- 3 to 6 years of experience as a Salesforce Developer.
- Extensive experience in developing Lightning Components (SLDS as well as custom)
- Experience in Lightning Web Components must
- Aura component
- Good functional understanding of Sales and Service Cloud
- Hands-on experience in point and click features such as Workflows, Approval Process, Validation Rules, Data Migration, Data Loader
- Should have one additional skill along with the custom development
- Good understanding of scenarios to use Process Builder, Visual Workflow, Lightning App Builder, etc.
- Apex, Apex data loader, Apex Classes, Apex Triggers and declarative platform-tools
- Ability to take client calls independently and clearly articulate and discuss project status and requirements regarding the project.
- Open to travel abroad for short term / long term assignments
- Good knowledge of APIs/integration preferred
- Preferred Certification (Platform Developer I App Builder | Admin 201 )

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Job description
Title-Full stack Developers
Job type-Full Time
Skills - Java , Spring Boot , SQL Server , PostgreSQL , MangoDB , Angular Js , Type Script , Microservice Architecture , Kafka , GIT , Git Flow Development , AWS , Azure , APIs , Web Services , CI/CD Pipeline , Agile/SCRUM , DataDog
Location- Hyderabad - Telangana
Experience- 6 to 9 Years
Annual CTC INR : 23 LPA - 28 LPA
Dead Line - 07/04/2025
Job Description
Position: Fullstack Developer
Location: Hyderabad, India
Employment Type: Full-Time
Open Positions: 7
Role Overview:
We are seeking experienced Fullstack Developers with 6-9 years of expertise in designing, developing, and maintaining scalable, distributed applications. The ideal candidate will be proficient in Java, Spring Boot, AngularJS, and TypeScript, with strong experience in cloud-based development, CI/CD pipelines, and Agile methodologies.
Key Responsibilities:
- Troubleshoot and resolve complex data, system, and software issues in production.
- Develop emergency bug fixes and manage production applications.
- Ensure production issues are resolved within SLA timelines.
- Deploy application changes using CI/CD pipelines.
- Review and manage production changes using ServiceNow.
- Lead scrum teams in Agile environments, ensuring high-quality technology solutions.
- Develop and enhance application frameworks with a focus on performance and scalability.
- Implement unit tests, container build checks, and API tests to support shift-left practices.
- Evaluate new platforms, tools, and technologies to optimize development workflows.
- Provide technical guidance, code reviews, and mentorship to team members.
Required Technical Skills:
- Strong experience in Java and Spring Boot application development.
- Proficiency in RDBMS (SQL Server/PostgreSQL) and NoSQL (MongoDB/ElasticSearch).
- Hands-on experience with AngularJS, TypeScript, and event-driven architecture.
- Solid understanding of messaging queues like Kafka.
- Expertise in Git and Git flow for code lifecycle management.
- Cloud experience with AWS or Azure, including API and web service development.
- Hands-on experience with CI/CD deployment pipelines and DevOps tools.
- Familiarity with monitoring tools such as Datadog, Dynatrace.
Nice to Have:
- Experience with Azure DevOps, SonarQube, and monitoring tools like StatsD.
- Test automation expertise.
Soft Skills & Leadership:
- Excellent problem-solving and analytical abilities.
- Strong communication and stakeholder management skills.
- Ability to lead Agile teams and drive best development practices.
Additional Requirements:
- Must be available to join within 3 weeks.
- Willing to attend face-to-face interviews as per company requirements.
- Open to relocating to Hyderabad if not already based there.
We are looking for an Executive Assistant who will play a crucial role in ensuring the smooth and efficient operation of our accounting firm. The successful candidate will provide comprehensive administrative and basic accounting support to our team of professionals, enabling them to focus on delivering outstanding financial solutions to our clients.
Key Responsibilities:
- Administrative Support: Manage calendars and schedules for senior executives.
- Coordinate internal and client meetings, appointments, conference calls.
- Provide excellent client service by addressing inquiries and ensuring documentation is received on time.
- Maintain and update internal databases and filing systems.
- Manage office supplies and liaise with vendors as required.
2.Time & Attendance: Maintain accurate records of employee attendance and work hours.
- Assist in the preparation of timesheets and payroll data.
- Invoicing and Collections: Generate and send invoices to clients accurately and in a timely manner.
- Maintain records of invoices and payment receipts.
- Monitor outstanding client payments and follow up to ensure timely collections.
- Coordinate with the finance team to resolve payment issues.
3.Tracking Budget vs. Actuals & KPI’s:
- Assist the finance department in tracking budget performance.
- Generate reports comparing budget projections with actual financial results.
- Help monitor other key performance indicators.
4.Basic Accounting Functions:
- Perform data entry of financial transactions into accounting software.
- Assist with bank reconciliations and ledger maintenance.
- Support preparation of expense reports and petty cash reconciliations.
- Help in compiling supporting documents for audits or financial reporting.
- Coordinate with the bookkeeping team on document collection and classification.
Only females are preferred
Qualifications:
- Bachelor’s degree in Business Administration, Accounting, or a related field is preferred.
- Prior experience as an executive assistant or in a similar administrative role.
- Familiarity with accounting principles and financial documents.
- Strong organizational and time-management skills.
- Excellent communication and interpersonal abilities.
- Proficiency in Microsoft Office Suite (especially Excel); familiarity with accounting software is an advantage.
Job Description for Digital Marketing Executive
About Quantum:
We are a product innovation company that supports the Transportation and Shipping industries to overcome their business challenges and be leaders in Digital Transformation. Our strength is the in-depth knowledge we hold of the Transportation and Shipping landscape. Our journey begun when we started simplifying the complexities of these businesses as far back as 2003. At the core, we aspire to impact great changes in the Transportation business through our inventions & technology. We are based in Bangalore.
Job role:
· Job role: Digital Marketing Executive
· Educational qualification: BBA/BBM/MBA
· Age limit: 28 to 32 years
· Job location: Koramangala, Bangalore. We are doing work from office model
· Years of experience: 3 to 6 years
What you will be doing:
· Responsible for formulation and execution of the company’s Digital Marketing Strategy
· Creation and management of website
· Independently managing all digital marketing activities
· Set up and management of Linked in and twitter accounts
· Writing blogs and content on digital forum to ensure visibility
· Responsible to develop and implement the Online Marketing and Brand Positioning strategies
· Create key reporting and performance indicators based on business requirements
· Brand management on the digital forum
Core skill required:
· Social Media Management
· Search Engine Optimization
· Social Media Calendar Management
· Brand Reputation Management
· Google Funnel Creation and Optimization
· Email Marketing
· Programmatic Advertising
· Google AdWords
· Meta Advertising
· LinkedIn Advertising
· Brand Management
· Off page SEO & On-Page SEO Analysis, Technical SEO
· Google Analytics
· Advanced Web Page Ranking
· Google Webmasters
· Google Search Console
· Google Trends
· Blog Management/Content Generation
Primary skills:
· 3+ years of experience as a Digital Marketing Professional
· Understanding the importance of the Website
· Experience in Email marketing and carry it to the digital forum
· Social media marketing - visibility
· Experience in branding
· Must understand page optimization and off page optimization
· Understand the value of Search engine optimization but as a complementary skill.
· Blog writing and Content generation
Secondary skills:
· Knowledge on Google certification and Google analytics, Google AdWords
· Setting up tracking systems for marketing campaigns and online activities
· Experience in Website maintenance and press releases
· Latest marketing techniques
Get in Touch or apply?
At Quantum, as much as our clients are important to us, our internal team is very valuable to us, if you invest in us, we will invest back in you through learning, recognition & an opportunity to grow. Be a part of the team that innovates for the future.
Our Social Media presence:
Website: www.quantumbso.com
LinkedIn: https://www.linkedin.com/company/quantumbso/
Company location:
Quantum BSO and Tech Pvt. Ltd, 3rd Floor, Ahad Pinnacle, #80, 5th Main, 2nd Cross, 5th Block,, Koramangala Industrial Area, Bengaluru, Karnataka 560095.


Job Description:
Machine Learning / AI Engineer (with 3+ years of experience)
We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.
Responsibilities:
1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.
2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.
3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.
4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.
5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.
6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.
7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.
Requirements:
1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.
2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.
3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.
4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.
5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.
6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.
7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.
8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders


Data engineers:
Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity
Constructing infrastructure for efficient ETL processes from various sources and storage systems.
Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.
Leading the implementation of algorithms and prototypes to transform raw data into useful information.
Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.
Creating innovative data validation methods and data analysis tools.
Ensuring compliance with data governance and security policies.
Interpreting data trends and patterns to establish operational alerts.
Developing analytical tools, utilities, and reporting mechanisms.
Conducting complex data analysis and presenting results effectively.
Preparing data for prescriptive and predictive modeling.
Continuously exploring opportunities to enhance data quality and reliability.
Applying strong programming and problem-solving skills to develop scalable solutions.
Writes unit/integration tests, contributes towards documentation work
Must have ....
6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.
High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.
Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.
Solid understanding of batch and streaming data processing techniques.
Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.
Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
Experience with RDBMS and OLAP databases like MySQL, Redshift.
Familiarity with Agile methodologies.
Obsession for service observability, instrumentation, monitoring, and alerting.
Knowledge or experience in architectural best practices for building data pipelines.
Good to Have:
Passion for testing strategy, problem-solving, and continuous learning.
Willingness to acquire new skills and knowledge.
Possess a product/engineering mindset to drive impactful data solutions.
Experience working in distributed environments with teams scattered geographically.
POSITION: SAP IN OIL & GAS
CSA - U2VCYT & U2VCYV
Relevant years of Experience: 6- 8 years of experience in IS Oil
NP- IMMEDIATE JOINER
WORK FROM OFFICE / REMOTE
LOCATION: PAN INDIA
Mandatory Skills for screening:-Good in configuration/ blueprinting/ understanding the process flow in SAP IS OIL & GAS downstream scenario mapping.
Good to have (Not Mandatory): ABAP debugging
Detailed Job Description: The candidate should have 6 to 8 yrs of SAP IS Oil experience and worked on at least two implementation projects. Should be very conversant with Oil downstream processes. Capable of taking part in blueprinting workshops with clients and ready to work hands-on in Configuration, Integration testing, UAT etc. Should also know the SAP Logistics area.


● You will be working in Python (Flask framework).
● Conceptualising the system to be built, creating concise requirements.
● Backend designing & development, database data models.
● Optimizing design by applying design patterns.
● Front-end design, behaviour & development.
● Application Testing, Benchmarking & Performance Optimizations.
Candidate Profile
● Bachelors / Masters in Computer Science
● Excellent communication and presentation skills
● The candidate should also have knowledge of the industry and ability to work under pressure
● An indefatigable person with high self-esteem and perspicacious nature is that kind of person
● who will thrive in this role
- Manage and Develop the Digital Performance Channels
- Ownership of Top-line building channels like Google Shopping, Google Remarketing, Third Parties for Remarketing
- Continuously chase ambitious targets of ROAS while maintaining min Top Line thresholds
- Build effective journeys of remarketing to reduce the overlaps and shorten the touchpoints to convert
- Exploration of new channels to drive Performance Marketing
- Be an actor of your channel ecosystem
- Owner mindset, willingness to take initiatives, and accountability to drive closures
- Be the key contact window between Users and the technical team
- Challenge the needs and demonstrate managerial courage towards users satisfaction
- Develop, through your posture, a collaborative working methodology, an environment of trust and responsibility among the product team
AN IDEAL CANDIDATE WILL HAVE
- Passion for sport, you like to enjoy the sport with your teammates
- You have an entrepreneurial mindset, a strong sense of responsibility, autonomy, and drive for results
- Recognized capacity to understand business needs, bring structure in a complex environment, and lead action plans
- Strong data analysis skills, ability to perform data analysis and make data-driven decisions
- You are a technology enthusiast; you care about how things work, and you can successfully collaborate with technical experts
- You are well versed with Google Shopping and Remarketing as a subject
- A prior experience in performance marketing/e-commerce is required.
EXPERIENCE
- 3-12 years of experience in the digital eco-system
- Prior experience in performance marketing agencies is a plus
- A Masters degree in marketing is a plus

