Telesales Representative

Review Criteria

• Strong Product Designer profile.
• Minimum 5+ years of experience in end-to-end Product Design (UI + UX) for B2B SaaS products or consumer tech products.
• Must have hands-on experience in both UX and UI, including User Research, User Journey Mapping, Wireframing, Prototyping, and Visual Design.
• Must have a strong design portfolio showcasing case studies of complete product design work — including UX-focused projects such as user research, personas, user flows, information architecture, and high-fidelity UI designs for B2B dashboards, SaaS products, or consumer-facing apps.
• Must be proficient in design tools such as Figma (wireframing, prototyping, design systems).

Role & Responsibilities

As we continue to scale, we are looking to hire a dynamic and results-driven Senior Product Designer to join our growing team at company. You will be playing a key role in building solutions and driving forward the product roadmap. You will be deeply engaged in understanding our customers, prioritizing pain points to solve, converting them into detailed stories, and seeing them through.

What we’re looking for:

• Minimum 4-6 years in a Product Design or similar role (UX/UI Design).
• A portfolio of work displaying high quality, user experience-focused design and problem-solving.
• Strong understanding of User-Centered Design Processes, Design Principles, and Systems.
• Proficiency in design and wireframing tools (e.g., Figma).
• Excellent communication skills to clearly convey ideas to stakeholders.
• Strong time-management skills, with a proactive approach to meeting goals efficiently.
• Product sense and craftsmanship. You will own important product interactions with every company customer and should show the attention to detail this responsibility deserves.
• You listen well. You build consensus by default, but can drive hard decisions when needed. You push the pace. You take blame and pass on praise. People love working with you.

Ideal Candidate

• Collaborate with product managers and analysts to gather and assess user needs.
• Conduct interviews with customers to identify pain points and map out user journeys.
• Effectively present design ideas to developers and stakeholders.
• Identify and resolve UX issues.
• Create mockups and prototypes to demonstrate feature functionality and appearance.
• Convert wireframes into detailed UI designs.
• Maintain and develop a cohesive design language system for our core product.

The Logistics Executive is responsible for managing and coordinating end-to-end logistics and shipping operations to ensure timely, cost-effective, and compliant movement of goods. The role involves close coordination with internal teams, freight forwarders, CHA, transporters, vendors, and third-party agencies to support smooth export and import operations.

Key Responsibilities

• Negotiate ocean freight rates with shipping lines and freight forwarders and arrange competitive quotations as per shipment requirements.
• Provide daily freight rate updates to concerned internal departments.
• Book vessels and containers in line with shipment schedules and customer commitments.
• Track and update daily shipment status in Excel/MIS sheets and circulate updates to stakeholders.
• Monitor container lift-on, lift-off, gate-in, gate-out, and stuffing activities to ensure operational accuracy.
• Supervise daily container stuffing and coordinate with operations teams to avoid delays or discrepancies.
• Monitor the movement of export documents and ensure timely submission to CHA, forwarders, banks, and customers.
• Coordinate with CHA, forwarders, transporters, vendors, and internal operations teams for smooth shipment execution.
• Track shipments from origin until final delivery at destination and resolve transit-related issues.
• Handle coordination for third-party agency certifications, inspections, and related documentation.
• Monitor freight, transportation, and logistics invoices and coordinate with Accounts department, CHA, forwarders, and vendors for verification and payment processing.
• Identify, track, and report additional local charges and cost variations to management.
• Follow up with forwarders for release of Delivery Orders (D.O.), container availability, and booking confirmations.
• Handle troubleshooting situations such as delays, rollovers, documentation issues, port congestion, or operational challenges.
• Prepare and maintain daily, weekly, and monthly MIS reports for management review.

Reporting & Documentation

• Conduct periodic reporting of all logistics and shipment-related activities.
• Manage documentation, filing, and record-keeping in compliance with company and regulatory requirements.
• Prepare reports as required by the Reporting Manager, Directors, or Managing Director.

Ad-hoc & Development Activities

• Assist in ad-hoc logistics and operational activities as assigned.
• Develop, review, and update Standard Operating Procedures (SOPs) to improve efficiency and compliance.
• Participate in periodic logistics-related visits and meetings with vendors, CHA, forwarders, and service providers as required for smooth operations.

Skills & Competencies

• Strong knowledge of logistics, shipping, and export/import procedures
• Excellent coordination and communication skills
• Proficiency in MS Excel and MIS reporting
• Good negotiation and cost-control abilities
• Strong problem-solving and troubleshooting skills
• Ability to multitask and work under deadlines

Should have at least 1 to 3 years of project/program management experience in Financial Services/Banking/NBFC/Fintech companies only.

Hands-on proficiency in data analysis and SQL querying, with ability to work on large datasets

Ability to lead end-to-end implementation projects and manage cross-functional teams effectively.

Experience in process analysis, optimization, and mapping for operational efficiency.

Strong client-facing communication and stakeholder management capabilities.

Good expertise in financial operations processes and workflows with proven implementation experience.

Responsibilities: 

• Responsible for monitoring project deliverables on day to day basis 
• Required to update relevant stakeholders or team members on the project's progress. 
• Assist, train, and ensure project team members with tasks that you have assigned to them. 
• Test the product modules and manage the change request, bug reports, etc. 
• Assist project managers in the planning, execution, and monitoring of projects Develop and maintain project plans, timelines, and progress reports. 
• Facilitate communication between intern stakeholders, clients, vendors, and management. 

Qualifications:

•  Bachelor's Degree or equivalent experience. 
• 3+ years of relevant Project Management experience. 
• Strong verbal, written, and organizational skills for documentation, user stories, etc. 
• Proficient in MS Excel, and Presentation. Proficient in Jira, Confluence, and Notion is a plus. 
• Excellent organizational and time-management skills. 
• Strong communication skills, both verbal and written. 
• Ability to work well in a team environment. 
• Experience with project management tools and software. 
• Ability to identify project risks and issues, and develop mitigation plans.

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes

Job Title : Talent Acquisition Sourcers

Roles and responsibilities:

• Sourcing candidates from various job portals.
• Conducting the initial screening rounds.
• Scheduling interviews with candidates and panel members.
• Job Posting for Portals, Social Media and External Sources.
• Preparing the Resource tracker Weekly, Monthly, Quarterly MIS.
• Conducting the Weekend Recruitment Drives.
• Worked on PPT and various ways of presenting data as a story/theme.
• Have managed high volume of data and MIS in past.
• Should have worked with corporates earlier.

Requirement:

• MBA (HR) / Graduate
•  have spent 70% doing IT recruitment & 30% non-it
• Ability to articulate confidently
• Excellent communication skills (written & verbal)
• Strong analytical skills
• Contract period : 1year

Website: https://nowpurchase.com/" target="_blank">https://nowpurchase.com  

LinkedIn: https://www.linkedin.com/company/nowpurchase/" target="_blank">https://www.linkedin.com/company/nowpurchase/

Summary
Our Kafka developer has a combination of technical skills, communication skills and business knowledge. The developer should be able to work on multiple medium to large projects. The successful candidate will have excellent technical skills of Apache/Confluent Kafka, Enterprise Data WareHouse preferable GCP BigQuery or any equivalent Cloud EDW and also will be able to take oral and written business requirements and develop efficient code to meet set deliverables.

Must Have Skills

• Participate in the development, enhancement and maintenance of data applications both as an individual contributor and as a lead.
• Leading in the identification, isolation, resolution and communication of problems within the production environment.
• Leading developer and applying technical skills Apache/Confluent Kafka (Preferred) AWS Kinesis (Optional), Cloud Enterprise Data Warehouse Google BigQuery (Preferred) or AWS RedShift or SnowFlakes (Optional)
• Design recommending best approach suited for data movement from different sources to Cloud EDW using Apache/Confluent Kafka
• Performs independent functional and technical analysis for major projects supporting several corporate initiatives.
• Communicate and Work with IT partners and user community with various levels from Sr Management to detailed developer to business SME for project definition .
• Works on multiple platforms and multiple projects concurrently.
• Performs code and unit testing for complex scope modules, and projects
• Provide expertise and hands on experience working on Kafka connect using schema registry in a very high volume environment (~900 Million messages)

• Provide expertise in Kafka brokers, zookeepers, KSQL, KStream and Kafka Control center.
• Provide expertise and hands on experience working on AvroConverters, JsonConverters, and StringConverters.
• Provide expertise and hands on experience working on Kafka connectors such as MQ connectors, Elastic Search connectors, JDBC connectors, File stream connector,  JMS source connectors, Tasks, Workers, converters, Transforms.
• Provide expertise and hands on experience on custom connectors using the Kafka core concepts and API.
• Working knowledge on Kafka Rest proxy.
• Ensure optimum performance, high availability and stability of solutions.
• Create topics, setup redundancy cluster, deploy monitoring tools, alerts and has good knowledge of best practices.
• Create stubs for producers, consumers and consumer groups for helping onboard applications from different languages/platforms.  Leverage Hadoop ecosystem knowledge to design, and develop capabilities to deliver our solutions using Spark, Scala, Python, Hive, Kafka and other things in the Hadoop ecosystem. 
• Use automation tools like provisioning using Jenkins, Udeploy or relevant technologies
• Ability to perform data related benchmarking, performance analysis and tuning.
• Strong skills in In-memory applications, Database Design, Data Integration.

• Total Experience of 7-10 years and should be interested in teaching and research
• 3+ years’ experience in data engineering which includes data ingestion, preparation, provisioning, automated testing, and quality checks.
• 3+ Hands-on experience in Big Data cloud platforms like AWS and GCP, Data Lakes and Data Warehouses
• 3+ years of Big Data and Analytics Technologies. Experience in SQL, writing code in spark engine using python, scala or java Language. Experience in Spark, Scala
• Experience in designing, building, and maintaining ETL systems
• Experience in data pipeline and workflow management tools like Airflow
• Application Development background along with knowledge of Analytics libraries, opensource Natural Language Processing, statistical and big data computing libraries
• Familiarity with Visualization and Reporting Tools like Tableau, Kibana.
• Should be good at storytelling in Technology