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Conferences (recently attended by Praxis employees): AWS Summit, IoT World, Black Hat and DefCon. Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum list of certifications goes on and on.
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Hands-on experience of design and implementation of data warehousing solutions on cloud platforms - specifically data ingestion, integration and transformation; reporting applications; custom analytics; data migration from on-prem to cloud infrastructure; cloud storage architecture.
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We need a (10yrs +) Data Architect who is good with Data analytics and Data strategies and not a Big Data Architect. Responsibilities: Works on establishing metadata management, data catalogs, data standards, and best practices for Master Data Management.
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The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Enterprise Architect III plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Hands on experience with Extraction Transformation and Load (ETL) tools (e.g. SAP Data Services), data profiling tools and processes. The solution architect will be called upon to provide hands on support in the development of data solutions.
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The Solution Architect's primary responsibilities include developing data architecture strategy, data integration strategy, developing data reference models, leading data architecture evaluations, assessing impact of change to data architectures, data models, messaging models, and developing a master data management strategy.
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Familiarity with big data technologies such as Spark/Scala and API management using APIGEE. Proven experience with any AWS services (ECREMRECS/Batch/Lambda)Hands- on experience with Docker and containerization practices.
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