Contributing Data Ops member of the Transportation Analytics team to drive the development, deployment and support of data analytics pipelines to support our transformation to an event / micro-services based architecture in the cloud.
Leveraging gained and / or educational experiences in operations engineering, connected services, and information technology plus knowledge of industry best practices to innovate and influence operational approaches and solutions in traditional data centers and in the cloud.
Designing optimized cloud infrastructure to automate and accelerate data processing for analytics, reporting, and machine learning.
ESSENTIAL DUTIES & RESPONSIBILITIES :
Development and implementation of public / private / hybrid cloud based information systems across all phases of system engineering from provisioning to decommissioning
Development, and continual improvement of source code management / build and release systems and tools
Develop automated pipelines, processes & scripts to support the deployment of technology solutions in cloud environments
Influence design decisions in micro-services based applications in AWS
Follow through on implementation and deliveries from development to operationalization
Participate in problem solving and troubleshooting of infrastructure and applications as needed
Access and Integrate information / data from a variety of sources and bring it together into a structured environment for modeling solutions analytics and reporting.
Develop, maintain, and tune varying complex databases to ensure availability and integrity of data.
Automate integrations between data sources and processes to expedite availability of information, consistency in results, and minimize the cost structure to support the environment.
Deploy lightweight applications for moderately skilled users to be able to access the underlying data in a self-service nature for ad-hoc information requests.
Develop and automate the delivery of standardized reporting and dashboards to be used in Executive level presentations or distributed via email / mobile to end users
Partner with the leadership team and the broader business community to stay abreast of current business concerns, potential opportunities, and information needs.
Employ a variety of analytical techniques to discover, identify, and conclude analysis both reactively to leadership requests and proactively based on our own curiosity / desire to move the business
Define and document core business metrics, definitions, and logic collaborating with the business teams
Maintain knowledge and stay current of developments in the fields of technology, business intelligence, data warehousing, data science, and emerging technologies (machine learning, AI, etc.)