Sales Development Representative

Job Description – Information Security Engineer / Security Analyst

Job Location Arjan Garh

On-site

Role Summary

Responsible for vulnerability assessment, security monitoring, incident management, compliance activities, and maintaining the organization’s overall security posture.

Key Responsibilities

* Perform VAPT for web apps & infrastructure using Burp Suite, Nmap, OWASP ZAP, OpenVAS.

* Identify, validate, and report vulnerabilities as per OWASP Top 10 & CVSS.

* Monitor security alerts through Wazuh SIEM and handle incidents as per defined SLAs.

* Support ISO 27001 & 27701 audits, client security assessments, and evidence collection.

* Prepare security documentation (policies, checklists, incident reports, VAPT reports).

* Coordinate with vendors for black-box/grey-box testing and with clients during audits.

* Assist with basic AWS security reviews, IAM checks, SG reviews, and Secret Manager.

* Maintain vulnerability tracker, incident register, and key management logs.

Requirements

* 2–3 years of experience in Information Security/VAPT.

* Hands-on experience with Burp Suite, Nmap, OWASP ZAP, Wazuh, OpenVAS.

* Strong understanding of OWASP Top 10, CVSS, SIEM operations, and basic AWS security.

* Good documentation and communication skills.

Nice to Have:

* Experience in fintech/API-based products.

* Familiarity with Fortinet/Reticen8 firewalls.

* Certifications: CEH, ISO 27001 LA/LI, Security+, AWS Security (optional).

To apply reach out on https://www.linkedin.com/in/preeti-bisht-1633b1263/

Responsibilities

Technical Development & Delivery

• Lead the development and release process for assigned products and platform components.
• Design, develop, and maintain secure, scalable, and high-performing applications using .NET Core / .NET 6+.
• Develop modern front-end interfaces using JavaScript frameworks (React / Next.js) or Blazor.NET / WPF.
• Collaborate with developers to integrate user-facing elements with server-side logic and APIs.
• Build and maintain RESTful APIs, microservices, and backend services.

Product & Cross-Functional Collaboration

• Work closely with Product, QA, and DevOps teams to deliver new features and enhancements.
• Participate in technical discussions and product planning, helping prioritize development tasks and improvements.
• Act as a technical subject matter expert for relevant product modules when needed.

Database & Platform Support

• Work with Cosmos DB and SQL-based databases to support application functionality.
• Collaborate with DBAs to design and maintain database schemas, queries, and stored procedures.
• Support UAT and production environments, troubleshooting technical issues and ensuring system reliability.

Quality, Security & Performance

• Work with Quality Assurance teams to ensure the delivery of high-quality and reliable software.
• Implement secure coding practices and support vulnerability assessments and security audits.
• Monitor and optimize application and API performance.
• Contribute to logging, monitoring, and alerting mechanisms to support system observability.

Mentorship & Team Development

• Mentor and support junior developers and new team members.
• Promote best practices in coding, testing, and documentation across the engineering team.
• Contribute to continuous improvement of development standards and engineering processes.

Absolute Must have’s (essential requirements)

• Strong expertise in C# and .NET Core / .NET 6+ development.
• Experience with at least one of the following front-end technologies:
• Blazor.NET or WPF
• JavaScript frameworks such as React or Next.js
• Strong understanding of object-oriented programming, design patterns, and domain-driven design.
• Experience with SQL Server / PostgreSQL and Entity Framework Core.
• Familiarity with tools such as Syncfusion, Datatables, and AutoMapper.
• Experience building and integrating RESTful APIs and microservices.
• Proficiency with Git and CI/CD pipelines.
• Exposure to cloud platforms such as Azure or AWS.
• Strong problem-solving, debugging, and analytical skills.

Good to have (preferred/optional  requirements)

• Experience working with modular application frameworks such as ABP.IO.
• Understanding of payment systems, financial platforms, or transaction processing systems.
• Experience working in Agile / Scrum environments.
• Familiarity with DevOps practices, Docker containers, and Kubernetes.

Java Tech Lead (5–6 Years Experience)

About the Role

We are seeking a highly skilled Java Tech Lead with 5–6 years of hands-on experience in backend engineering, architecture design, and leading development teams. 

The ideal candidate will combine strong technical expertise in Java frameworks with a deep understanding of system design, scalability, and performance optimization.

This role involves technical leadership, code reviews, and architectural decision-making for complex enterprise systems — with occasional exposure to analytics-driven and Python-based components.

Key Responsibilities

• Architect, design, and develop scalable backend systems using Java (Quarkus, Spring Boot, Spring, Java EE).
• Own the architecture — ensure modular, extensible, and high-performance service design.
• Lead and mentor a team of developers; conduct code reviews, enforce best practices, and ensure high code quality.
• Collaborate with cross-functional teams (frontend, DevOps, product, data) to deliver integrated, end-to-end solutions.
• Design and optimize database schemas (MySQL, PostgreSQL) and ensure efficient query performance.
• Implement and maintain microservices and distributed systems with strong fault tolerance and observability.
• Drive the adoption of modern development workflows — Git branching strategy, CI/CD, and code quality automation.
• Analyze system performance bottlenecks, implement monitoring, and ensure smooth production deployments.
• Contribute to architecture reviews, technical documentation, and design discussions.
• Occasionally contribute to Python-based analytics modules or automation scripts.
• Work with AWS cloud services (EC2, S3, RDS, Lambda) for deployment, scaling, and infrastructure automation.

Required Skills & Qualifications

• 5–6 years of professional experience in backend application development using Java.
• Strong proficiency in Java frameworks: Quarkus, Spring Boot, Spring, Java EE.
• Proven experience in architecture design, system decomposition, and microservices design principles.
• Solid understanding of object-oriented design (OOD), design patterns, and SOLID principles.
• Strong experience with relational databases (MySQL, PostgreSQL) and query optimization.
• Good understanding of event-driven systems, RESTful APIs, and asynchronous processing.
• Proficiency in Git for version control and team collaboration.
• Strong analytical and debugging skills; ability to diagnose complex production issues.

Good to Have

• Hands-on experience with Python for data processing or analytics integrations.
• Familiarity with AWS cloud architecture and cost optimization practices.
• Experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
• Knowledge of Docker/Kubernetes for containerized deployments.
• Exposure to NoSQL databases (MongoDB, DynamoDB, Cassandra).
• Experience with message queues (Kafka, RabbitMQ, or AWS SQS).
• Understanding of system scalability, caching (Redis/Memcached), and observability stacks (Prometheus, Grafana, ELK).

Soft Skills

• Strong leadership, mentoring, and communication skills.
• Proven ability to drive technical decisions and balance short-term delivery with long-term architectural health.
• Collaborative mindset — works closely with product, design, and operations teams.
• Passion for clean architecture, high performance, and continuous improvement.
• Self-driven with a strong sense of ownership and accountability.

About the company:

Ketto is Asia's largest tech-enabled crowdfunding platform with a vision - Healthcare for all. We are a profit-making organization with a valuation of more than 100 Million USD. With over 1,100 crores raised from more than 60 lakh donors, we have positively impacted the lives of 2 lakh+ campaigners. Ketto has embarked on a high-growth journey, and we would like you to be part of our family, helping us to create a large-scale impact on a daily basis by taking our product to the next level

Role Overview:

Ketto, Asia's largest crowdfunding platform, is looking for an innovative Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecycle—from requirements gathering to design planning—alongside implementing advanced analytics and generative AI solutions to support Ketto’s mission.

Key Responsibilities

●  Data Strategy & Automation:

○ Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance.

○ Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making.

●  Data Analysis & Insight Generation:

○ Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success.

○ Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes.

●  Reporting & Quality Assurance:

○ Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed.

○ Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement.

●  Collaboration & Strategic Planning:

○ Work closely with Business, Product, and IT teams to align data initiatives with Ketto’s objectives and growth strategy.

○ Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform.

○ Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making.

Required Skills and Qualifications

●  Technical Expertise:

○ Strong background in SQL, Statistics and Maths

●  Analytical & Strategic Mindset:

○ Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies.

○ Experience with statistical analysis, advanced analytics

●  Communication & Collaboration:

○ Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders.

○ Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals.

●  Preferred Experience:

○ Proven experience in advanced analytics roles

○ Experience leading data lifecycle management, model deployment, and quality assurance initiatives.

Why Join Ketto?

At Ketto, we’re committed to driving social change through innovative data and AI solutions. As our Sr. Product Analyst, you’ll have the unique opportunity to leverage advanced data science and generative AI to shape the future of crowdfunding in Asia. If you’re passionate about using data and AI for social good, we’d love to hear from you!

ob Description: 

We are seeking an experienced Azure Data Engineer with expertise in Azure Data Factory, Azure Databricks, and Azure Data Fabric to lead the migration of our existing data pipeline and processing infrastructure. The ideal candidate will have a strong background in Azure cloud data services, big data analytics, and data engineering, with specific experience in Azure Data Fabric. We are looking for someone who has at least 6 months of hands-on experience with Azure Data Fabric or has successfully completed at least one migration to Azure Data Fabric.

Key Responsibilities:

• Assess the current data architecture using Azure Data Factory and Databricks and develop a detailed migration plan to Azure Data Fabric.
• Design and implement end-to-end data pipelines within Azure Data Fabric, including data ingestion, transformation, storage, and analytics.
• Optimize data workflows to leverage Azure Data Fabric's unified platform for data integration, big data processing, and real-time analytics.
• Ensure seamless integration of data from SharePoint and other sources into Azure Data Fabric, maintaining data quality and integrity.
• Collaborate with business analysts and business stakeholders to align data strategies and optimize the data environment for machine learning and AI workloads.
• Implement security best practices, including data governance, access control, and monitoring within Azure Data Fabric.
• Conduct performance tuning and optimization for data storage and processing within Azure Data Fabric to ensure high availability and cost efficiency.

Key Requirements:

• Proven experience (5+ years) in Azure data engineering with a strong focus on Azure Data Factory and Azure Databricks.
• At least 6 months of hands-on experience with Azure Data Fabric or completion of one migration to Azure Data Fabric.
• Hands-on experience in designing, building, and managing data pipelines, data lakes, and data warehouses on Azure.
• Expertise in Spark, SQL, and data transformation techniques within Azure environments.
• Strong understanding of data governance, security, and compliance in cloud environments.
• Experience with migrating data architectures and optimizing workflows on cloud platforms.
• Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.
• Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert) are a plus.

Key requirements:

• The person should have at least 6 months of work experience in Data Fabric.  Make sure the experience is not less than 6 months 
• Solid technical skills: data bricks, data fabric and data factory
• Polished, good communication and interpersonal skills
• The Person should have at least 6 years of experience in Databricks, Datafactory. 

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

About the role

Media Planning Executives are responsible for analyzing data, thinking creatively and dreaming up innovative strategies to make sure marketing campaigns reach the right target audience in the most effective way possible. Armed with this critical analysis, media planning executives devise, propose, or recommend strategies for using certain media effectively to attract and retain customers, increase brand recognition, and maintain customer satisfaction and loyalty.

Some of the things we’d like you to do:

● Creation of tactical plan presentation and supporting media plan templates
● Creation of campaign analysis plan 
● Oversee the successful launch of campaigns 
● Maintain accuracy and timely updates of deliverable tracking documents for team
● Collate commentary on media performance and conduct first review on quality
● Adherence to team quality standard for reporting template and delivery
● Keep consistent track of campaign performance and target (monthly) across all channels, flagging needs for intervention
● Use understanding of campaign and marketplace to contribute ideas for campaign experiments and also prioritize experiments
● Manage accurate forecasts, media plans, and all key media planning documentation

A bit about yourself:

● At least 2-3 years of experience in Tradional media advertising
● Working knowledge and effective vocabulary across Offline & Online 
● Experience with Media Research Tools (Comscore, GWI, TGI)
● Strong organizational skills with a keen ability to prioritize and multitask.
● Proven problem solving skills and ability to think outside of the box
● Ability to work independently and collaborate in a team environment
● Detail oriented and responsive, deadline-driven with strong reasoning skills

What you can expect from Essence

Essence’s mission is to make advertising more valuable to the world. We do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. It’s important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an Essence employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, or marital status. 

We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.

In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that

• Has healthcare experience and is passionate about helping heal people,
• Loves working with data,
• Has an obsessive focus on data quality,
• Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
• Has strong data interrogation and analysis skills,
• Defaults to written communication and delivers clean documentation, and,
• Enjoys working with customers and problem solving for them.

A day in the life at Innovaccer:

• Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
• Measure and communicate impact to our customers.
• Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.

What You Need:

• 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
• Intermediate to advanced level SQL programming skills.
• Data Analytics and Visualization (using tools like PowerBI)
• The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
• Ability to work in a fast-paced and agile environment.
• Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.

What we offer:

• Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
• Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
• Health benefits: We cover health insurance for you and your loved ones.
• Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
• Pet-friendly office and open floor plan: No boring cubicles.

• 3 years experience working on Python, Django and DRF (must have projects)
• Back-end Development, Third Party SDK Implementation, CI/CD
• Pipeline with AWS, Containerization of Server, Caching, Micro-service Implementation
• Architecture design of the web applications.
• Implementation of a robust set of services and APIs to power the web application.
• Building reusable code and libraries for future use.
• Optimization of the application for maximum speed and scalability.
• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications.
• Integration of user-facing elements developed by front-end developers with server-side logic.
• Implementation of security and data protection.
• Translation of UI/UX wireframes to visual elements