Social Media Executive

Position Overview:

As a BI (Business Intelligence) Developer, they will be responsible for designing,

developing, and maintaining the business intelligence solutions that support data

analysis and reporting. They will collaborate with business stakeholders, analysts, and

data engineers to understand requirements and translate them into efficient and

effective BI solutions. Their role will involve working with various data sources,

designing data models, assisting ETL (Extract, Transform, Load) processes, and

developing interactive dashboards and reports.

Key Responsibilities:

1. Requirement Gathering: Collaborate with business stakeholders to understand

their data analysis and reporting needs. Translate these requirements into

technical specifications and develop appropriate BI solutions.

2. Data Modelling: Design and develop data models that effectively represent

 the underlying business processes and facilitate data analysis and reporting.

Ensure data integrity, accuracy, and consistency within the data models.

3. Dashboard and Report Development: Design, develop, and deploy interactive

dashboards and reports using Sigma computing. 

4. Data Integration: Integrate data from various systems and sources to provide a

comprehensive view of business performance. Ensure data consistency and

accuracy across different data sets.

5. Performance Optimization: Identify performance bottlenecks in BI solutions and

optimize query performance, data processing, and report rendering. Continuously

monitor and fine-tune the performance of BI applications.

6. Data Governance: Ensure compliance with data governance policies and

standards. Implement appropriate security measures to protect sensitive data.

7. Documentation and Training: Document the technical specifications, data

models, ETL processes, and BI solution configurations.

8. Ensuring that the proposed solutions meet business needs and requirements.

9. Should be able to create and own Business/ Functional Requirement

Documents.

10. Monitor or track project milestones and deliverables.

11. Submit project deliverables, ensuring adherence to quality standards.

Qualifications and Skills:

1. Master/ Bachelor’s degree in IT or relevant and having a minimum of 2-4 years of

experience in Business Analysis or a related field 

2. Proven experience as a BI Developer or similar role.

3. Fundamental analytical and conceptual thinking skills with demonstrated skills in

managing projects on implementation of Platform Solutions 

4. Excellent planning, organizational and time management skills.

5. Strong understanding of data warehousing concepts, dimensional modelling, and

ETL processes.

6. Proficiency in SQL, Snowflake for data extraction, manipulation, and analysis.

7. Experience with one or more BI tools such as Sigma computing.

8. Knowledge of data visualization best practices and ability to create compelling

data visualizations.

9. Solid problem-solving and analytical skills with a detail-oriented mindset.

10. Strong communication and interpersonal skills to collaborate effectively with

different stakeholders.

11. Ability to work independently and manage multiple priorities in a fast-paced

environment.

12. Knowledge of data governance principles and security best practices.

13. Candidate having experience in managing implementation project of platform

solutions to the U.S. clients would be preferable. 

14. Exposure to U.S debt collection industry is a plus.

Key Responsibilities: 

• Develop high-quality content for a variety of channels including blogs, articles, whitepapers, social media posts, website content, email campaigns, case studies, and brochures. 
• Research industry trends, emerging technologies, and competitors to produce insightful and relevant content that aligns with business priorities. 
• Support and manage company social media platforms (LinkedIn, Twitter, Facebook, etc.) with consistent and engaging content to enhance online presence and reach. 
• Collaborate with design, digital, and business teams to align content with brand tone, campaign goals, and visual storytelling. 
• Assist in creating content calendars and ensuring timely content delivery across all platforms. 
• Apply SEO best practices to content and continuously optimize for improved visibility and traffic. 
• Work closely with internal stakeholders to understand solutions, translate technical inputs, and craft customer-centric narratives. 
• Participate in brainstorming sessions to contribute creative ideas for integrated campaigns and thought leadership. 
• Analyze content performance metrics and audience engagement to refine content strategies and improve impact. 

The right candidate for this role must exhibit: 

• Excellent verbal and written communication skills. 
• Experience writing/editing troubleshooting, procedural information, and reference information. 
• Ability to simplify complex technical topics into engaging content. 
• Familiarity with standard style guides and their recommendations. 
• Have a functional knowledge of SEO concepts. 
• Familiarity with social media management and content tools (e.g., Hootsuite, Buffer, Canva). 
• Understanding of SEO, content structuring, and keyword research. 
• Proactive, collaborative, and able to manage multiple projects in a deadline-driven environment. 
• Familiarity with technology and other technical concepts from a variety of industries is an advantage 

Education And Experience 

• Mastery of the English language  
• Excellent communication, writing, and editing skills 
• An interest in technology and software 
• A positive, can-do attitude 
• A desire to learn and be mentored 
• Minimum 2-3 years of relevant technical copywriting work experience 

Industry: IT Services & Consulting 

Functional Area: Marketing & Communication

Job Description: Customer Support (Female)

Position: Customer Support Representative (Female)

Location: [Faridabad]

Salary: ₹8,000 - ₹12,000 per month (in-hand)

Working Hours: [9 AM – 6 PM, Monday – Saturday]

Job Overview:

We are looking for a dedicated and proactive Female Customer Support Representative to join our team at [Bikefixup], a leading bike service provider company. As a Customer Support Representative, you will be responsible for assisting customers, addressing inquiries, and ensuring an exceptional customer experience related to our services.

Key Responsibilities:

Customer Assistance: Handle customer inquiries via phone, email, chat, and in-person, providing accurate information about bike services, pricing, and maintenance

.

Issue Resolution: Resolve customer complaints or issues related to service bookings, repairs, or billing, ensuring timely and effective solutions.

Service Coordination: Schedule service appointments, track service progress, and follow up with customers to ensure satisfaction.

Product Knowledge: Maintain in-depth knowledge of our services, promotions, and policies to assist customers efficiently.

Feedback Collection: Gather customer feedback to identify areas for improvement in service quality and customer experience.

Billing and Payments: Assist customers with billing inquiries and guide them through payment processes as needed.

Customer Retention: Promote customer loyalty by ensuring a positive experience and addressing any concerns professionally.

Documentation: Maintain accurate records of customer interactions, service requests, and resolutions.

Requirements:

Female candidates preferred.

Excellent communication skills (both written and verbal).

Strong problem-solving abilities and a customer-centric attitude.  

Prior experience in customer support or in a service-oriented industry is a plus.

Basic knowledge of bike services (or willingness to learn).

Ability to work efficiently in a fast-paced environment.

Proficiency in computer skills (MS Office, CRM software, etc.).

Benefits:

Friendly and supportive work environment.

Opportunities for career growth and skill development.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

Role: Data Engineer  
Company: PayU

Location: Bangalore/ Mumbai

Experience : 2-5 yrs

About Company:

PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities.

The leading online payment service provider in 36 countries, PayU is dedicated to creating a fast, simple and efficient payment process for merchants and buyers. Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper, PayU is one of the biggest investors in the fintech space globally, with investments totalling $700 million- to date. PayU also specializes in credit products and services for emerging markets across the globe. We are dedicated to removing risks to merchants, allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services.

Our local operations in Asia, Central and Eastern Europe, Latin America, the Middle East, Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services.

India is the biggest market for PayU globally and the company has already invested $400 million in this region in last 4 years. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. We are going to do this through 3 mechanisms: build, co-build/partner; select strategic investments. 

PayU supports over 350,000+ merchants and millions of consumers making payments online with over 250 payment methods and 1,800+ payment specialists. The markets in which PayU operates represent a potential consumer base of nearly 2.3 billion people and a huge growth potential for merchants. 

Job responsibilities:

• Design infrastructure for data, especially for but not limited to consumption in machine learning applications 
• Define database architecture needed to combine and link data, and ensure integrity across different sources 
• Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks, to highly available RESTful services, to back-end Java based systems 
• Work with large, fast, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed 
• Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
• Work closely with Data Engineers, ML Engineers and SREs to gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions

Requirements to be successful in this role: 

• Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, statistics, data visualisation, Data Modelling and Informatica.
• Strong experience with scalable compute solutions such as in Kafka, Snowflake
• Strong experience with workflow management libraries and tools such as Airflow, AWS Step Functions etc. 
• Strong experience with data engineering practices (i.e. data ingestion pipelines and ETL) 
• A good understanding of machine learning methods, algorithms, pipelines, testing practices and frameworks 
• Preferred) MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI) 
• Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale 

• SAAS
• Enterprise 
• fintech 
• Payments
• Healthcare

• See less

Preferred Skills:

• Good communication skills in English (Written and Oral)
•  Strong knowledge of RDBMS concepts
•  Strong analytical and problem-solving skills
•  Experience in performance tuning
•  Experience in interaction with the customer
• Mandatory technical skills Java, Spring boot , Microservices , Hibernate
• Preferred Tools (SVN, GIT, Maven, Jenkins Jira Confluence) 
•  Ability to explore the application by himself/herself from the training provided.

Responsibilities:

• New feature development or enhancement or change request activities (Requirement analysis, Requirement documentation, Design, Coding, Review, Testing and Release process)
•  Defect Fixing (Defect analysis, route cause identification, Code change, testing, obtaining user confirmation and release process)
• Support tasks (Ticket analysis, data uploading, performance tuning, job monitoring, any analysis task, ReportGeneration and etc.,)
• Level 2 and Level 3 support (Support process adherence)
• Functional and technical or solution documentation preparation
• Execution will either be Waterfall or Agile
• The process needs to be followed as defined by RBEI or RBEI’s Customer
• Preparation & participation in the project status and review meeting

Software Developer - React Native Developer

Job Description

A major part of our work at Cobold Digital LLP is getting businesses online. We provide efficient solutions to our clients in the fields of Website Design & Development & Website Maintenance. If you wish to work with a wide array of clients that depend on you to represent them online, our Website Development team is the right place for you.

We are looking for an experienced top-notch React Native Developer to grow with our dev team. As a React.js Developer, you will be involved from conception to completion with projects that are technologically sound and aesthetically impressive. 

Responsibilities

• Work as part of a small team to build React Native Applications for our clients.
• Architect, Build and maintain excellent React Native applications with clean codes.
• Implement pixel-perfect UI’s that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Integrate third-party APIs.
• Write unit and integration tests.
• Release applications to IOS and Android platforms.
• Work with Native modules when required.
• Assist with building estimates.
• Attend daily standups
• Interact clients via google meet, Zoom, and Emails.
• Work with Modern tools like Jira, Bitbucket, Google Docs, etc.

Requirements 

• 2+ years of Profession experience working with React Native.
• 3+ years of experience as Software Developer
• Experience with Swift,Objective C and Java is a plus but not required
• Must have experience on a large complex system
• Ability to take ownership of your work.
• Ability to manage multiple projects
• Undertaking of React Native best practices.Experience with JavaScript
• Experience with REACT
• Experience with HTML / CSS
• Experience with REST API's
• Git knowledge is a plusTeam player 
• Good time-management skills 
• Great interpersonal and communication skills

If you are a PHP developer & have a good understanding of web technologies you may apply for this positoin. As a Developer, you will be a part of our web development team and will be working with some very experienced developers on challenging and interesting projects. You will be a part of an Agile delivery team and work closely with Requirement Analysts, Scrum Masters, Development & Design team and QA team.

Responsibilities

1. Write clean, maintainable and efficient code.
2. Design robust, scalable and secure features
3. Collaborate with team members to develop and ship web applications within tight timeframes.
4. Write unit and functional testcases.
5. Work on bug fixing, identifying performance issues and improving application performance
6. Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
7. Handling complex technical issues

Technical Skills

1. PHP - 4.5 Years Experience along with HTML5, CSS Bootstrap, JQuery, JS, MySQL/MongoDB, JSON Web Services and API Services
2. PHP Frameworks: Min. 2 Years with anyone (Laravel, Symfony, CakePHP, Yii etc.)
3. PHP Reporting Tools (Jasper etc.)
4. NET Exposure - Good to have
5. Understanding of responsive design frameworks such as bootstrap
6. MEAN Stack - Good to have
7. Angular / React - Good to have
   
   

Perks, Benefits & Culture: 

We are offering amazing career growth opportunities, great compensation, and benefits. This begins with -

- weekly lunches

- alternate weekends-off

- annual medical checkups

- Social engagement 

- financial assistance 

- and more...