| Position: Senior Azure Cloud Engineer with Pharma/BioSciences Domain experience Work Location: 100% Remote (Must work on EST Time Zone hours) Duration: Long Term at Remote, Remote, USA |
| Email: [email protected] |
| Position: Senior Azure Cloud Engineer with Pharma/BioSciences Domain experience Work Location: 100% Remote (Must work on EST Time Zone hours) Duration: Long Term Resource MUST provide LinkedIn ; Professional References ; Valid Photo ID Purpose of the Position: As a Senior Cloud Data Engineer, partner with client technical team for Data Modelling and Data Engineering of their current needs. This position enables Client to shorten the Data Retrieval and Ingestion cycle and help build insightful analytics for Clients care staff. Requires enthusiastic about data and drive to help in organization's AI & Analytics challenges. Will help on their data and analytics, by building data pipelines, improving consistency, and building the necessary infrastructure to support analytics platform. Technical Experience Required: o At least 12 years of Data Engineer experience with minimum of 6 - 8 years experience on Azure Cloud Migration (mandatory). o Extensive experience in designing and developing complex Data & Analytics solutions o Hands-on experience with Azure Cloud Platform specifically using Azure SQL Data Warehouse/DB, Azure Data Factory, Azure Data Lake Store/Blob, Azure Synapse, Databricks. o Strong expertise in Data Modelling and creating scalable data architecture. o Strong technical leadership is a must. o Must have strong experience with programming languages Python, and Java. o Working knowledge on Architecture design, Modelling, prototyping, and benchmarking of Enterprise Datawarehouse solutions. o Ability to collaborate with the Lucina technical team in understanding the data sources for integration needs and creating reusable adapters. o Should have Health Care or Pharma background with working knowledge on PHI Data. o Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity o In depth knowledge of key cloud services for data integration, BI and data processing services. o In depth knowledge of cloud storage services & compute services. o Knowledge of containerization services such as Dockers and its orchestration through Kubernetes. o Experience with or knowledge of Agile Software Development methodologies. o Understanding of other cloud and data engineering concepts in AWS/ GCP highly desired. o BS Degree in IT, MIS or business-related functional discipline. o Excellent analytical, presentation, reporting, documentation and interactive skills. -- Keywords: artificial intelligence business intelligence database information technology Idaho |
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| Mon Aug 21 21:41:00 UTC 2023 |