

Job Title: Senior Data Engineer
Location: Bangalore | Hybrid
Company: krtrimaIQ Cognitive Solutions
Role Overview:
As a Senior Data Engineer, you will design, build, and optimize robust data foundations and end-to-end solutions to unlock maximum value from data across the organization. You will play a key role in fostering data-driven thinking, not only within the IT function but also among broader business stakeholders. You will serve as a technology and subject matter expert, providing mentorship to junior engineers and translating the company’s vision and Data Strategy into actionable, high-impact IT solutions.
Key Responsibilities:
- Design, develop, and implement scalable data solutions to support business objectives and drive digital transformation.
- Serve as a subject matter expert in data engineering, providing guidance and mentorship to junior team members.
- Enable and promote data-driven culture throughout the organization, engaging both technical and business stakeholders.
- Lead the design and delivery of Data Foundation initiatives, ensuring adoption and value realization across business units.
- Collaborate with business and IT teams to capture requirements, design optimal data models, and deliver high-value insights.
- Manage and drive change management, incident management, and problem management processes related to data platforms.
- Present technical reports and actionable insights to stakeholders and leadership teams, acting as the expert in Data Analysis and Design.
- Continuously improve efficiency and effectiveness of solution delivery, driving down costs and reducing implementation times.
- Contribute to organizational knowledge-sharing and capability building (e.g., Centers of Excellence, Communities of Practice).
- Champion best practices in code quality, DevOps, CI/CD, and data governance throughout the solution lifecycle.
Key Characteristics:
- Technology expert with a passion for continuous learning and exploring multiple perspectives.
- Deep expertise in the data engineering/technology domain, with hands-on experience across the full data stack.
- Excellent communicator, able to bridge the gap between technical teams and business stakeholders.
- Trusted leader, respected across levels for subject matter expertise and collaborative approach.
Mandatory Skills & Experience:
- Mastery in public cloud platforms: AWS, Azure, SAP
- Mastery in ELT (Extract, Load, Transform) operations
- Advanced data modeling expertise for enterprise data platforms
Hands-on skills:
- Data Integration & Ingestion
- Data Manipulation and Processing
- Source/version control and DevOps tools: GITHUB, Actions, Azure DevOps
- Data engineering/data platform tools: Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Apache Airflow, AWS Kinesis, Amazon Redshift, SonarQube, PyTest
- Experience building scalable and reliable data pipelines for analytics and other business applications
Optional/Preferred Skills:
- Project management experience, especially running or contributing to Scrum teams
- Experience working with BPC (Business Planning and Consolidation), Planning tools
- Exposure to working with external partners in the technology ecosystem and vendor management
What We Offer:
- Opportunity to leverage cutting-edge technologies in a high-impact, global business environment
- Collaborative, growth-oriented culture with strong community and knowledge-sharing
- Chance to influence and drive key data initiatives across the organization

About krtrimaiq cognitive solutions
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CRMIT Solutions is a leading CRM Solutions Provider specializing in AI-led digital transformation and decision transformation solutions, all powered by Customer360++ (a proprietary AI and decision science framework). The flagship Application Success Value Plan (ASVP) leverages decision science and agentic AI techniques with considerable value-for-money-and-time.
Salesforce Developer
Job Type: Full-time | Location: Bengaluru, India
Job Description:
The Salesforce Developer will be responsible for the design, development, implementation, and support of customized solutions within the Salesforce platform. This role will play a critical part in ensuring scalable, high-performance implementations that align with CRMIT’s business objectives. The ideal candidate will have strong hands-on experience with Apex, LWC, Visualforce, and integration technologies.
Key Responsibilities:
- Develop Apex (classes and triggers), Lightning Components, and Visualforce to meet business requirements.
- Application development including Lightning Web Components and Visualforce pages.
- Create and execute unit, integration, and user acceptance test plans.
- Support Salesforce Administrator in configuration-related activities as needed.
- Contribute to technical documentation and design discussions.
- Take ownership of release cycles to implement and deploy new or updated applications.
- Analyze functional requirements and translate them into technical solutions.
- Address production issues and debug problems reported by end users.
Desired Skills and Experience:
- Education: Bachelor's/Postgraduate degree or equivalent professional qualification.
- Experience: 4+ years of experience in Salesforce configuration and development.
- Technical Knowledge:
- Experience in Apex, Visualforce, Lightning Web Components, and JavaScript.
- Experience working with Sales Cloud, Service Cloud, and Experience Cloud.
- Good understanding of custom object design, workflows, validation rules, approval processes, and reports.
- Familiarity with integrations and Salesforce best practices.
- Communication: Strong interpersonal and collaboration skills.
- Certifications:
- Salesforce Certified Administrator
- Salesforce Certified Platform App Builder
- Salesforce Certified Platform Developer I
Job Benefits:
- Competitive pay package and compensation plan.
- Opportunity to work with a leading AI-first CRM solutions provider and contribute to client success.
This is a remote internship role for a Private Equity Intern. The Private Equity Intern will assist in various day-to-day tasks, including conducting financial analysis and market research, performing due diligence on investment opportunities, and supporting the investment team with deal execution. The intern will also be involved in monitoring and reporting on portfolio company performance and preparing investment memos and presentations.
Qualifications
- Strong Analytical Skills and proficiency in Finance
- Understanding of Investments and Private Equity concepts
- Experience or coursework in conducting Due Diligence
- Excellent written and verbal communication skills
- Ability to work independently and remotely
- Currently pursuing or recently completed a Bachelor's or Master's degree in Finance, Business, Economics, or a related field
- Prior internship or work experience in finance or investment banking is a plus
Job Title: Project Manager
Location: Hybrid/Kashmere Gate, New Delhi
Experience Required: 2-3 Yrs (SaaS Industry)
Qualification: B.Tech/Engineering Degree
About Us:
Eazybe is transforming workplace communication by creating innovative tools on top of popular messaging platforms like WhatsApp, phone calls, and more. As we expand our reach into international markets, we're looking for dynamic sales professionals to join our team!
Role Overview:
We are looking for a skilled and detail-oriented Project Manager to lead, plan, and execute key projects at Eazybe. In this role, you will collaborate across teams, manage resources, and ensure timely delivery of project goals. You’ll drive innovation, align teams with company objectives, and oversee the development of our SaaS-based products.
Key Responsibilities:
- Project Planning & Execution: Define project scope, objectives, and deliverables in alignment with business goals.
- Team Collaboration: Coordinate with cross-functional teams, including development, marketing, sales, and customer success, to ensure smooth project execution.
- Resource Management: Allocate resources effectively and monitor budgets to achieve maximum efficiency.
- Timeline Management: Create and maintain detailed project timelines, ensuring deadlines are met.
- Stakeholder Communication: Act as the primary point of contact for internal and external stakeholders, providing updates and resolving issues promptly.
- Risk Assessment: Identify potential risks and implement mitigation strategies.
- Performance Monitoring: Track project performance using appropriate tools and techniques, reporting progress to leadership.
Required Skills & Qualifications:
- Proven experience as a Project Manager, preferably in a SaaS or tech environment.
- Strong understanding of Agile or Scrum methodologies.
- Excellent communication, leadership, and organizational skills.
- Proficiency in project management tools such as Asana, Jira, or Trello.
- Ability to manage multiple projects simultaneously while meeting deadlines.
- Problem-solving mindset with a proactive approach to challenges.
- Bachelor’s degree in business, technology, or a related field.
Preferred Qualifications:
- Experience in SaaS, AI, or B2B environments.
- Knowledge of product lifecycle management and software development processes.
- PMP or equivalent project management certification.
What We Offer:
- 12 days of Paid Time Off (PTO) annually
- 10 days of Working From Anywhere (WFA) annually
- Hybrid Work Model: 4 days in-office and 2 days from home
- Convenient Office Location: Just a 7-minute walk from Kashmiri Gate Metro
Candidates who meet the criteria will undergo 2 to 3 interviews and a possible paid work trial focusing on analytical and technical skills.
Join Eazybe and be a part of a team that’s transforming the SaaS landscape with innovation and creativity!



Job Title - Senior Backend Engineer
About Tazapay
Tazapay is a cross border payment service provider. They offer local collections via local payment methods, virtual accounts and cards in over 70 markets. The merchant does not need to create local entities anywhere and Tazapay offers the additional compliance framework to take care of local regulations and requirements. This results in decreased transaction costs, fx transparency and higher auth rates.
They are licensed and backed by leading investors. www.tazapay.com
What’s exciting waiting for You?
This is an amazing opportunity for you to join a fantastic crew before the rocket ship launch. It will be a story you will carry with you through your life and have the unique experience of building something ground up and have the satisfaction of seeing your product being used and paid for by thousands of customers. You will be a part of a growth story be it anywhere - Sales, Software Development, Marketing, HR, Accounting etc.
We believe in a culture of openness, innovation & great memories together.
Are you ready for the ride?
Find what interesting things you could do with us.
About the Backend Engineer role
Responsibilities (not exhaustive)
- Design, write and deliver highly scalable, reliable and fault tolerant systems with minimal guidance
- Participate in code and design reviews to maintain our high development standards
- Partner with the product management team to define and execute the feature roadmap
- Translate business requirements into scalable and extensible design
- Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies
- Coordinate with cross functional teams (Mobile, DevOps, Data, UX, QA etc.) on planning and execution
- Continuously improve code quality, product execution, and customer delight
- Willingness to learn new languages and methodologies
- An enormous sense of ownership
- Engage in service capacity and demand planning, software performance analysis, tuning and optimization
The Ideal Candidate
Education
- Degree in Computer Science or equivalent with 5+ years of experience in commercial software development in large distributed systems
Experience
- Hands-on experience in designing, developing, testing and deploying applications on Golang, Ruby,Python, .Net Core or Java for large scale applications
- Deep knowledge of Linux as a production environment
- Strong knowledge of data structures, algorithms, distributed systems, and asynchronous architectures
- Expert in at least 1 of the following languages: Golang, Python, Ruby, Java, C, C++
- Proficient in OOP, including design patterns.
- Ability to design and implement low latency RESTful services
- Hands-on coder who has built backend services that handle high volume traffic.
- Strong understanding of system performance and scaling
- Possess excellent communication, sharp analytical abilities with proven design skills, able to think critically of the current system in terms of growth and stability
- Data modeling experience in both Relational and NoSQL databases
- Continuously refactor applications to ensure high-quality design
- Ability to plan, prioritize, estimate and execute releases with good degree of predictability
- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks
- Passion for learning new things, solving challenging problems
- Ability to get stuff done!
Nice to have
- Familiarity with Golang ecosystem
- Familiarity with running web services at scale; understanding of systems internals and networking are a plus
- Be familiar with HTTP/HTTPS communication protocols.
Abilities and Traits
- Ability to work under pressure and meet deadlines
- Ability to provide exceptional attention to details of the product.
- Ability to focus for extended periods of repetitious activity.
- Ability to think ahead and anticipate problems, issues and solutions
- Work well as a team player and help the team members to resolve issues
- Be committed to quality and be structured in approach
- Excellent and demonstrable concept formulation, logical and analytical skills
- Excellent planning, organizational, and prioritization skills
Location - Chennai - India
Join our team and let's groove together to the rhythm of innovation and opportunity!
Your Buddy
Tazapay


Title/Role: Python Django Consultant
Experience: 8+ Years
Work Location: Indore / Pune /Chennai / Vadodara
Notice period: Immediate to 15 Days Max
Key Skills: Python, Django, Crispy Forms, Authentication, Bootstrap, jQuery, Server Side Rendered, SQL, Azure, React, Django DevOps
Job Description:
- Should have knowledge and created forms using Django. Crispy forms is a plus point.
- Must have leadership experience
- Should have good understanding of function based and class based views.
- Should have good understanding about authentication (JWT and Token authentication)
- Django – at least one senior with deep Django experience. The other 1 or 2 can be mid to senior python or Django
- FrontEnd – Must have React/ Angular, CSS experience
- Database – Ideally SQL but most senior has solid DB experience
- Cloud – Azure preferred but agnostic
- Consulting / client project background ideal.
Django Stack:
- Django
- Server Side Rendered HTML
- Bootstrap
- jQuery
- Azure SQL
- Azure Active Directory
- Server Side Rendered/jQuery is older tech but is what we are ok with for internal tools. This is a good combination of late adopter agile stack integrated within an enterprise. Potentially we can push them to React for some discreet projects or pages that need more dynamism.
Django Devops:
- Should have expertise with deploying and managing Django in Azure.
- Django deployment to Azure via Docker.
- Django connection to Azure SQL.
- Django auth integration with Active Directory.
- Terraform scripts to make this setup seamless.
- Easy, proven to deployment / setup to AWS, GCP.
- Load balancing, more advanced services, task queues, etc.


XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Job Description
● Solicits and maintains network of prospects
● Sells products and/or services and develops new account relationships
● Initiates contact with prospective customers to sell targeted products
● Demonstrates and showcases capabilities of the products/platforms
● Works as a member of a sales team to sell assigned products or services to identified
key accounts
● Demonstrates product knowledge including various solutions, markets and competitive
intelligence
● Prepares and presents proposals to clients utilizing company resources and tools.
● Negotiates, structures and closes "deals" that meet customer expectations and
company ability to deliver; utilizes appropriate company resources per the resources
plan to provide product marketing support or specialized product sales expertise
● Assists in the development of sales plans and strategies.
● Meets sales goals and objectives.
● Other related duties assigned as needed
Education requirement
● Bachelor's degree or the equivalent combination of education, training, or work
experience
General knowledge, skills & abilities
● Good experience and understanding of rewards, incentives and gift card industry
● General knowledge of Human Capital Management, Compensation and Benefits
platforms including systems and applications
● Requires expert negotiation and communication skills, both written and verbal
● Requires solid decision-making and problem solving skills
● Analytical skills are required to determine client business needs and requirements
● Ability to remain calm under various levels of pressure
● Ability to show established track record of involvement in industry trade groups preferred
● Requires the ability to establish and maintain effective working relationships with all
levels of management (internally/externally), employees, clients and public
● Travel will be required
company job level description
● 5 to 10 years field sales experience in a similar industry
● Needs to be a self-starter working with minimal supervision
● Mid-level quota carrying position with a career path to a sales leadership role
● Decisions are made within established policies and standard practices
● Learns to use professional concepts
● Applies company policies and procedures to resolve routine issues
● Is required to have good knowledge of company products and services
● May have own territory or work on a team
What can you look for?
A wholesome opportunity in a fast-paced environment that will enable you to juggle between
concepts, yet maintain the quality of content, interact and share your ideas and have loads of
learning while at work. Work with a team of highly talented young professionals and enjoy the
benefits of being at company.
We are
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF,
Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls, and
Compass.company works with over 1000 global clients. We help our clients in engaging and
motivating their employees, sales teams, channel partners, or consumers for better business
results.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will
wait for a reasonable time of around 3-5 days before we screen the collected applications and
start lining up job discussions with the hiring manager. We however assure you that we will
attempt to maintain a reasonable time window for successfully closing this requirement. The
candidates will be kept informed and updated on the feedback and application status
GaragePlug Inc
GaragePlug is one of the fastest-growing Automotive tech startups working towards revolutionising the automotive aftermarket industry with strong state-of-the-art technologies.
Position: Backend Developer (Java Spring Boot)
As we plan to grow, we have many challenges to solve. Some of the new features and products that are already in the pipeline include advanced analytics, search, reporting etc., to name a few. Our present backend is based on the microservices architecture built using Spring Boot. With growing complexity, we are open to using other tools and technologies as needed.
We are looking for a talented and motivated engineer to join our fleet and help us solve real-world problems in this exciting field. Join us and share the dream of building the next generation online platform for the Auto industry.
Experience: 1+ years of experience
What you'll do :
- End to end systems development
- Ownership of complete systems from development to production and maintenance
- Infrastructure management on AWS
- Technologies you'll use :
- Microservices, AWS, Java, Spring-boot
- Nginx
- PostgreSQL, Redis
- ElasticSearch
- Gradle / Maven
- Any cool piece of technology that you can bring onboard.
What you are :
- You love technology and are always open to learning new tools
- You are a self-starter
- You are proficient in Java, SQL
- You have good knowledge of Databases: RDBMS/Document
- You have worked with server technologies: Spring / Dropwizard / Tomcat/Spring Boot
- You have a good understanding of REST API design
- You believe in clean and maintainable code
Location Fully Remote / Bangalore
Apply through this link
https://garageplug.freshteam.com/jobs/H-qGPrivc4pt/backend-engineer-2" target="_blank">https://garageplug.freshteam.com/jobs/H-qGPrivc4pt/backend-engineer-2


