11+ Functional requirements Jobs in Pune | Functional requirements Job openings in Pune
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Responsibilities:
- Participate and lead Business Requirements gathering, documentation of BRD and overall Solution design.
- Implementation of designed system in NetSuite and support to project team.
- Ensure the best practices implementation based on Industry standard.
- Need to be involved on Reviews, check feasibility of solution and functional fitment as per NetSuite and align customer expectations and NetSuite capabilities to ensure smooth project delivery.
- Prepare test cases of modules implemented, validate the deliverables before Client testing and UAT.
- Follow up with Client and Support for issue resolution.
- Documenting the resolution of issues and sharing with the internal team on ongoing basis.
- Interact with the key end users and business owners to map applications to standard business processes and conduct gap analysis
- Suggest process improvements based on the application capability and industry best practices
- Support all formal documentation of implementation and provide relevant functional inputs to technical team
- Contribute to the training and development of key NetSuite team.
- Support in Pre Sales, demos and estimates as an when required.
- Ensure weekly Client reporting and support to Project Management team.
Qualifications/Skills:
- Bachelor’s degree preferably in Engineering, MCA, MSC, or Accounting.
- Minimum 5 years’ experience in NetSuite with 8 to 10 years of end-to-end in NetSuite Implementation.
- Good knowledge of all NetSuite Modules with strong understanding of functional processes
- NetSuite Foundation / ERP Consultant certification preferred.
- Demonstrated experience in translating customer business requirements into workable business solutions, preferably on SaaS.
- Strong Database Management Systems (DBMS) & Software Development Profile
- Mandatory (Experience): Must have 4+ years of industry experience in DBMS & Software Development with expertise in Data Engineering.
- Mandatory (Skills 1): Must have strong experience relational databases like MySQL, PostgreSQL, Oracle and NoSQL systems like MongoDB, Cassandra
- Mandatory (Skills 2): Must have Hands-on experience with query optimization, database design, data warehousing, database security, normalization, indexing, and performance tuning
- Mandatory (Skills 3): Must have Hands-on experience with managed cloud database services such as AWS RDS, Azure SQL, or Google Cloud Spanner
Preferred
- Preferred (Skills 1): Prior experience as a DBMS instructor, trainer, or tutor with excellent communication and presentation skills
- Preferred (Skills 2): Certifications in database technologies like Oracle DBA, Microsoft SQL Server, AWS Certified Database Specialist are a plus
ROLES & RESPONSIBILITIES:
• A thorough study of the brand, its values, deliverables, upgrade systems and good communication skills with the client is required.
• A thorough study of the existing product list and their materials is required.
• Management of front desk operations & point of sales
• Receive and respond to customer enquiries as required
• Acquire a thorough understanding of Key customer needs and requirements
• Identify business opportunities by identifying prospects and evaluating their position in the industry; researching and analyzing sales options.
• Engagement in Strategic Planning of Sales and BD
• Setting up meetings with the prospective clients
• Presenting product/ service demonstrations to the client
• Establishing new business links
• Seek new opportunities through networking, cold calling, and social media channels
• Expand the relationships with existing customers by continuously proposing solutions that meet their requirements
• Custom orders or modifications: If there are any requests to personalise the size / material / module / design of an existing product, all the details must be coordinated with the support of the Product
• Design Head (PDH). All inputs need to be communicated with the client, keeping the PDH in Email CC. All finalised details must be thoroughly mentioned in the email and the Proforma invoice before payment confirmation
• Organise to send swatches when asked by clients. All the swatches need to be tagged with the correct coding that is registered by both parties (Client and Design studio)
• Prepare Proforma Invoice as per finalised requirement in the standard software used by the company.
• Ensure all client records are well maintained, accurate and current.
• Organise for payments, provide necessary information and make sure for timely sales. Keep accounts department informed and in email CC at all times.
• Ensuring payment and cash transaction are carefully managed for accuracy and consistency.
• Communicate sales with accounts department and OM at all times.
• Send order confirmation email (As per draft) once the payment is cleared. All such details to be confirmed with OM before sending
• Details will be > Estimated production time, and tentative Delivery date > Shipping time frame > Details with regards to any changes in order before xxx time
• Delivery confirmation email: All necessary information to be gathered from client (As per draft)
> Billing details (Name, address, GST no)
> Shipping details (Name, address, contact person who will receive the consignment)
> Information for Unloading of material
> Width for entry of big sized tempo through the lane / entry gate > Alloted space for parking, and unloading of material, distance to the elevator . staircase
> Floor no / number of flights for stairway
> Availability of service elevator OR Availability of Passenger elevator
> Width of Staircase. Furniture placement guidance / actual space for to keep material.
> Update Client for scheduled timings and any other important communication.
> Keep the client informed if there are any delays with the order, or schedule the exact delivery date in accordance to their availability.
Post Delivery:
• Update from client post delivery and acceptance of goods. Logistics Incharge, SM & OM to be informed of the status of the delivery. Any update or details to be immediately communicated via email to keep record of the conversation.
• Any mishaps or grievances to be addressed by email followed with the necessary acton / solution after consulting with the OM.
• After Sales Service: Thank you email - stating Warranty details
• Assembly Booklet and arrange a video call for assembly assistance, if required.
• Returns & Damages.
• Resolve any complaints, additional requirements post delivery
of goods. All information to be communicated to the necessary department. Any rework, design update, product replacement to be communicated with the OM & OP and PDH. Commitments and solution to be addressed only after approval of the OM.
• Maintaining files and filing system
• Completion of administrative tasks as assigned by Office Manager
• A big part of your job involves gathering and analysing data to help you understand your customer base and coming up with suggestions for improving the existing strategy.
• Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.
• Take feedback from customers and share it with support teams
• Prepares reports by collecting, analyzing, and summarizing information.
• Maintains quality service by establishing and enforcing organization standards.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
• Contributes to team effort by accomplishing related results as needed.
• Liaise with other managers to plan future development and strategies for the overall growth of the company.
As an eCommerce Website Developer at Ranka Jewellers, you will be responsible for the development, management, and optimization of our online jewelry store. You will collaborate with our design and marketing teams to ensure that our website reflects the luxurious and timeless nature of our products while providing a smooth, secure, and enjoyable shopping experience for customers.
Key Responsibilities:
- Develop & Maintain: Build and manage the eCommerce website, ensuring it reflects the brand’s luxury image while being functional, intuitive, and easy to navigate.
- Platform Expertise: Work with platforms such as [Shopify, WooCommerce, Magento, etc.], ensuring smooth integration with our existing systems and tools.
- Responsive Design: Implement responsive designs that provide an optimal user experience across all devices—desktop, mobile, and tablet.
- Payment & Shipping Integration: Ensure seamless integration of payment gateways (e.g., Razorpay, Paytm, etc.) and shipping providers, with secure transactions.
- SEO & Performance Optimization: Implement best practices for eCommerce SEO to enhance online visibility and drive organic traffic. Optimize website performance, load speed, and security.
- UI/UX Enhancements: Continuously improve the user interface (UI) and user experience (UX) of the website, aligning it with the luxury aesthetic of Ranka Jewellers while making the purchasing process as simple as possible.
- Product Management: Regularly update and manage product listings, images, descriptions, pricing, and promotions, ensuring everything is accurate and up-to-date.
- Analytics & Reporting: Monitor and analyze key website performance metrics (e.g., sales conversion, traffic) to inform decisions and identify areas for improvement.
- Collaboration: Work closely with our marketing and design teams to create promotional campaigns, seasonal launches, and online events, ensuring technical execution aligns with the brand vision.
Requirements:
- Proven experience in eCommerce website development, with a strong portfolio showcasing previous work (experience in jewelry or luxury goods is a plus).
- Proficiency in web development languages like HTML, CSS, JavaScript, and PHP.
- Familiarity with leading eCommerce platforms like Shopify, WooCommerce, Magento, or similar.
- Strong knowledge of SEO principles and eCommerce-specific SEO strategies.
- Experience integrating payment gateways, shipping solutions, and third-party plugins.
- Familiarity with Google Analytics, Google Tag Manager, and other performance tracking tools.
- Attention to detail with an eye for design, ensuring the website reflects the high-end nature of Ranka Jewellers.
- Strong problem-solving skills with the ability to handle multiple tasks and deadlines effectively.
- Ability to work independently while collaborating with cross-functional teams.
Preferred Qualifications:
- Experience with advanced JavaScript frameworks (e.g., React, Vue).
- Knowledge of cloud hosting platforms (AWS, Google Cloud, etc.) or website security best practices.
- Understanding of the luxury jewelry market and the unique needs of online jewelry sales (e.g., high-resolution product photography, secure transactions, customization options).
- Ability to suggest and implement innovative features to improve the shopping experience for customers.
Why Ranka Jewellers?
- At Ranka Jewellers, you will have the opportunity to work with a passionate and talented team in a fast-growing company that values creativity, craftsmanship, and customer satisfaction. We offer a competitive salary, flexible work arrangements, and an opportunity to contribute to the digital transformation of a trusted brand in the jewelry industry.
Location : Pune
Notice Period : Immediate to 15days
JD
- Expertise Area – CMS is must
- Preference – Prior SBIC working experience
Job Title: SEO Intern
Company: InternetSoft
Location: Pune
Working Hours: 2:00 PM to 11:00 PM
Duration: 3 Months Internship (Possibility of Full-Time Employment Based on
Performance)
Job Description:
InternetSoft is seeking a motivated and detail-oriented individual to join our team as an
SEO Intern. This is an exciting opportunity for someone passionate about digital
marketing and eager to gain hands-on experience in the field of Search Engine
Optimization.
Responsibilities:
Keyword Research:
● Conduct keyword research to identify potential target keywords for our
products/services.
● Analyze keyword competitiveness and trends to enhance website visibility.
On-Page Optimization:
● Assist in optimizing website content, meta-tags, and other on-page
elements for SEO best practices.
● Collaborate with content creators to ensure content aligns with SEO
strategies.
Off-Page Optimization:
● Support link-building initiatives through outreach and relationship building.
● Monitor and analyze backlink profiles to ensure a healthy link portfolio.
SEO Analytics:
● Utilize tools such as Google Analytics to track website performance.
● Generate and analyze SEO reports to measure the effectiveness of
optimization strategies.
Competitor Analysis:
● Conduct regular competitor analysis to identify opportunities for
improvement.
● Stay updated on industry trends and algorithm changes.
Technical SEO:
● Work on technical aspects of SEO, including website structure, redirects,
and site speed.
● Collaborate with the development team to implement SEO-friendly
changes.
Qualifications:
● Currently pursuing or recently completed a degree in Marketing, Business, or
related field.
● Basic understanding of SEO principles and best practices.
● Strong analytical and problem-solving skills.
● Excellent written and verbal communication skills.
● Familiarity with SEO tools such as Google Analytics, SEMrush, or Moz is a plus.
Working Hours:
The working hours for this position are from 2:00 PM to 11:00 PM.
Internship Duration:
This is a 3-month internship position. Successful interns may have the opportunity for
full-time employment based on performance.
Java
Spring BootFor a decade and a half, MAG Finserv has assisted 1 lakh+ customers in overcoming their financial obstacles growing its loan book 60 times. Our partners include leading Banks like SBI, Federal Bank, City Union Bank among others. We are growing out of our home State Maharashtra and setting up a pan-India presence.
People are at the core of what we do. To meet the future growth targets, we are setting up a ninja technology team and offer a rewarding career with learning and growth. We offer a flexible hybrid model for maintaining a healthy work-life balance.
Responsibilities:
● Design, implementation, and deployment of successful LOS/LMS system features and services in support of our lending operations and the businesses they support
● Resolve bugs in the software features and deliver them on time with high quality
● Participate in the definition of secure, scalable, and low-latency services and efficient physical processes
● Work with cross-functional teams delivering on demanding projects
● Functionally decompose complex problems into simple, straight-forward solutions
● Understand system inter-dependencies and limitations
Requirements:
● Engineering degree in Computer Science/IT with a good academic performance throughout
● 5+ years of experience in developing applications end-to-end
● 1+ years of system design or architecture experience (architecture, design patterns, reliability and scaling) of new and current systems
● Expertise in Java, Spring Boot, Spring MVC, Angular and ruby on Rails tech stacks
● Functional understanding/experience of finance/lending domain is a plus
● Functional/Technical understanding of apache fineract/mifos is a plus
Location: Hybrid in Pune, Maharashtra
Data Science
Machine Learning (ML)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.
React Native
React.js
Javascript- Hands-on experience with React Native (2+ years).
- Experience with popular React workflows (such as Flux or Redux).
- Integrating backend REST APIs
- Passion about complex, interactive applications with a thoughtful UX/UI.
- Should be able to understand project requirements thoroughly.
- A deep understanding of the importance of building maintainable, efficient, clean code, while balancing the urgency of business needs.
- Collaborative attitude and experience working with cross-functional teams.
- Responsible for driving & delivering cross-platform mobile applications.
- Responsible for architecting, solutioning of the project in the requirement phase;
- Responsible for working with the team & enhancing the collaboration, adding value to the project with critical thinking on project design.
- Responsible for integrating the REST APIs
Help product companies uplift their product to the next
Java
HTML/CSSJavascript
AngularJS (1.x)● Must have worked on Java and hands on experience on frameworks (like Spring),
database layers (like iBatis, Hibernate, etc.)
● Experience on web application & RESTful web service development.
● Build the front-end of applications through appealing visual design and Integrating our
front-end UI with the constructed API.
● Hands on UI experience in HTML, JS, CSS, Bootstrap, AngularJS 4/5/6, React,
JavaScript, XML, JQuery, Ionic 3/4 & Node JS.
● Hands on experience on project life cycle activities on development and maintenance
projects including creating Junit, Unit testing, Code reviews etc.
● To lead the development and lifetime maintenance of software products, as required to
enhance product line. You are also responsible for managing the continuous
improvement process within the software product’s lifecycle.
● Development of planned tasks, participate in the entire application lifecycle, focusing
on coding, Troubleshoot and debugging.
● Work closely with clients on issues related to design and development.
● Collaborate with Front-end developers to integrate user-facing elements with
server-side logic.
● Knowledge of Application server/container configuration management and application
deployment (whether it is Tomcat, JBoss, etc).
● Experience on web application, OOPs, Design Patterns, Interface, Serialization and Git
Version control.
● Ability to handle a team in a diverse/ multiple stakeholder environment.
● Must think logically and be a self-motivated problem solver.
● Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces
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