
Mgneto Resource Management
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Proficient in working with systems infrastructure, creating, querying, and manipulating databases, APIs, and integrations.
Deep expertise and hands-on experience with Web Applications and programming languages such as HTML, CSS, JavaScript, JQuery, and API's.
SKILLs
Required Technical Experience: Frontend code (HTML5/CSS, ReactJS, D3JS) and web stack back-end technologies (.net Core, NodeJs), MongoDB, Docker, Git, Jenkins
Preferred Technical Experience: React/ Redux/Hook, GraphQL, HANA-SQL, Redis, Golang, Kafka, etc.
Implement Security OAuth/JWT solutions for the different API Scenarios
Deep functional knowledge or hands-on design experience with Micro-service is needed to be successful in this position. Also, the candidate should have a sound understanding of CI/CD processes, agile development, possess a deep understanding of programming fundamentals, and can learn new frameworks, languages, and tools required on projects.

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Understand various raw data input formats, build consumers on Kafka/ksqldb for them and ingest large amounts of raw data into Flink and Spark.
Conduct complex data analysis and report on results.
Build various aggregation streams for data and convert raw data into various logical processing streams.
Build algorithms to integrate multiple sources of data and create a unified data model from all the sources.
Build a unified data model on both SQL and NO-SQL databases to act as data sink.
Communicate the designs effectively with the fullstack engineering team for development.
Explore machine learning models that can be fitted on top of the data pipelines.
Mandatory Qualifications Skills:
Deep knowledge of Scala and Java programming languages is mandatory
Strong background in streaming data frameworks (Apache Flink, Apache Spark) is mandatory
Good understanding and hands on skills on streaming messaging platforms such as Kafka
Familiarity with R, C and Python is an asset
Analytical mind and business acumen with strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills

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•Development experience with object oriented JavaScript, ES6 Features
•Development experience with nodejs libraries like express, MySql, mongoose etc,
•Understanding the nature of asynchronous programming
•Hands on experience with MySql, MongoDB [RDBMS, No SQL DB]
•Able to write complex MySql queries, Stored procedure
•Familiarity with API optimization techniques
•Collaborating with front-end developers on the integration of elements.
•Must have knowledge of GIT, POSTMAN
•Good to have knowledge of KAFKA, REDIS

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This should include making responsive UIs to efficiently query data and also manage states in an optimized manner.
•Native Android and IOS: To build custom Flutter Packages.
•Firebase: Should have experience with Cloud Firestore, Push Notifications, Cloud Functions, and Analytics.
•Adobe XD: Should know how to use Adobe XD to use the design file and use it to build the app.
•Git: To manage and collaborate in different projects with the rest of the team.
•Familiarity with RESTful APIs and mobile libraries for networking
Familiarity with the JSON format
Experience with profiling and debugging mobile applications.

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•Able to work with creating complex logics for the manipulation of DOM as well for binding.
•Should know how to work with HTTP calls in Angular.
•Experience working with Micro frontend angular applications is added advantage
•Should be able to get a fast grip of the requirements and must be able to create the UI/UX accordingly.
•Collaborating techniques with back-end developers as well the client users is a must.
•Should be very familiar with versioning systems such as git or Azure DevOps
•Should be efficient in writing CSS styling.
•Good to have knowledge of CSS styling, agile methodology.

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Skills Required (Knowledge and Skills)
SAP Fiori UI5
OData service
HTML5
CSS3
Java Script
Angular, Node (Not Mandatory, Added advantage)

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The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment

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Preferred Technical Experience: React JS

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