11+ Web3js Jobs in Coimbatore | Web3js Job openings in Coimbatore

Qualifications

● Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical

experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics,

Statistics, Operations Research, Management Science)

● 3+ years experience with data analysis and metrics development

● 3+ years experience analyzing and interpreting data, drawing conclusions, defining

recommended actions, and reporting results across stakeholders

● 2+ years experience writing SQL queries

● 2+ years experience scripting in Python

● Demonstrated curiosity in and excitement for Web3/blockchain technologies

● Interested in learning new technologies to solve customer needs with lots of creative freedom

● Strong communication skills and business acumen

● Self-starter, motivated by an interest for developing the best possible solutions to problems

● Experience with Google Cloud - Bigquery, DataBricks stack, DBT, Tableu, Jupyter is a plus

Role Overview:

We are seeking a Senior Consultant with deep expertise in storage and backup infrastructure, data migration strategies, and enterprise IT consulting. This individual will lead customer engagements, build methodologies, and deliver value through the ZENfra platform.

Experience in product implementation and customer support management is a strong plus, enabling this role to bridge consulting with hands-on delivery and post-deployment success.

Key Responsibilities:

Consulting & Strategy:

Engage with enterprise customers to understand their infrastructure, pain points, and transformation goals.

Design and recommend migration strategies and modernization roadmaps for storage and backup environments.

Develop reusable methodologies and frameworks tailored to customer needs.

ZENfra Enablement:

Translate customer requirements into actionable insights using the ZENfra platform.

Build and deliver ZENpacks (customized solution bundles) including reports, dashboards, and automation scripts.

Collaborate with ZENfra product and engineering teams to enhance platform capabilities based on field feedback.

Product Implementation & Support:

Lead or support ZENfra platform deployments across customer environments.

Ensure smooth onboarding, configuration, and integration of ZENfra components.

Manage customer support escalations, ensuring timely resolution and customer satisfaction.

Provide feedback to product teams to improve usability and performance.

Leadership & Delivery:

Lead and mentor a team of consultants and engineers across multiple customer engagements.

Prioritize tasks and manage delivery timelines while maintaining high customer satisfaction.

Ensure quality and consistency in deliverables across projects.

Customer Success:

Act as a trusted advisor to customers, helping them derive maximum value from VTG and ZENfra offerings.

Conduct workshops, training sessions, and executive briefings as needed.

Required Skills & Experience:

• 10+ years of experience in IT consulting with a focus on storage, backup, and data protection technologies.
• Proven experience in data centre migrations, cloud transitions, and infrastructure assessments.
• Strong leadership experience managing cross-functional teams and customer engagements.
• Hands-on experience with product implementation and customer support management.
• Excellent communication and stakeholder management skills.
• Familiarity with tools like ZENfra, ZENfra Ignite, or similar platforms is a strong plus.
• Ability to create structured reports, methodologies, and reusable assets.
• Experience working with global customers and managing multiple priorities.

Preferred Qualifications:

Certifications in storage technologies (e.g., NetApp, Dell EMC, Veritas, Commvault).

Exposure to cloud platforms (AWS, Azure, GCP) and hybrid infrastructure.

Experience with automation and scripting (Python, PowerShell) is a plus.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

Job description

We are seeking a skilled Level 1/Level 2 SAS Administrator with at least 3 years of experience to provide technical support to our US-based clients. This is an onsite role requiring availability during night shifts (US time zones). The successful candidate will be responsible for managing and maintaining SAS environments, troubleshooting technical issues, performing installations and upgrades, and ensuring optimal system performance. This role demands strong analytical and problem-solving skills to resolve complex challenges while providing proactive and reliable support.

Key Responsibilities:

• SAS Environment Management: Administer SAS servers and tools, including configuration, performance tuning, and routine maintenance of SAS applications.
• SAS Grid Management: Manage SAS Grid environments, ensuring efficient workload balancing and high availability.
• Metadata Management: Manage SAS metadata, including user account creation, role assignment, permissions, and library configuration.
• Issue Troubleshooting: Diagnose and resolve SAS server and application issues such as performance bottlenecks, user access problems, and system errors.
• System Administration: Perform SAS installations, upgrades, hotfixes, and patch management across development, testing, and production environments.
• SAS Migration & Upgrade: Plan and execute SAS environment migrations and upgrades with minimal downtime.
• Batch Job Management: Schedule and monitor batch jobs using tools such as SAS Flow Manager or LSF to ensure timely data processing and adherence to SLAs.
• Backup and Recovery: Conduct regular metadata and system backups, validate backup integrity, and manage restoration processes during disaster recovery scenarios.
• Incident Management: Manage tickets (e.g., P1, P2) for SAS-related issues using ITSM tools like ServiceNow or JIRA, ensuring timely resolution and communication updates.
• Security Management: Implement and review security policies, renew SAS licenses and SSL certificates, and conduct periodic access audits.
• Monitoring and Maintenance: Monitor SAS server health, analyze usage metrics and logs, and proactively address potential issues.
• Documentation: Develop and maintain comprehensive documentation for SAS environment configurations, troubleshooting procedures, and operational processes.

Required Qualifications:

• Minimum of 3 years of hands-on experience in SAS Administration, managing enterprise-level SAS environments.
• Expertise in SAS tools such as SAS Management Console, SAS Enterprise Guide, and SAS Studio.
• Strong understanding of operating systems (Linux/UNIX, Windows) and database systems (e.g., Teradata, Oracle, SQL).
• Experience with batch job scheduling and monitoring tools (e.g., Flow Manager, BMC Control-M).
• Proven experience troubleshooting SAS environment issues, including metadata management and performance tuning.
• Experience in SAS Grid, SAS Metadata, SAS Migration, and SAS Upgrades.
• Excellent verbal and written communication skills, with the ability to effectively interact with US-based clients.
• Willingness to work onsite during night shifts in alignment with US time zones.

If you are a dedicated SAS Administrator looking to work in a challenging and rewarding environment, we encourage you to apply.

Responsibilities

Data associates play a critical role and work on various data or content-focused projects across the organisation. The role is work from home, with a monthly in-person meet up with other team members in local region. 

• Analyze large set of unstructured data, extract insights and store in data management systems.
• Research, gather, write informational news articles and stories
• Categorize entities based on a set of rules and gained knowledge and experience, dashboard information, and validation with proprietary algorithms and data-driven heuristics.
• Analyze the market (including competitors) and ensure a rich level of data quality across all products and platforms across.
• Complete ad hoc data retrieval and analysis using relational databases, Excel and other data management systems.
• Monitor existing metrics as well as develop and propose new metrics to make actionable intelligence available to business stakeholders.
• Support cross-functional teams on the day-to-day execution of projects and initiatives.
• Communicate insights to key stakeholders.

Requirements

• Preferred: Bachelors in Engineering or Science.
• GPA of 8+ or an overall score of 80%+.
• Location: Coimbatore / Remote
• Strong analytical and problem solving skills with focus on quality and detail orientation.
• Strong proficiency in English reading, written, communication.
• Strong work ethic and personal initiative, reliable self-starter that is capable of working with a high degree of autonomy.
• Ability to work across global cross-office teams and in a team environment.
• Excellent organizational and task management skills.
• Strong verbal and written communication skills with the ability to articulate results and issues to internal and client teams.
• Process management, improvement focus, and willingness to learn cutting edge tool and technology.

Job Title: Sales Development Manager - Corporate Gifting

Position Overview:

As a Sales Development Manager in the Corporate Gifting industry, you will be responsible for driving revenue growth through the development and execution of strategic sales initiatives. The ideal candidate will have a strong background in sales, a proven track record in the corporate gifting sector, and the ability to lead and motivate a sales team.

Key Responsibilities:

Sales Strategy and Planning:

·      Develop and implement a comprehensive sales strategy to achieve revenue targets and market share growth.

·      Analyze market trends, competitor activity, and customer behavior to identify new business opportunities.

·      Collaborate with the leadership team to set sales goals and objectives.

Team Leadership:

·      Lead and inspire a high-performing sales team.

·      Provide coaching, training, and mentorship to team members to enhance their sales skills and product knowledge.

·      Set clear performance expectations and regularly assess team performance against targets.

Corporate Gifting Expertise:

·      Leverage your expertise in the corporate gifting field to understand client needs and propose innovative gifting solutions.

·      Stay informed about industry trends, emerging technologies, and best practices in corporate gifting.

Client Relationship Management:

·      Cultivate and maintain strong relationships with key clients and prospects.

·      Collaborate with the marketing team to develop and execute effective client engagement strategies.

Sales Process Optimization:

·      Streamline and optimize the sales process to improve efficiency and effectiveness.

·      Implement and manage CRM tools to track and analyze sales performance metrics.

Collaboration:

·      Work closely with cross-functional teams, including marketing, operations, and customer service, to ensure seamless execution of sales initiatives.

·      Collaborate with product development teams to align offerings with market demand.

Qualifications:

·      Bachelor's degree in Business, Marketing, or a related field.

·      Proven experience in sales, with a focus on corporate gifting.

·      Demonstrated success in leading and managing high-performing sales teams.

·      Strong understanding of the corporate gifting market and industry trends.

·      Excellent communication, negotiation, and interpersonal skills.

·      Ability to think strategically and execute tactically.

·      Proficiency in CRM tools and sales analytics.

1. SAP SD(Sales and Distribution) - HANA Sales of S/4 HANA

2. O2C(Order To Cash ) business process expertise,

3. SAP SD Implementation/Support/Development project expertise.

4. Exposure to SAP SD configurations (O2C processes, Pricing Procedure, Revenue account determination, Credit Management, Rebate Processing, Batch Management, Consignment, Stock transport orders)

5. S/4 Migration/Implementation/AMS experience