Cloud AWS Engineer at Stefanini Group

• Understand technology vision and strategic direction of business needs
• Understand our current data model and infrastructure, proactively identify gaps, areas for improvement, and prescribe architectural recommendations with a focus on performance and accessibility.
• Partner across engineering teams to design, build, and support the next generation of our analytics systems.
• Partner with business and analytics teams to understand specific requirements for data systems to support both development and deployment of data workloads ranging from Tableau reports to ad hoc analyses.
• Own and develop architecture supporting the translation of analytical questions into effective reports that drive business action.
• Automate and optimize existing data processing workloads by recognizing patterns of data and technology usage and implementing solutions.
• Solid grasp of the intersection between analytics and engineering while maintaining a proactive approach to assure solutions demonstrate high levels of performance, privacy, security, scalability, and reliability upon deployment.
• Provide guidance to partners on effective use of the database management systems (DBMS) platform through collaboration, documentation, and associated standard methodologies.
• Design and 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
• Design integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products
• Participate in developing solutions by incorporating cloud native and 3rd party vendor products
• 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.
• Develop data streaming, migration and replication solutions
• Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic and influencing skills to gain consensus and produce the best solutions.

• Demonstrates mutual respect, embraces diversity, and acts with authenticity
• Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred
• Seven or more years of experience in designing and building large-scale solutions in an enterprise setting in both
• Three years in designing and building solutions in the cloud
• Expertise in building and maintaining Sagemaker infrastructure while deploying AWS Sagemaker components using Terraform as Infrastructure as Code
• Work closely with Data Scientists to ensure seamless deployment of Jupyter notebooks
• Deep SQL expertise, data modeling, and experience with data governance in relational databases
• Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologies
• Refined skills using one or more scripting languages (e.g., Python, bash, etc.)
• Experience using ETL/ELT tools and technologies such as Talend, Informatica a plus
• Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind
• Expertise in relational and dimensional data modeling
• UNIX admin and general server administration experience required
• Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus
• Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus
• Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members
• Experience with leveraging CI/CD pipelines
• Experience with Agile methodologies and able to work in an Agile manner is preferred
• One or more cloud certifications.

Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.

About Stefanini Group:

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