ENVIRONMENT: THE technical expertise of talented Data Architect with a passion for advancing Public Health sequence formats (FASTQ etc.). Understanding of data storage (S3-Buckets). Experience with validation
the Mid telescope astronomy pipelines and other data analysis products, such as QA matrices. Responsibilities enhance telescope data processing software and products. Document and test pipeline and data processing software deployments. Handle system incidents and support data processing pipelines. Engage in planning and continuous integration activities. Represent data processing interests at international meetings. Adhere to organizational release, and support of scientific software or data analytics projects. Scientific software development
request is not captured already. Create the initial record for and accurately capture any reported incident call categories, severities, etc.). Accurately capture all information pertaining to resolution-attempts
maintaining the telescope astronomy pipelines and other data analysis products such as the QA matrix. The engineer improve data processing telescope software and data products. Document and test pipeline and data processing system incidents and provide support for telescope data processing pipelines and software. Participate in providing regular operations support for the telescope's data processing capability. Establish, maintain, and integration activities and events, representing data processing interests and issues. Represent the organization
Developers. Data scripts and imports – Create and manage RTM data scripts. Import new data sources from from scratch. End-to-end Management of new data sources. Create client CMD. Innovative contribution and processes and efficiencies through ongoing development. Data extraction – Develop new extracts with complete locations. Data Ingestion – Clean data that is sent to suppliers' global portals for internal analytics Back-end Development. Build data hygiene reports and dashboards. Build data mapping reports and dashboards
quality code through peer reviews, maintaining internal and external documentation and identifying and Customers, Developers and Internal Operation teams. Work on business projects, internal tech projects, changes quality code through peer reviews, maintaining internal and external documentation and identifying and React, TypeScript. Backend: Python, TypeScript, PHP. Data: MongoDB, PostgreSQL, MySQL. Infra: AWS Lambda,
products. Market research and concept development with sales & NPD departments to determine opportunities information and technical support to marketing, QA and sales teams to facilitate flawless launch. Specification to international standards. Facilitate required growth to supply relevant markets – ensure sales team and opportunities in strategic markets. Work with sales to cost grocery products and deliver a commercially in drawing up/maintenance of contracts. Ensure sales team are equipped with full product knowledge to
products. Market research and concept development with sales & NPD departments to determine opportunities information and technical support to marketing, QA and sales teams to facilitate flawless launch. Specification to international standards. Facilitate required growth to supply relevant markets – ensure sales team and opportunities in strategic markets. Work with sales to cost grocery products and deliver a commercially in drawing up/maintenance of contracts. Ensure sales team are equipped with full product knowledge to
cause of issues and communicate appropriately to internal and external customers. Train, coach and mentor backup support. Interact with internal and external customers. Provide data and reporting of trends to the
include Data Lake/Warehouse implementations, preferably both on premise and in the cloud, data design refine BI technical requirements with regards to - Data Modelling requirements (reporting and business dimensions) requirements. Work closely with the BI Data Architect(s) and Data Modeller(s) to design and implement BI BI solutions. Perform Functional Testing and data validation of reports and other BI deliverables before and immediately after “go-live”. Provide input to Data Governance and BI Quality Assurance initiatives