C2H- Data Engineer ( Only Local) Onsite
Title:
Data EngineerLocation:
Cincinnati-OhDuration:
Long TermPosition Type:
C2HireRate - $ 70OnsiteBe willing to come into the Madisonville office (currently hybrid 3-4 days a week, subject to change).
Contract to hire - must be hirable, not able to sponsor.
Strong data engineering fundamentals and proficient in SQL.
Be a team player in a highly collaborative environment.
Looking for someone who is a good problem solver that can be given a data problem and have the mindset to solve/solution the design.
Work with the agile squad to design and develop the solution in cloud technology:
Snowflake.
Data sourcing, data movement, data integration and ETL.
Understand data sources and consumption for the entire organization to improve efficiency, consistency and provide complete and accurate data for application consumption and reporting.
Data EngineerGENERAL 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.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined.
Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience.
While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
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.
- 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.
SUPERVISORY RESPONSIBLITIES:
NoneMINIMUM 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, major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
C2H- Data Engineer ( Only Local) Onsite Recommended Skills Api Agile Methodology Application Design Architecture Automation Big Data Estimated Salary: $20 to $28 per hour based on qualifications.
Data EngineerLocation:
Cincinnati-OhDuration:
Long TermPosition Type:
C2HireRate - $ 70OnsiteBe willing to come into the Madisonville office (currently hybrid 3-4 days a week, subject to change).
Contract to hire - must be hirable, not able to sponsor.
Strong data engineering fundamentals and proficient in SQL.
Be a team player in a highly collaborative environment.
Looking for someone who is a good problem solver that can be given a data problem and have the mindset to solve/solution the design.
Work with the agile squad to design and develop the solution in cloud technology:
Snowflake.
Data sourcing, data movement, data integration and ETL.
Understand data sources and consumption for the entire organization to improve efficiency, consistency and provide complete and accurate data for application consumption and reporting.
Data EngineerGENERAL 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.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined.
Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience.
While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
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.
- 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.
SUPERVISORY RESPONSIBLITIES:
NoneMINIMUM 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, major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
C2H- Data Engineer ( Only Local) Onsite Recommended Skills Api Agile Methodology Application Design Architecture Automation Big Data Estimated Salary: $20 to $28 per hour based on qualifications.
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