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1. Design, develop, and maintain data pipelines using Azure Data Factory
2. Create and manage data models in PostgreSQL, ensuring efficient data storage and retrieval.
3. Optimize query performance and database performance in PostgreSQL, including indexing, query tuning, and performance monitoring.
4. Strong knowledge on data modeling and mapping from various sources to data model.
5. Develop and maintain logging mechanisms in Azure Data Factory to monitor and troubleshoot data pipelines.
6. Strong knowledge on Key Vault, Azure Data lake, PostgreSQL
7. Manage file handling within Azure Data Factory, including reading, writing, and transforming data from various file formats.
8. Strong SQL query skills with the ability to handle multiple scenarios and optimize query performance.
9. Excellent problem-solving skills and ability to handle complex data scenarios.
10. Collaborate with Business stakeholder, data architects and PO's to understand and meet their data requirements.
11. Ensure data quality and integrity through validation and quality checks.
12. Having Power BI knowledge, creating and configuring semantic models & reports would be preferred.
About the company - Exploring Infinities is a EdTech company headed by Neelakantha Bhanu Prakash, which reaches out to students across different educational institutions, employees across a lot of corporates and training them in speed and mental ability by harnessing the infinite brain potentials of the human brain, addressing a variety of audiences in various conferences, for creating awareness on capacities of the human brain by holding demonstrations, workshops.
Role : Full-time
Location : HSR Layout, Bengaluru
Roles and Responsibilities:
- Willing to familiarise yourself with the company's vision and mission seeking to accomplish set goals and objectives.
- Collating and maintaining client information in the CRM database.
- Make calls to clients and respond to callback requests for international regions like US, Canada, Middle East, ANZ, EMEA, LATAM etc...
- Email & whatsapp conversations with potential leads.
- Convert potential leads into customers.
- Learning & using our customer relations management software & others.
- Related computer softwares.
Requirements:
- Excellent written and verbal communication skills.
- Laptop is mandatory.
- Willing to work in a startup environment (fast paced).
- Willing to work 6 days a week.
Benefits:
- Competitive salary benefits
- Uncapped Incentives
- Exemplary growth cycle
- Impressive workspace and culturally diversified workforce.

Company: Billion-dollar US-based Retail
About the Role:
We are seeking a talented and experienced Fullstack Engineer with a strong focus on frontend development to join our dynamic team. You will work with modern web technologies to design and implement highly scalable and user-friendly interfaces for our global e-commerce platform. This is a hybrid role requiring 3 days a week from the office and 2 days remote.
Key Responsibilities:
Develop and maintain high-performance web applications with a primary focus on frontend features.
Collaborate with designers, backend engineers, and product managers to deliver seamless user experiences.
Write clean, maintainable, and scalable code using React.js, Vue.js, and other modern frameworks.
Integrate and optimize backend services using Node.js and PostgreSQL.
Participate in code reviews, mentoring sessions, and team discussions to uphold engineering excellence.
Stay up-to-date with emerging trends and technologies in fullstack and frontend development.
Required Skills and Experience:
8+ years of professional experience in software development, focusing on fullstack engineering.
Strong proficiency in React.js and/or Vue.js for frontend development.
Solid understanding of Node.js for backend services.
Experience with relational databases like PostgreSQL.
Proficiency in building responsive, cross-browser-compatible, and accessible user interfaces.
Familiarity with agile development methodologies and version control systems like Git.
Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.
Preferred Qualifications:
Previous experience in the retail/ E-commerce / and finance domain a plus.
Netsuite Technical Consultant
Job Summary:
• Work closely with functional consultants for the successful implementation of the
project.
• Provide NetSuite training and technical support to end-users throughout the
implementation.
• Provide technical support to clients as and when required post-implementation.
• Should have experience on Suite talk, Suite Builder, Suite Analytics, Suite Let.
• Perform integration, configuration, data migration and user access control settings
involving NetSuite.
• Development of Scripts and Workflows to Enhance NetSuite. Create, Maintain, &
Optimize existing NetSuite customizations
JOB DESCRIPTION
· Develop business plans for allocated accounts. Achieve revenue targets
· Develop loyalty program strategy, design and develop programs to achieve identified engagement objectives.
· Own agency deliverables wrt to allocated accounts – Program KPIs, operational SLAs, reporting & MIS, technology development, customer care operations, creative services, event management, print & productions etc.
· Upsell and cross-sell Colorgenics’s services by finding new avenues of revenue generation within allocated accounts
· Conduct quarterly and annual program reviews with client’s senior management teams.
· Share strategic inputs, industry best practices with clients and help driving the program performance
· Develop and implement tactical campaigns to improve engagement through various initiatives and promotions.
· Giving creative direction to the team. And act as a creative output reviewer and approver.
· Team mentoring & reviews.
· Act as a facilitator of 3rd party auditors appointed by clients.
· Keeping total control on invoicing and collections.
CANDIDATE PROFILE AND QUALIFICATION:
· Thorough knowledge of CRM & loyalty marketing. A seasonal professional with at least 8 years’ experience in heading big accounts
· Marketing & Analytics knowledge, excellent communication skills, Technical and Managerial experience in designing, developing & growing a loyalty program.
· This role requires a solid background in loyalty program management and client relationship management.
· Team handling exposure and aptitude to handle challenging circumstances.
· MBA / PGDBM is required
What you can expect at Colorgenics?
A Dynamic workplace with start-up attitude which fuels your passion to learn and unlearn. You may expect a fantastic work atmosphere of like-minded individuals keen to do something out of the box and disruptive.



Five or more years of experience with technical product configuration, design, and/or
integration using the following tech stack:
C#, ASP.net using Web Forms, ADO.Net
Hands-on experience with WCF, jQuery, Web API, Entity Framework and LINQ will be
added advantage.


Something we will like in you -
You enjoy the excitement of developing new software, mobile apps, and you have a vision for building stable, reliable, and performant systems.
You must have solid foundational knowledge in software development and debugging.
You might have a Computer Science or Engineering degree, or you might not. Your university is not what we're looking for. We care about what you can do at work and how you do it.
This is a remote job. You're free to work where you work best, anywhere in the world: home, co-working space, coffee shops.
Do you recognize yourself in these statements:
- You are comfortable under pressure, and you enjoy working on a broad array of projects with different technical requirements.
- You love unwinding tricky problems, finding the causes, and fixing them for good.
- You take pride in your work with or without accolades from others.
- You care about your coworkers and want to make their lives better.
- You enjoy working across teams to help ship new features and fix bugs.
- You approach your work with curiosity, enthusiasm, and tenacity.
Pay and benefits
- The salary for this position is INR 20000 - INR 30,000
We assess your seniority relative to the team at Shimbi Labs during the interviewing process. It doesn't matter how many years you worked before. - Work from anywhere.
- Allowance for the Internet connection.
- Laptop and power backup (After a year).
- 21 days paid leaves.
- Health insurance after a year with us (After a year).
• Exposure to Cloud
• Versatile in choosing appropriate tools and frameworks for the Core and advance java development procedures.
• Good in Spring Boot and latest java methodologies to suggest best practices and proven solutions to the business.
• Expert in service oriented solutions and micro services architecture (REST). Should have been a part of monolithic to micro services rearchitecture.
• Exposure towards No-Sql databases such as Cassandra or Mongo DB.




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.



