| Data Architect at Remote, Remote, USA |
| Email: [email protected] |
| From: supriya, Nitya Software Solutions [email protected] Reply to: [email protected] Hi, Hope you are doing great.! This is Supriya from Nitya Software Solutions Inc; This mail is regarding the job opportunity. Please let me know if you are interested and available for the below position. If you are interested, Please share your updated resume to [email protected] or you can reach me at 8017834423. I would appreciate if you can refer someone for this position. Required Technical and Professional Expertise At least 5 years of professional experience in data architecture Experience with Data Lakehouse, Data Fabric, and Data Mesh concepts Solution Architecture with focus on Big Data; Requirements capture, conceptual and contextual architectures, technology selection, detailed design, and planning Data Fabric/Mesh/Lakehouse knowledge or other data implementation experience Strong knowledge in ETL methods and tools Experience with data architecture, data modeling, schema design, and development Good understanding of at least one coding language (e.g. Python, Scala, etc) Knowledge in Apache Spark, and/or Databricks Knowledge and experience working with SQL and databases Knowledge and experience working with Kafka Experience and knowledge working with AWS or Azure (certified practitioner preferred) Excellent communication skills with the ability to convey complex, technical information in an understandable manner Ability to logically troubleshoot issues, determine root causes, and present suggested solutions clearly and concisely Ability to handle competing priorities flexibly and address each in an effective and timely manner in a fast-paced working environment Experience with Pharma - Clinical and Commercial Experience and knowledge working with Data Catalogs (e.g. Collibra, Allation) Experience working with Data Warehouse technologies (e.g. Redshift, Snowflake) The Data Solution Architect will be responsible for: Requirements capture (functional, and non-functional) Designing technical solution for data including data ingestion, integration, transformations, and storage Help design data management and data governance implementations Develop and recommend modern architecture components in support of data catalogs, data governance, data pipelines, and data storage for consumption by data analysts and data scientists Successfully implement the recommended data architecture for a given use case Keywords: |
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| Tue Sep 26 00:58:00 UTC 2023 |