQL - Structured Query Language is essential
• Prior experience in the Investment Management/Companies industry is preferred
• Ability to analyze and interpret complex data sets is a necessity
• Proven experience in data engineering is required
• Should be able to work collaboratively in a team environment
• Strong problem-solving skills and attention to detail are essential
• Excellent written and verbal communication skills are necessary
• Bachelor’s degree in Computer Science, Data Science, or a related field is preferred
• Knowledge of data architecture and data integration is a plus.

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