
- BizTalk Development:
- Design, develop, and deploy BizTalk solutions for integrating business processes.
- Build custom BizTalk maps, orchestrations, pipelines, and adapters to meet integration requirements.
- Troubleshoot and resolve issues with BizTalk applications, ensuring minimal downtime.
- Implement best practices for BizTalk development and integration.
- Create and maintain documentation related to BizTalk applications and processes.
- SQL Development & Management:
- Develop, optimize, and maintain SQL Server databases, including stored procedures, queries, and triggers.
- Write efficient SQL queries to extract, transform, and load data.
- Perform database tuning and optimization for performance improvements.
- Ensure database security, integrity, and backup.
- Conduct routine maintenance tasks such as patching and updates for SQL databases.
- Integration & Collaboration:
- Collaborate with business analysts and other developers to understand business requirements and integrate them into solutions.
- Participate in design and code reviews, ensuring quality and standards are adhered to.
- Assist in the deployment of BizTalk solutions and SQL database updates to production environments.
- Support Existing Systems:
- Provide ongoing support and maintenance for existing BizTalk applications, SQL databases, and integration processes.
- Troubleshoot, monitor, and optimize existing BizTalk integration workflows, databases, and related services.
- Ensure smooth operations by resolving issues and improving the performance of legacy systems.
- Monitoring & Support:
- Monitor the performance of BizTalk applications and SQL databases to ensure optimal performance.
- Provide ongoing support for BizTalk integrations and SQL database issues.
- Troubleshoot and resolve technical issues related to integrations and SQL queries.
- Provide 2nd/3rd line support for any issues that arise in the production environment.
Required Skills & Qualifications:
- Technical Skills:
- Strong experience with BizTalk Server (preferably BizTalk 2016 or later).
- Expertise in creating and managing BizTalk orchestrations, maps, and pipelines.
- Proficient in SQL Server (SQL Server 2012/2014/2016/2017/2019).
- Experience with T-SQL, stored procedures, triggers, views, and indexes.
- Familiarity with SQL Server Management Studio (SSMS) and SQL Server Integration Services (SSIS).
- Knowledge of web services (SOAP, REST) and messaging formats (XML, JSON).
- Experience with BizTalk adapters and message brokers.
- Analytical and Troubleshooting Skills:
- Strong problem-solving skills with the ability to debug and troubleshoot BizTalk and SQL issues.
- Ability to quickly understand new systems and integrations and provide efficient solutions.

About ScatterPie Analytics
About
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- Curriculum Development: Collaborate with Academic Advisory Committee and Marketing team members to design and develop comprehensive curriculum for data science programs at undergraduate and graduate levels. Ensure alignment with industry trends, emerging technologies, and best practices in data science education.
- Faculty Recruitment and Development: Lead the recruitment, selection, and development of faculty members with expertise in data science. Provide mentorship, support, and professional development opportunities to faculty to enhance teaching effectiveness and academic performance.
- Quality Assurance: Establish and maintain robust mechanisms for quality assurance and academic oversight. Implement assessment strategies, evaluation criteria, and continuous improvement processes to ensure the delivery of high-quality education and student outcomes.
- Student Engagement: Foster a culture of student engagement, innovation, and success. Develop initiatives to support student learning, retention, and career readiness in the field of data science. Provide academic counselling and support services to students as needed.
- Industry Collaboration: Collaborate with industry partners, employers, and professional organizations to enhance experiential learning opportunities, internships, and job placement prospects for students. Organize industry events, guest lectures, and networking opportunities to facilitate knowledge exchange and industry engagement.
- Research and Innovation: Encourage research and innovation in data science education. Facilitate faculty research projects, interdisciplinary collaborations, and scholarly activities to advance knowledge and contribute to the academic community.
Budget Management: Develop and manage the academic budget in collaboration with the finance department. Ensure efficient allocation of resources to support academic programs, faculty development, and student services.
Job Description:
Key Responsibilities:
• Assist in the execution of digital marketing campaigns across various channels, including Search Engine Marketing, Social Media Marketing, Email Marketing, and WhatsApp Marketing.
• Create and curate engaging and relevant content for the company's online platforms to drive brand awareness and engagement.
• Conduct market research and competitive analysis to identify trends and opportunities.
• Monitor and analyze the performance of digital marketing initiatives using various analytics tools.
• Collaborate with the team to brainstorm and implement new strategies.
• Help maintain and update the company's website and social media profiles.
• Support in the creation of visual and written content, such as graphics, blog posts, and promotional materials.
Qualifications:
• Currently enrolled in or recent graduate with a degree in Marketing, Communications, Business, or a related field.
• Strong written and verbal communication skills.
• Knowledge of digital marketing principles and techniques.
• Familiarity with social media platforms and content management systems.
• Proficiency in Microsoft Office Suite and basic design software.
• Analytical mindset with the ability to interpret data and draw insights.
• Self-motivated, creative, and eager to learn.
• A positive attitude and a strong team player.
Benefits:
• Hands-on experience in digital marketing, providing a solid foundation for a future career in the field.
• Opportunity to work closely with a supportive and experienced marketing expert.
• Exposure to various aspects of digital marketing, including content creation, SEO, ASO, and data analysis.
• Potential for future career opportunities within the company.
• Competitive stipend for the duration of the internship.
We are looking for someone to join our growing team, you will be involved using Rust. Additionally, you will be building tools for our blockchain users such as RESTful API.Debugging/fixing issues within our codebase.
The ideal candidate will be responsible for conceptualizing and executing clear, quality code to develop the best software. You will test your code, identify errors, and iterate to ensure quality code. You will also support our customers and partners by troubleshooting any of their software issues.
Responsiblities:
Rust (5+ years)
Software Engineering experience, Python, JAVA, REACT etc.
Hands on experience with tooling related to Rust (build systems, package managers, unit testing, CI pipelines)
Ability to develop software, implement mission-critical features, and navigate through a large codebase
Experience with code review process and ability to conduct them
Strong ability work in a team environment
Fluency in Git and Github
Ability to follow Agile development process
Attention to detail and ability to producing production-level code
Active approach to work, taking initiative to define and complete tasks
Critical Thinking and Problem Solving skills, ability to work independently
Highly detail-oriented mindset and willingness to learn
Ability to communicate in English (spoken & written)
Understanding compilers and virtual machines
Basic understanding of blockchains and Ethereum
Knowledge of Solana and/or Cardano
Detect and troubleshoot software issues
Write clear quality code for software and applications and perform test reviews
Develop, implement, and test APIs
Provide input on software development projects
Qualifications
- Comfort using programming languages and relational databases
- Strong debugging and troubleshooting skills

Looking Data Enginner for our OWn organization-
Notice Period- 15-30 days
CTC- upto 15 lpa
Preferred Technical Expertise
- Expertise in Python programming.
- Proficient in Pandas/Numpy Libraries.
- Experience with Django framework and API Development.
- Proficient in writing complex queries using SQL
- Hands on experience with Apache Airflow.
- Experience with source code versioning tools such as GIT, Bitbucket etc.
Good to have Skills:
- Create and maintain Optimal Data Pipeline Architecture
- Experienced in handling large structured data.
- Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
- Experience with any cloud platform (GCP is a plus)
- Experience with JQuery, HTML, Javascript, CSS is a plus.
- 3 to 5 years of experience in UI Development and hands on experience on Angular2 or Angular 2+, Node etc.
- Exposure to cross browser compatibility issues, SCSS as the CSS macro-processor, sprites etc.
- Experience with Jira, SVN, Git will be added advantage
- Passionate and eager to learn new technologies
- Intimately knowledgeable about all things web and mobile
- Demo able portfolio on website or GitHub will be given preference
- Must have knowledge on Java script, jQuery, ECMAScript
- Strong proficiency in JavaScript (ES6) or TypeScript
- Familiarities with modern JavaScript tools, like npm and webpack
- Excellent technical design, problem solving and debugging skills.
- Experience building JavaScript/CSS Frameworks or shared component libraries used in large scale production websites.
- Understands frontend software design patterns (e.g. asynchronicity, data binding, modules, objects, promises).
- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Working with MVVM, MVP, MVC patterns
Requirements
- Convert design to Angular 5 components
- Use SCSS as the CSS macroprocessor
- Integrate the Angular services with APIs from the backend team
- Implement UI development best practices to write optimized and non-buggy code
- Work in Agile environment with sprint releases ranging from 2 to 4 weeks
- Feasibility study of requirement and suggest multiple approaches for a problem after sufficient RnD
- Keep abreast with trending recent UI tools, technologies, plugins and software in the industry
- “Roll-up your sleeves” attitude to get things done
- Test your screens using a tool for all browsers and resolution compatibility
- Handle and track tasks assigned using Agile methodology
- Strong commitment towards quality and schedule.
- Cross team coordination
Robot Pilots are the front line of Cognicept’s operation and play an essential role in
the successful deployment of robotics: remotely resolving, analyzing, and reporting
robot errors. Providing a quick resolution to the client robot system is the highest
priority. These interventions ultimately lead to better performance and more
sophisticated applications of robotic systems. Robot Pilots use an error reporting
management system to document their interventions and findings into a
centralized database which is then used by the client, other Cognicept Robot Pilots,
and our engineers located worldwide.
Key responsibilities :
- Incident Management for robot issues within SLA.
- Error handling and resolution.
- Remote monitoring and robot operations.
- Help robots find their way by remotely correcting their internal “GPS” location and
driving/controlling the robot through unpredictable situations using
Cognicept’s propriety intervention system (it’s like a video game).
- Identify and report errors/failures/bugs, and suggest improvements to
processes and technologies.
- Manage inbound and outbound calls in a timely manner.
- Follow communication “scripts” and standard operating procedures.
- Identify customers’ needs, clarify information, research every issue and
provide solutions and/or alternatives.
- Keep detailed records of all interventions in the Cognicept database.
- Track personal/team qualitative and quantitative KPIs with your line manager.
- Take part in training and other learning opportunities to expand knowledge of
Cognicept and the position.
Skills/Qualifications:
- Experience with incident management, customer service and tech support preferred.
- Solid oral and written communication skills.
- Solid reading comprehension and listening skills.
- A keen eye for detail.
- Ability to work both independently and as part of a team.
- Excellent time to task management.
- Owns a laptop that runs Google Chrome and has a headset. (BYOD culture)
- Owns a functional smartphone with a data plan and an Indian phone number.
- Able to work in 24/7 shift with 6 days of working.




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 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
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.





