Lead Data Engineer
Posted on :
20-09-2023
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Jobs by Experience
5years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Posted on :
20-09-2023
Job Description
Job Title: Lead Data Engineer
Location: Cincinnati OH (Candidate needs to work onsite 3 days a week).
Duration: 10 months+
Job Description:
- At least 10 years of related experience, including at least 8-9 years in a hands-on software development role.
- Significant experience with at least one major RDBMS product.
- Experience working with and supporting Unix/Linux and Windows systems.
- Proficient in relational database modeling concepts and techniques.
- Solid conceptual understanding of distributed computing principles.
- Data-stage ETL, Data Strategy (import or export based on the use case), Field Mapping, PPRC (Taxonomy) build out and design w/consulting partner who can also help with data visualization, trending, and reporting capabilities.
- Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
- Experience in 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.
- Financial industry experience is a plus.
- Part of a team building out a comprehensive GRC (governance, risk, and compliance) program on the software platform, Archer from RSA (Windows & SQL Server).
- 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.
- 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.
Responsibilities:
- 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 Banks risk appetite, it achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
Software Development role, RDBMS product, Relational Database modeling, Data stage ETL, Data Strategy.
Employment Type
Full Time
Key Skills
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