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Kafka Kubernetes Docker Experince Hive Spark Python Architect
(Jobs in Atlanta, G
 
Requirement id 105473
Job title Architect
Job location in Atlanta, GA
Skills required Kafka, Kubernetes, SQL, Docker Experince Hive Spark Python
Open Date 03-Apr-2020
Close Date
Job type Contract
Duration 5 Months
Compensation DOE
Status requirement ---
Job interview type ---
Apply
   Email Recruiter: coolsoft
Job Description Architect: Kafka, Kubernetes, SQL, Docker Experince Hive Spark Python

Candidate must be our W2 Employee.

Job Description :

JOB DESCRIPTION:

Ensure that business and technology are in alignment by linking the business mission, strategy, and processes of an organization to its technology strategy, documenting this using multiple architectural models, and elaborating how the current and future needs of an organization will be met in an efficient, sustainable, and adaptable manner. Architects are also responsible for cataloging, developing, coordinating, communicating, maintaining, and enforcing overall enterprise architecture models, representations, initiatives, capabilities, and components to adequately perform the organizations business and technology activities. You will establish an enterprise architecture to support a large technology transformation across existing applications and environments You have the ability to work within pressurized environments whilst making critical decisions You can successfully work with Product Architects to define technical architecture for products You will be responsible for signs off on final design approaches Strong knowledge of EA design patterns and principles Definition, implementation, and execution of the processes for the definition, maintenance, and conformance of the Enterprise Architecture. Update and maintain the key Enterprise Architecture deliverables. Architectural leadership Ongoing research and assessment of new approaches for potential use within the Enterprise. Developing and updating/enhancing the Enterprise Architecture Machine learning - creating algorithms that can analyze big data sets and identify trends and patterns. These algorithms learn by using past results to improve future performance. Natural language processing (NLP), getting humans and computers to talk to each other, turning unstructured data into structured data, and vice versa. AI programming and integration skills Creation of strategies, best practices, patterns, reference architectures, and reference implementations Ability to write code in Java and Python Knowledge on basics of math and probability and strong knowledge in algorithms and statistics Experience of working in frameworks, Prefer Machine Learning Scientist background Proven understanding of the real-world advantages and drawbacks of various machine learning techniques and products. Hands-on experience with accessing data with: Python, machine learning libraries, and deep learning libraries(e.g., tensorflow, opencv, scikit-learn, numpy, pandas, scipy, SQL, hive, spark). Experience with mathematical, statistical, and scientific modeling skills Experience in segmentation building, predictive analytics, and statistical modeling Defines how data is acquired, stored, processed, distributed, and consumed. Develop, optimize and oversee conceptual and logical data systems. Examine new data system requirements and implement migration models Design and implement effective database solutions and models to store and retrieve large amounts of data. Examine and identify database structural necessities by evaluating client operations, applications, and programming. Accurate database design and architecture reports Monitor system performance by performing regular tests, troubleshooting and integrating new features. Current on data security best practices and techniques Messaging Platform Architect Expert-level knowledge of streaming, event driven architecture, event sourcing, CQRS and related patterns and technology Event/stream management both on prem and in the cloud Experience with various message brokers and streaming platforms, and awareness of functional differences, e.g. Kafka, RabbitMQ, Kinesis, SNS/SQS, GCP Cloud Pub-Sub. Expert-level knowledge of containerization (Docker) and Kubernetes Expertize with messaging and serialization formats including JSON, XML, Avro, Demonstrated expertise with message brokers such as Kafka and containerization tooling such as Docker and Kubernetes
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 105473 while calling.
 
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(Architect: Kafka, Kubernetes, SQL, Docker Experince Hive Spark Python in Atlanta, GA)
     
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