Workday Functional Consultant

Company: Web5 Solution (Software & IT Development Firm) Location: Gurugram

The Growth Promise: This is a "Fast-Track" role. We don't want you to be an executive forever; we are hiring you to be a future Sales Head.

Why Join Us? (Your Learning & Earnings)

• Sales Masterclass: You will learn high-ticket B2B sales, negotiation psychology, and how to close deals with international and domestic clients.
• Uncapped Earning Potential: While your base is ₹20k–₹30k, our incentive structure is designed so that a high-performer can double their monthly take-home through commissions.
• Future Leadership: As Web5 Solution expands, you will be the first in line to lead your own sales team. We value loyalty and results above seniority.

Key Responsibilities

• Client Acquisition: Master the art of the pitch - from cold outreach to closing meetings.
• Market Analysis: Identify emerging industries that need Web5 solutions before our competitors do.
• Relationship Management: Learn to manage a "Pipeline" and move clients from interest to contract.

Requirements

• 0–10 years of experience. We value attitude over degrees.
• Exceptional communication skills (English & Hindi).
• A "never-quit" attitude. You see challenges as a way to sharpen your skills

Key Responsibilities:

• Act as the primary contact for clients reporting issues related to trading applications and platforms.

• Log, track, and monitor issues using internal tools and ensure resolution within defined TAT (Turnaround Time).

• Liaise with development, QA, infrastructure, and other internal teams to drive issue resolution.

• Provide clear and timely updates to clients and stakeholders regarding issue status and resolution.

• Maintain comprehensive logs of incidents, escalations, and fixes for future reference and audits.

• Offer appropriate and effective resolutions for client queries on functionality, performance, and usage.

• Communicate proactively with clients about upcoming product features, enhancements, or changes.

• Build and maintain strong relationships with clients through regular, value-added interactions.

• Collaborate in conducting UAT, release validations, and production deployment verifications.

• Assist in root cause analysis and post-incident reviews to prevent recurrences.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, IT, or related field.

• 2+ years in Application/Technical Support, preferably in the broking/trading domain.

• Sound understanding of capital markets – Equity, F&O, Currency, Commodities.

• Strong technical troubleshooting skills – Linux/Unix, SQL, log analysis.

• Familiarity with trading systems, RMS, OMS, APIs (REST/FIX), and order lifecycle.

• Excellent communication and interpersonal skills for effective client interaction.

• Ability to work under pressure during trading hours and manage multiple priorities.

• Customer-centric mindset with a focus on relationship building and problem-solving.

Nice to Have:

• Exposure to broking platforms like NOW, NEST, ODIN, or custom-built trading tools.

• Experience interacting with exchanges (NSE, BSE, MCX) or clearing corporations.• Knowledge of scripting (Shell/Python) and basic networking is a plus.

• Familiarity with cloud environments (AWS/Azure) and monitoring tools.

Why Join Us?

• Be part of a team supporting mission-critical systems in real-time.

• Work in a high-energy, tech-driven environment.

• Opportunities to grow into domain/tech leadership roles.

• Competitive salary and benefits, health coverage, and employee wellness programs.

Prelude

We are BeyondScale, on a mission to build the mobile learning app to help organizations create internal courses for their workforce easily. eLearning is booming and we aim to tap into the under-served non-IT L&D market and make a difference in the livelihoods of millions of people.

We’re now looking for a passionate “Django Developer” who is willing to join us at an early stage and help us build a world-class product. 

Django Developer 

Job Description:

• 2+ years of experience coding with Python.
• Design, build, and maintain efficient, reusable, and reliable code.
• Eager and proactive to learn new technical skills.
• Hands-on experience in developing web APIs and writing database queries in PostgreSQL (MongoDB, MySQL and DynamoDB is a plus).
• Good understanding of OOPs, Multiprocessing and threading.
• Proficient in testing and debugging programs.
• Well-versed with Git and modern development workflow practices

About the Job:

We are looking for a Content Writer, preferably a medical professional who has a passion for writing or a writer who found niche in healthcare industry, to create, edit and maintain high quality edit technical and marketing documents for internal and external use.

In this role, you will research, organize, write, and edit health Insurance related medical policies, technical and marketing & sales-related contents, as required.

Responsibilities:

As a Product Marketing Content Writer:

• Create, curate and syndicate content to increase brand awareness.
• Write storyboard and script content for digital and print channels for Sales and Marketing materials.
• Maintain a comprehensive library of technical terminology, standards, and documentation to unify communications.
• Plan future content in collaboration with management to maintain consistency and high-quality for future documentation.
• Proactively and strategically plan content to achieve business goals and user needs.
• Analyse documents to maintain continuity of style of content.
• Serve as writing consultant to other business segments as needed.

As a Technical Writer:

• Obtain a deep understanding of the Medical and Healthcare industry to summarize policy information into simple, polished, and engaging content for internal and external users.
• Write health insurance and medical related content that meets the business needs.
• Develop and maintain detailed repositories of appropriate reference materials in healthcare policies. 
• Research, develop and document technical design specifications and requirements documents and translate technical data into user-focused language.
• Gather information through research, subject matter experts and by reviewing technical requirements.
• Evaluate current content and develop innovative approaches for summarizations and improvement.
• Establish standards and protocols with team members for project documentation.
• Plan, develop, organize, write, and edit internal operational procedures, and training manuals.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

1. As a part of ISA ERP development team Develop, test and implement scalable, maintainable, well documented, high-quality MVC / Web Application for Manufacturing or service industry.

2. The individual should have a good understanding of the Microsoft .NET Platform and MS SQL server and Stored procedures

3. Ensure adherence to standards of best engineering practice (code reviews, source code management, unit testing, etc.)

4. Help junior members in the team to get them up to speed and train them in coding practices.

Job Overview: We are seeking a dedicated Senior Statistical Programmer to join our dynamic team. You will be responsible for the development, quality control, and documentation of statistical (SAS) programming deliverables for clinical research studies.

Key Responsibilities:

1.      Lead and oversee the development of SAS programs for the management and statistical analysis of clinical trial data.

2.      Develop, test, and validate statistical tables, listings, and graphs (TLGs) in support of the statistical analysis plan.

3.      Support the generation and review of protocols, data management plans, study reports, and other regulatory documents.

4.      Provide input to the statistical analysis plan, table shells, data integration plans, and mock-ups.

5.      Ensure data quality by designing and validating key data checks and listings.

6.      Develop specifications for derived datasets and perform data transformation as necessary.

7.      Collaborate effectively with data management and biostatistics teams, clinicians, and other project stakeholders.

8.      Guide junior programmers and provide mentoring as needed.

9.      Keep abreast of new developments in SAS programming and clinical research, and act as a subject matter expert for the team.

Required Qualifications and Skills:

1.      Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or a related field.

2.      Minimum of 3 plus years of statistical programming experience in the pharmaceutical, biotech, or CRO industry.

3.      Excellent SAS programming skills and proficiency in SAS/Base, SAS/Macro, SAS/Graph, and SAS/STAT.

4.      Familiarity with CDISC SDTM and ADaM data standards.

5.      In-depth understanding of clinical trial data and extremely complex statistical methods.

6.      Excellent problem-solving skills and a proactive approach to identifying and resolving issues.

7.      Strong written and verbal communication skills, with the ability to translate complex data into understandable results.

8.      Proficiency in English, with excellent written and verbal communication skills.

9.      Prior experience leading teams or projects is highly desirable.

Preferred Skills:

1.      Experience in oncology, immunology, respiratory, infectious diseases, or neurosciences is a plus.

2.      Knowledge of other statistical software such as R or Python is a plus.

3.      Knowledge of regulatory guidelines (FDA/EMA/ICH) is preferred.

Engineering Manager Responsibilities:

• Platform stability and smooth functioning on a day to day basis.
• Proposing and managing budgets for projects and for growth.
• Supervising the work of multiple teams (build, test, infrastructure).
• Planning and executing strategies for completing projects on time.
• Identifying potential roadblocks and building contingency plans.
• Quickly dealing with bugs and breaks in the operational environment.
• Determining the need for training and talent development.
• Team building.
• Product launch with management buyin.
• Providing clear and concise instructions to engineering teams.

Engineering Manager Requirements:

• Bachelor's / Masters degree in CS or related.
• 8 t0 12 years' engineering experience.
• Proven supervisory and technical skills.
• Capable of working in an unsupervised agile environment.
• Must come highly-recommended.

- BE/BTech degree in CS/IT with more than 7 CGPA or similar.

- 5 to 8 years of proven experience as a Frontend Web UI engineer or similar role.

- Must have good understanding of Data Structures/Algorithms/Databases and other CS concepts.

- Should be able to design/implement/deploy end-to-end systems.

- Good/Hands on experience with Angular 8+ and scripting programming languages like JavaScript/Typescript.

- Good/Hands on experience with HTML5, CSS, SCSS, Angular Material or any other UI libraries

- Good/Hands on experience in writing the unit tests.

- Must have worked designing the Angular Modules based on the UI/UX provided with RxJs, NgRx, Websockets etc.

- Should be inquisitive enough to pick and work on multiple programming languages and frameworks based on specific cases.

- Having worked in at least one of the cloud computing services like AWS/Azure/Google Cloud is a plus.

- Good Knowledge on Dockers/Kubernetes is a plus.

- Having basic understanding of (or having worked in) server-side web frameworks like NodeJS, Flask, Django is a plus.

• Power BI Report development.
• Building Analysis Services reporting models.
• Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.
• Connecting data sources, importing data, and transforming data for Business intelligence.
• Analytical thinking for translating data into informative reports and visuals.
• Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.
• Should have an edge over making DAX queries in Power BI desktop.
• Expert in using advanced-level calculations on the data set.
• Responsible for design methodology and project documentaries.
• Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.
• Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.