Stefanini

Details:

Stefanini Group is hiring!

Stefanini is looking for a Cloud AWS Engineer in EST/CST (Hybrid, later Onsite)

For quick apply, please connect with Ayush Dwivedi ; Ph: 248 728 2636/ Ayush.dwivedi@stefanini.com

W2 Only!

Role Overview:

The Enterprise Data Services team has an immediate opening for a Cloud Data Engineer. Our team delivers a centralized data and analytics platform that provides advanced data migration and analytics solutions for our bank district customers. We work with state-of-the-art technologies that are part of the next generation data ecosystem, which includes tools used for data storage, data processing, data integration, data lakes, data warehousing, and data analytics. You will work cross-functionally with Data Architects, Product Owners, Design Engineers, Developers and Business Analysts in a rapidly evolving environment, identifying solutions, building, and implementing Infrastructure as Code using our CI/CD pipeline. As part of the IT team, our Enterprise Data Services team is partnered with multiple business lines, our Board of Governors and other IT groups within the client's System. You will have an opportunity to showcase your critical thinking and technical skills across many disciplines. This role will be instrumental in shaping the development and support of our product roadmaps and will advance our cloud data analytics platforms.

What You Will Do:

• Understand technology vision and strategic direction of business needs
• Develop product roadmaps in alignment with other data products and business roadmaps
• Design integrated solution in alignment with design patterns, blueprints, guidelines, and standard methodologies for products
• Participate in defining technical requirements that outlines solution for enabling data analytics within an AWS cloud environment.
• Participate in developing architecture and design conceptual solutions by incorporating cloud native and 3rd party vendor products
• Provide analysis of current state, future state, and define key outcomes for an IT data platform strategy.
• Participate in research and perform POCs (proofs of concept) with emerging technologies and adopt industry best practices in the data space for advancing the cloud data platform
• Demonstrate automation through Infrastructure as a code to increase build efficiency in the cloud
• Develop scripting to integrate multiple data sources to data and analytics platform
• Build platform supporting rehydration and HA
• Build end to end automation to support and maintain software currency
• Create automation services for builds using Terraform, Python, and OS shell scripts.
• Develop validation and certification process through automation tools
• Develop multi-layered build, installation, configuration, patching, regression testing, and rollback scripts in each environment.
• Integrate platforms to form a cohesive data mesh and help democratize data
• Create patching process to compare different versions of the configuration settings.
• Provide consulting and guidance on business solution development in the data and analytics space and cloud technologies
• Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic and influencing skills to gain consensus and produce the best solutions.
• Engage with Senior leadership, business leaders at the client to share the business value.
• Promote collaboration across business and IT organizations

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