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· Prior experience of statistical modelling techniques, AI/ML models etc. will be value add
· Working knowledge of reporting packages (Business Objects, QLIK Power BI etc.), ETL frameworks will be an advantage.
· Knowledge of statistics and experience using statistical packages for analysing datasets (MS Excel, SPSS, SAS etc.)
· Experience on Python, R and other scripting languages is desirable, but not must
Key Responsibilities: -
• Counsel students and parents on academic programs, courses, and career
pathways.
• Understand student requirements and recommend suitable courses or programs.
• Handle inquiries via calls, emails, WhatsApp, and walk-ins.
• Assist students with the admission and enrolment process.
• Maintain accurate records of student interactions in CRM/ERP systems.
• Follow up with prospective students to ensure conversion and enrolment.
• Coordinate with academic and operations teams for smooth onboarding.
• Provide ongoing academic guidance and address student concerns.
• Meet assigned counselling and enrolment targets.
• Participate in seminars, webinars, and career guidance sessions.
Required Skills & Qualifications: -
• Graduate/Postgraduate in any discipline (Education background preferred), MBA,
Psychology, BBA
• Strong communication and interpersonal skills.
• Ability to understand student needs and provide appropriate guidance.
• Basic knowledge of academic programs, career options, and admissions
processes.
• Proficiency in MS Office and CRM tools.
• Target-driven with a student-centric approach.
Be hands-on with describing business rules as technical artifacts for analysts, business product managers, and any functional team that depends on this information
Proficiency with full stack development preferably React, Java, springboot, python. Perform unit tests, resolve bugs and be responsible for the delivery of the project to production
Be a thought leader in bringing the GenAI capabilities to Visa's product development
Be comfortable looking at system logs when needed and identifying bugs when they might appear during course of analysis
Discuss technical implementation details with architects and other technical teams
Collaborate with engineering teams to build robust, reliable, and scalable platforms
Synthesize requirements into a common set of platform and services capabilities
Candidates will be responsible for value proposition definition, communications across technical, business and product functions, cost/benefit analysis, and executive presentations
Partner with business operations and analytics team to build right monitoring capabilities and metrics which helps monitor the health of the platform and facilitates data driven decision making
Define product requirements which involve writing clear, thorough, and detailed user stories for complex features and product sets
Be the primary liaison between business units, business product managers, engineering, and other applicable groups to ensure flawless integration of new and existing feature sets
Highly execution focused by working in conjunction with various counterparts across functions
Ensure product vision and requirements are designed with long-term vision in mind and can be launched globally with minimal tweaks
Work closely with senior leadership providing status, action plan and recommendations
Job Description
Role: Sr. DevOps – Architect
Location: Bangalore
Who are we looking for?
A senior level DevOps consultant with deep DevOps related expertise. The Individual should be passionate about technology and demonstrate depth and breadth of expertise in similar roles and Enterprise Systems/Enterprise Architecture Frameworks;
Technical Skills:
• 8+ years of relevant DevOps /Operations/Development experience working under Agile DevOps culture on large scale distributed systems.
• Experience in building a DevOps platform in integrating DevOps tool chain using REST/SOAP/ESB technologies.
• Required hands on programming skills on developing automation modules using one of these scripting languages Python/Perl/Ruby/Bash
• Require hands on experience with public cloud such as AWS, Azure, Openstack, Pivotal Cloud Foundry etc though Azure experience is must.
• Experience in working more than one of the configuration management tools like Chef/Puppet/Ansible and building own cookbook/manifest is required.
• Experience with Docker and Kubernetes.
• Experience in Building CI/CD pipelines using any of the continuous integration tools like Jenkins, Bamboo etc.
• Experience with planning tools like Jira, Rally etc.
• Hands on experience on continuous integration and build tools like (Jenkins, Bamboo, CruiseControl etc.) along with version control system like (GIT, SVN, GITHUB, TFS etc.), build automation tools like Maven/Gradle/ANT and dependency management tools like Artifactory/Nexus.
• Experience with more than one deployment automation tools like IBM urban code, CA automic, XL Deploy etc.
• Experience on setting up and managing DevOps tools on Repository, Monitoring, Log Analysis etc. using tools like (New Relic, Splunk, App Dynamics etc.)
• Understanding of Applications, Networking and Open source tools.
• Experience on security side of DevOps i.e. DevSecOps
• Good to have understanding of Micro services architecture.
• Experience working with remote/offshore teams is a huge plus
• Experience in building a Dashboard based on latest JS technologies like NodeJS
• Experience with NoSQL database like MongoDB
• Experience in working with REST APIs
• Experience with tools like NPM, Gulp
Process Skills:
• Ability in performing rapid assessments of clients’ internal technology landscape and targeting use cases and deployment targets
• Develop and create program blueprint, case study, supporting technical documentations for DevOps to be commercialized and duplicate work across different business customers
• Compile, deliver, and evangelize roadmaps that guide the evolution of services
• Grasp and communicate big-picture enterprise-wide issues to team
• Experience working in an Agile / Scrum / SAFe environment preferred
Behavioral Skills :
• Should have directly worked on creating enterprise level operating models, architecture options
• Model as-is and to-be architectures based on business requirements
• Good communication & presentation skills
• Self-driven + Disciplined + Organized + Result Oriented + Focused & Passionate about work
• Flexible for short term travel
Primary Duties / Responsibilities:
• Build Automations and modules for DevOps platform
• Build integrations between various DevOps tools
• Interface with another teams to provide support and understand the overall vision of the transformation platform.
• Understand the customer deployment scenarios, and Continuously improve and update the platform based on agile requirements.
• Preparing HLDs and LLDs.
• Presenting status to leadership and key stakeholders at regular intervals
Qualification:
• Somebody who has at least 12+ years of work experience in software development.
• 5+ years industry experience in DevOps architecture related to Continuous Integration/Delivery solutions, Platform Automation including technology consulting experience
• Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college
Experience Level : 5 – 6 Yrs.
Test Automation skills and experience
Ability to Automate test scripts through the following frameworks and skills
Robot Framework
Python
Selenium (optional)
Experience in working through JIRA tool for Testing and Automation
Experience in working through any IDE (Integrated Development Environment) for developing/executing/debugging for Automation scripts
Good experience over Protocols such as TCP/IP, SSH, UDP
Wireless network domain experience (preferred)
Worked in Wireless Network Security (preferred)
Experiences in networking logs (PCAPs) analysis through Wireshark tool is highly preferred
Basic to intermediate knowledge of Linux/unix Shell scripts skills preferred
FRONTEND DEVELOPER
ROLES AND RESPONSIBILITIES:
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Determining the structure and design of web pages.
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Ensuring user experience determines design choices.
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Developing features to enhance the user experience.
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Striking a balance between functional and aesthetic design.
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Ensuring web design is optimized for smartphones.
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Building reusable code for future use.
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Optimizing web pages for maximum speed and scalability.
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Utilizing a variety of markup languages to write web pages.
REQUIREMENTS:
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1+ years of experience in related field
- Solid understanding of how the web works and its underlying communication protocols.
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Understanding of key design principles.
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Proficiency in HTML, CSS, JavaScript(ES5 & ES6)
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Knowledge of JavaScript framework React.js
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Experience with responsive and adaptive design.
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Understanding of SEO principles.
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Good problem-solving skills.
- Relevant domain experience in Sales & Distribution SAP SD / SAP LE (Sales Order processing, Pricing and Conditions, Availability check and Requirements, Credit Management, Output determination, Foreign Trade/Customs, Billing, Shipping and Transportation)
- Experience of supporting medium/large scale Support / implementation / SAP ECC on HANA .
- Worked with SAP SD and HCM.Having experience in S4 HANA implementation.
- We need people with Test complete + Python.
- It's well and good to have Test Complete knowledge but Python knowledge is mandatory.
- C# is good to have too.
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Azure, Azure AD, ADFS, Azure AD Connect, Microsoft Identity management |
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Azure, Architecture, solution designing, Subscription Design |
REQUIREMENT:
- Previous experience of working in large scale data engineering
- 4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
- Previous experience of architecting and designing backend for large scale data processing.
- Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
- Hands-on and have the ability to contribute a key portion of data engineering backend.
- Self-inspired and motivated to drive for exceptional results.
- Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
- Familiarity and experience working with different DB technologies and how to scale them.
RESPONSIBILITY:
- End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
- Build data engineering workflow for large scale data processing.
- Discover opportunities in data acquisition.
- Bring industry best practices for data engineering workflow.
- Develop data set processes for data modelling, mining and production.
- Take additional tech responsibilities for driving an initiative to completion
- Recommend ways to improve data reliability, efficiency and quality
- Goes out of their way to reduce complexity.
- Humble and outgoing - engineering cheerleaders.




