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Data Engineer

This role is for a Data Engineer in Cincinnati, OH, with a contract length of unspecified duration and a pay rate of "expected hourly pay rate." Key skills include ANSI SQL, Microsoft Excel, RDBMS, and Snowflake. A Bachelor's degree in Computer Science or equivalent is required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 20, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Cincinnati, OH
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Distributed Computing #Java #Microsoft Excel #Data Security #API (Application Programming Interface) #Monitoring #Metadata #Cloud #REST API #Documentation #NoSQL #Snowflake #Scala #Version Control #REST (Representational State Transfer) #ML (Machine Learning) #Data Engineering #RDBMS (Relational Database Management System) #SQL (Structured Query Language) #Database Management #Computer Science #Security #Virtualization #Automation #BI (Business Intelligence) #Big Data #Data Lake #Deployment #Data Management
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Javen Technologies, Inc, is seeking the following. Apply via Dice today!

Hi,

Seeking a Data Engineer for onsite contract opportunity with my direct client in Cincinnati OH.

If interested , share your word document resume, passport number, work authorization, expected hourly pay rate, current location, availability for onsite work , skill stack and LinkedIn.

Technical Skills

Must Have

ANSI SQL

Microsoft Excel

Relational Database Management System (RDBMS)

Cloud Snowflake Database

Job Summary

Data Engineer

GENERAL FUNCTION:

The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large (i.e. Big Data) scales. These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
• Responsible for design, Development, and Support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
• Work closely with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions for the Bank.
• Act as a technical Expert addressing problems related to system and application design, performance, integration, security, etc.
• Conduct research and Development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.
• Work with developers to Build CI/CD pipelines, Self-service Build tools, and automated deployment processes.
• Evaluate software products and Provide documented recommendations as needed.
• Provide Support and troubleshooting for data platforms. Must be willing to Provide escalated on-call Support for complicated and/or critical incidents.- Participate in the planning process for hardware and software.
• Plan and work on internal projects as needed, including legacy system replacement, Monitoring and analytics improvements, tool Development, and technical documentation.
• Provide technical guidance and mentoring for other team members.
• Manage and prioritize multiple assignments.

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
• Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.- Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.
• Fundamental understanding of distributed computing principles
• Knowledge of application and data security concepts, best practices, and common vulnerabilities.
• Conceptual understanding of one or more of the following disciplines preferred big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.