Vacancy expired!
We have an exciting opportunity for a AWS Data Engineer with our industry-leading client in Irving, TX.
This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits packageResponsibilities:- Drive the maintenance of systems, creation of technical designs, development, and deployment of front-end and/or back-end systems, integration of the data warehouse with enterprise applications, and/or implementation of user access controls and data security measures, where appropriate.
- Lead daily operational activities and measure process quality and compliance.
- Identify, evaluate, and implement automation and continuous improvement ideas supporting ITIL-aligned processes to address technical debt.
- Manage the creation and implementation of solutions or enhancements to improve overall data architecture; conduct research and make recommendations on new data management processes and innovations.
- Engage business users, process owners, architecture, and application teams to define and understand data needs to achieve key performance indicators and service level agreements that benefit and its objectives.
- Drive creation of policies, standards, guidelines, and procedures that mitigate risk and optimize performance in order to ensure data is available, responsive, and achieving business outcomes and objectives.
- Approach development with a test-driven mindset, utilizing well-structured unit tests.
- Analyze code for non-standard practices, errors, and security vulnerabilities and present detailed plans to improve and transform the code to optimize performance and ease of use.
- Manage cross-team initiatives related to the platforms supported by the team.
- Apply the value drivers for to deliver innovative value creation ideas.
- Identify opportunities to increase the adoption and communication of TS processes through training and engagement.
- Participate in agile ceremonies.
- Provide domain guidance to less experienced team members.
- Apply understanding of financial principles impacting the applications supported by the team and contribute to the business case development for new ideas.
- 10-12 years professional experience in a technology or business field
- AWS Associate level certifications is required.
- Proven experience in building DevOps data ingestion pipelines, ML model operations on AWS Platform with Kubernetes and Docker containers
- Proven experience in DevOps automation in the Data and Analytics subject areas (Containerization, API management, Server-less cloud solutions)
- Experience managing and delivering MLOps initiatives related to the platforms supported by the team.
- Experience driving the maintenance of systems, creation of technical designs, and development and deployment of front-end and/or back-end systems.
- Demonstrated hand-on experience with Python programming in Data and Analytics
- Ability to learn quickly, be self-motivated to improve knowledge and tackle new challenges
- Superior organizational skill, communication skills, and attention to detail required
- Skilled at creating executive-level communications and presenting to and interacting with leaders
- Must demonstrate an energetic, hands-on, enthusiastic, results-oriented approach as a team player, capable of adding significant value to the existing team.
- Must be comfortable sharing ideas and finding innovative ways to resolve challenges.
- Proven ability to build support among peers and create relationships with peers and stakeholders
Vacancy expired!