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Data Mesh Architect NJ-onsite day 1 at Day, New York, USA
Email: [email protected]
From:

sravani,

Nitya INC

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Data Mesh Architect

NJ-onsite day 1

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: New Jersey
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Fri Sep 22 20:19:00 UTC 2023

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