| Data Engineer - California(Remote) at California, Maryland, USA |
| Email: [email protected] |
| From: Nandini, Avance [email protected] Reply to: [email protected] Senior Analyst California Build and maintain data models and data/solution pipelines to cater to analytical applications Work in a technical team through development, deployment, and application of applied, predictive and prescriptive analyticsusing data engineering, machine learning engineering and artificial intelligence. Design andoptimizedata structures in data management systems (Snowflake,GCP, HANA) toenablereporting analytics using Tableau/Power BI as well as AI/ML solutions. Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model How To Qualify: Technical Degree required. B.S or M.S in Computer Science, Business Analytics, Engineering Understanding of Data Engineering/processing, Business Intelligence and Advanced analytics using Teamcenter data Thorough understanding of the back-end models for Teamcenter 8+ years of strong working knowledge of databases (Snowflake,MS-SQL, SAP HANA) 5+ yearsbuilding scalableETLpipelines with data processing and/or developing applications and data sources. Experience with the back-end data structures, tables, relationships, E-R relationship of Teamcenter and translating them to data warehouse constructs. Ability to define & build hierarchical relationships of Product Lifecycle Management like BOM, etc. in data warehouse like Snowflake. Communicate effectively with stakeholders regarding all facets of data warehousing solutions pertaining to PLM Teamcenter. Ability to architect & develop solutions pertaining to attributes, relationships for master data including slowly changing dimensions. Ability to architect & develop data-warehousing solutions for extended Product Lifecycle Management encompassing production cycle definitions of products, equipment, facilities, etc. Familiarity with the integration of Teamcenter & SAP as related to data warehousing solutions. Various phases of Unit, Integration & User Acceptance testing Familiarity with software architecture (data structures, data schemas, etc.) Software development skills and knowledge in Cloud based data engineering. CI/CD pipelines including ADO repos Experience with various frameworks and processes, such as Agile (Scrum, Kanban, etc.) Outstanding analytical thinking, interpersonal, oral, and written communication skills. Proficiency in the Microsoft Office suite Ability to prioritize and meet critical project timelines in a fast-paced environment. Self-motivated and team-oriented Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence rlang microsoft Data Engineer - California(Remote) [email protected] |
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| Thu Oct 03 02:35:00 UTC 2024 |