Company:
Ursus Inc
Location: Dallas
Closing Date: 09/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
JOB TITLE: Data Engineer
LOCATION: Chicago/Dallas Hybrid
DURATION: 6+ months
RATE RANGE: $55 - $65
BOUT THIS ROLE
The Data Engineer will operate, maintain, and improve the data quality, accuracy, timeliness, accessibility, and processing speed to meet client's goal in enhancing financial services through technology. By working on innovative data solutions, this role supports the company's mission to empower dynamic fintech initiatives and change the industry landscape. The Data Engineer will bridge the complex world of data with the company's strategic objectives, making information a powerful tool for business transformation.
Duties/Responsibilities:
• Design, build, and optimize data pipelines, ensuring robustness and scalability for handling vast amounts of dat
• Develop and maintain real-time database systems and data warehousing solutions that align with business needs
• Collaborate with stakeholders to understand data requirements and implement systems that provide critical business insights through data analytics
• Enhance data quality and reliability by implementing modern data management techniques and technologies
• Drive continuous improvement by identifying and implementing system optimizations to reduce downtime and improve data processing efficiency
• Document all data architecture processes and systems while ensuring compliance with industry standards and company policies
• Support data platform operations in all environments during business hours.
Required Skills/Abilities:
• Proficient in Python and minimum of 2+ years' experience with Cloud Data technologies.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experienced in ETL processes using micro services
Education and/or Experience:
• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• At least 2 years of experience in data engineering with a proven track record in data management systems
• Experience in the financial services industry preferred but not required
IND123
LOCATION: Chicago/Dallas Hybrid
DURATION: 6+ months
RATE RANGE: $55 - $65
BOUT THIS ROLE
The Data Engineer will operate, maintain, and improve the data quality, accuracy, timeliness, accessibility, and processing speed to meet client's goal in enhancing financial services through technology. By working on innovative data solutions, this role supports the company's mission to empower dynamic fintech initiatives and change the industry landscape. The Data Engineer will bridge the complex world of data with the company's strategic objectives, making information a powerful tool for business transformation.
Duties/Responsibilities:
• Design, build, and optimize data pipelines, ensuring robustness and scalability for handling vast amounts of dat
• Develop and maintain real-time database systems and data warehousing solutions that align with business needs
• Collaborate with stakeholders to understand data requirements and implement systems that provide critical business insights through data analytics
• Enhance data quality and reliability by implementing modern data management techniques and technologies
• Drive continuous improvement by identifying and implementing system optimizations to reduce downtime and improve data processing efficiency
• Document all data architecture processes and systems while ensuring compliance with industry standards and company policies
• Support data platform operations in all environments during business hours.
Required Skills/Abilities:
• Proficient in Python and minimum of 2+ years' experience with Cloud Data technologies.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experienced in ETL processes using micro services
Education and/or Experience:
• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• At least 2 years of experience in data engineering with a proven track record in data management systems
• Experience in the financial services industry preferred but not required
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