Responsibilities
- Review and analyze requirements, specifications, and technical design documents, providing timely feedback
- Develop detailed, comprehensive, and well-structured test plans and test cases
- Prioritize and plan testing activities
- Should have a basic idea of automated testing
- Identify and report issues found, then verify that issues are resolved
- Perform regression testing
- Should be able to handle ticketing system and concerned stakeholders for reported bugs.
Skills
- Proven work experience in software quality assurance
- Strong knowledge of software QA methodologies, tools, and processes
- Basic experience with automated testing tools
- Keen eye for detail and a commitment to excellence
- Be willing to help your teammates, share your knowledge with them, and learn from them
- Be open to receiving constructive feedback and turning it into process improvements
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KEY RESPONSIBILITIES
1. The SEM specialist plans, executes, and manages the overall SEO strategy for clients.
2. Create, manage, and optimize PPC campaigns across platforms like Google Ads/Adwords and Bing Ads.
3. Work closely with the content, design, and product teams to ensure alignment of marketing efforts.
4. Assist in developing landing pages and other marketing materials that enhance user experience and conversion rates.
5. Conduct keyword research and analysis to identify high-potential opportunities.
6. Analyse, track, and improve existing paid adverts and campaigns, in real-time if needed
7. Design, plan, create, and launch digital marketing campaigns based on current needs and company goals
8. Work with paid advertising platforms such as Google, Yahoo, Bing, and more
9. Manage campaign budgets, ensuring optimal allocation of resources to achieve
desired outcomes.
10. Ensure that all advertisements meet client needs.
11. Measure effectiveness of SEO marketing efforts
KEY REQUIREMENTS
1. Bachelor’s degree in marketing or other related fields
2. Experience as SEM specialist, pay-per-click (PPC) Manager, or other related roles
3. Knowledge of A/B testing.
4. Skilled in HTML, Javascript, and CSS.
5. Strong analytical skills with the ability to interpret data and make data-driven decisions.
6. Excellent communication and collaboration skills.
Knowledge of fintech industry trends and regulations is a plus
Job Title - Cloud Fullstack Engineer
Experience Required - 5 Years
Location - Mumbai
Immediate joiners are preferred.
About the Job
As a Cloud Fullstack Engineer you will design, develop, and maintain end-to-end solutions for cloud-based applications. The Cloud Fullstack Engineer will be responsible for building both frontend and backend components, integrating them seamlessly, and ensuring they work efficiently within a cloud infrastructure.
What You’ll Be Doing
- Frontend Development
- Design and implement user-friendly and responsive web interfaces using modern frontend technologies (e.g., React, Angular, Vue.js).
- Ensure cross-browser compatibility and mobile responsiveness of web applications.
- Collaborate with UX/UI designers to translate design specifications into functional and visually appealing interfaces.
- Backend Development
- Develop scalable and high-performance backend services and APIs to support frontend functionalities.
- Design and manage cloud-based databases and data storage solutions.
- Implement authentication, authorization, and security best practices in backend services.
- Cloud Integration
- Build and deploy cloud-native applications using platforms such as AWS, Google Cloud Platform (GCP), or Azure.
- Leverage cloud services for computing, storage, and networking to enhance application performance and scalability.
- Implement and manage CI/CD pipelines for seamless deployment of applications and updates.
- End-to-End Solution Development
- Architect and develop fullstack applications that integrate frontend and backend components efficiently.
- Ensure data flow between frontend and backend is seamless and secure.
- Troubleshoot and resolve issues across the stack, from UI bugs to backend performance problems.
- Performance Optimization
- Monitor and optimize application performance, including frontend load times and backend response times.
- Implement caching strategies, load balancing, and other performance-enhancing techniques.
- Conduct performance testing and address bottlenecks and scalability issues.
- Security and Compliance
- Implement security best practices for both frontend and backend components to protect against vulnerabilities.
- Ensure compliance with relevant data protection regulations and industry standards.
- Conduct regular security assessments and audits to maintain application integrity.
- Collaboration and Communication
- Work closely with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality solutions.
- Participate in code reviews, technical discussions, and project planning sessions.
- Document code, processes, and architecture to facilitate knowledge sharing and maintainability.
- Continuous Improvement
- Stay updated with the latest trends and advancements in frontend and backend development, as well as cloud technologies.
- Contribute to the development of best practices and standards for fullstack development within the team.
- Participate in knowledge-sharing sessions and provide mentorship to junior engineers.
What We Need To See
- Strong experience in both frontend and backend development, as well as expertise in cloud technologies and services.
- Experience in fullstack development, with a strong focus on both frontend and backend technologies.
- Proven experience with cloud platforms (AWS, GCP, Azure) and cloud-native application development.
- Experience with modern frontend frameworks (e.g., React, Angular, Vue.js) and backend technologies (e.g., Node.js, Java, Python).
- Technical Expertise:
1. FrontEnd
- Handon Experience with HTML5, CSS, JavaScript, ReactJs, Next.js, redux, JQuery
2. Proficiency in Backend Development
- Strong experience with backend programming languages such as Node.js, Python
- Expertise in working with frameworks such as NestJS, Express.js, or Django.
3. Microservices Architecture
- Experience designing and implementing microservices architectures.
- Knowledge of service discovery, API gateways, and distributed tracing.
4. API Development
- Proficiency in designing, building, and maintaining RESTful and GraphQL APIs.
- Experience with API security, rate limiting, and authentication mechanisms (e.g., JWT, OAuth).
5. Database Management
- Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB).
- Experience in database schema design, optimization, and management.
6. Cloud Services
- Hands-on experience with cloud platforms such as Azure,AWS or Google Cloud.
- Security: Knowledge of security best practices and experience implementing secure coding practices.
- Soft Skills:
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Ability to manage multiple priorities and work in a fast-paced, dynamic environment.
Position: Business Development Executive
Shift Timing: 10 AM to 6 PM - Monday to Saturday (Remote)
Company: JNJ Technologies & Services LLP
Language: English & Hindi
Salary: 3 LPA to 5 LPA
We are looking for a resilient, empathic Business Development Executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption.
Requirements:
• Bachelor's degree in business management, marketing, or related field.
• 1 - 4 years' relevant work experience in business development or similar field preferred.
• Excellent written and verbal communication skills.
• Ability to handle multiple projects simultaneously and work under pressure.
• Proficient in Microsoft Office and relevant software.
Responsibilities:
• Identifying profitable business opportunities
• Conducting extensive market research
• Creating actionable business strategies
• Nurturing relationships with clients
• Analyzing market trends.
We have multiple open positions for full-stack engineers to work with us on a cutting-edge eCommerce trade analysis platform.
Must have experience with:
- NodeJS
- Mern Stack
- AWS
- Experience working on SaaS applications with a large codebase
Nice to have
- Tailwind
- DynamoDB
- Chart libraries such as ChartJS
ONLY FOR WOMEN/RETURNING WOMEN
Client: A Leading Product Healthcare Company
Position: Software Engineer - Automation Testing
Work Location: Hyderabad remote working
Roles & Description
- Experience in Automation Testing using Selenium resource with Jscript and familiarity with Protractor
- Should have proven experience of Framework development
- Strong knowledge and experience in working with Jasmine and with POM framework
- Expert knowledge of XPath construction and in Node.js, debugging the scripts and running the scripts through GIT
Required Skills
- Good verbal and communication skills with3 years and above experience
- Strong problem solver who can work independently and having good analytical skills
- B.Tech /MCA/ ENGG qualification
- Flexible work hours
Beyond Pinks Will Offer
- We will offer free training and help you prepare for over 1 week to prepare for resume writing, interview and technical interview as well.
- We will also train on managing work life balance, speaking confidently, salary negotiation, bouncing back after career break.
• Proficient in Drupal, including custom module development, key contributed modules and core API
• Minimum 2+ years of Drupal hands-on development experience.
• Proficient in the maintenance and administration of Drupal modules and sites.
• Experience integrating open source and third-party applications into existing systems.
• Solid understanding of AJAX, HTML, Javascript, and CSS
• Familiarity with source control systems such as Subversion, etc.
• Results-oriented, reliable, able to work under pressure
• Ability to communicate technical ideas to business users and other teams (design, qa)
• Ability to both collaborate with team members and to work independently
• Eager to embrace current and emerging web technologies.
* Should have at least 4 Years prior experience as a HR Manager.
* Should have experience in employee engagement
* Prior software or telecom experience.
* Strategic planning, complex problem resolution and general management expertise.
* Experience in the following areas: human resources management, organizational development/change management, process improvement, compensation, staffing.
* Help employees with travel procedures
* Should have handled HR role in organisations of min size of 60+ people.
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.