Sr.Customer Support Representative

Key Responsibilities:

• Develop and maintain scalable and performant full-stack web applications
• Collaborate with UI/UX designers and backend teams to implement responsive, user-friendly interfaces
• Write unit tests using Jest and ensure code quality and reliability
• Develop RESTful APIs using Node.js and NestJS framework
• Utilize Docker Compose for local development and deployment
• Manage and optimize MySQL databases, including views, stored procedures, and performance tuning
• Implement access control mechanisms using identity providers like Okta or Auth0
• Document APIs using tools like SwaggerUI and Postman
• Participate in sprint planning, code reviews, and team stand-ups via JIRA and Confluence
• Use Git for version control and manage merge requests and branches effectively
• Integrate application loggers for monitoring and diagnostics

Must-Have Skills:

• Proficiency in HTML, CSS, SASS/SCSS
• Strong hands-on experience with Angular 18 or higher
• Familiarity with Angular Material or similar UI component libraries
• Experience with Node.js and NestJS 10+
• Working knowledge of Docker Compose
• Strong SQL skills and experience with MySQL
• Understanding of authentication and authorization best practices with Okta, Auth0, etc.
• Comfort using Postman, SwaggerUI, Git, and logging tools
• Familiarity with agile development processes and using JIRA and Confluence

Nice to Have:

• Experience with form builders like Formsite or FormSort
• Knowledge of data encryption best practices
• Prior experience in the public health or POSIT (Public Health Informatics) domain

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 3–6 years of experience in full-stack development
• Strong communication skills and the ability to work independently in a remote team environment

Availability to work UK shift hours to ensure overlap with the US-based client

Key Responsibilities:

• Develop and implement effective sales strategies to achieve and exceed business targets in the IT solutions space.
• Identify and pursue new business opportunities through market research, cold calling, referrals, and networking within target industries.
• Regularly visit industrial and commercial business areas to identify potential clients and expand market reach.
• Build and maintain strong, long-term relationships with clients, including developing personal rapport and trust at all organizational levels.
• Conduct on-site client visits to understand business needs, provide consultations, and ensure continued engagement and satisfaction.
• Deliver tailored product presentations and demos, showcasing ERP, CRM, HRMS, and automation solutions relevant to the client’s industry.
• Negotiate contracts, pricing, and terms aligned with company standards and customer expectations.
• Work closely with internal product, marketing, and support teams to deliver complete and customized solutions.
• Generate client leads through satisfied customer referrals and word-of-mouth.
• Stay updated on market trends, competitor offerings, and sector-specific challenges in industries such as manufacturing, healthcare, textile, and automotive.
• Maintain accurate records of sales activities, client interactions, and pipeline progress using CRM tools.

Qualifications & Skills:

• Education: Bachelor's degree in Business, Marketing, Information Technology, or a related field (preferred).
• Experience: 2–5 years of B2B sales experience in IT solutions, especially ERP, CRM, HRMS, or automation systems. Exposure to such Softwares, proficiency in MS Office ( Word, Excel ) and more.
• Excellent interpersonal skills with the ability to build trust and long-lasting client relationships, both professionally and personally.
• Proven track record of meeting or exceeding sales targets, with strong negotiation and closing abilities.
• Confident in conducting market research, territory mapping, and direct client outreach.
• Ability to work independently while contributing effectively in team environments.
• Familiarity with CRM systems and data-driven sales reporting.
• Willingness to travel frequently for client meetings, area visits, and business development efforts.

https://graeon.ai/

• Interacting with the clients to understand their requirements and translating it to the developer to take it forward
• Acting as a liaison between end users/clients and internal teams and helping them fulfil client requests and resolving queries with optimum time and efforts
• Contributing to implement various solutions in the existing process flow of clients using our products and helping to communicate concepts to the product team to enhance the future product requirements

Desired Candidate Profile

• CA, CFA, or related field
• Excellent communication and task management skills
• In depth knowledge of the various Income Tax Department websites, portals, and their workings, etc
• In depth knowledge of the Income Tax Department rules, regulations, guidelines, due-dates, services, facilities, etc
• In depth knowledge of Income Tax return filing processes using XML Upload, JSON Upload, Prefilled JSON, etc
• In depth knowledge of the Income Tax Filing Regimes
• In depth knowledge of Income Tax XML responses, JSON responses, data points pertaining to calculation of Financial Rations, Balance Sheet, P&L, etc
• In depth knowledge of E-Return Intermediaries and their rules, regulations, guidelines, permissions, compliances, etc
• Passable knowledge of GST, GST Portal and GST filing processes
• A good working knowledge of the financial industry and regulatory environment
• Ability to quickly grasp the various data sources that the company covers and gaining a hold over them over a period of time
• Understanding and translating statistics to address client business problems and liaisoning with the analytics team to build and deliver custom solutions
• Good understanding of Data query languages like SQL, MS Office, R/Python (good to have) and other statistical analysis tools
• Ability to be creative, analytical, and think outside the box to solve problems

Requirements:

• 3 - 6 years of relevant experience.
• Strong Experience in Ruby and web frameworks like Ruby on Rails
• Should have good knowledge and work experience in REST API implementations, JSON format handling, rails cache, sessions, multi-threading, etc.
• Ability to write clean Ruby code.
• Proficiency with code versioning tools including Git, Github,
• AWS experience, MySQL, PostgreSQL
• 3+ years of design & amp; development of server-side components in Ruby on Linux platform
• Proficient in Relational Database schema design, development with ActiveRecord, and query performance tuning.

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification