Data Scientist

Job Title : SAP CPQ Architect

Experience : 12+ Years

Location : Remote/Hybrid (As per Project)

Employment Type : Contract (6 Months to 1 Year)

Job Summary :

We are seeking an experienced SAP CPQ Architect to lead the design and implementation of SAP CPQ solutions for a large-scale digital transformation program. The role involves defining CPQ architecture, designing product configuration models, integrating SAP CPQ with enterprise platforms, and supporting future-state solution blueprints.

Mandatory Skills :

SAP CPQ, SAP S/4HANA, SAP VC/AVC, Solution Architecture, PLM-to-CPQ Integration, BOM Synchronization, Engineering Change Propagation, Siemens Teamcenter (preferred), Salesforce CPQ/Oracle CPQ/Conga CPQ, Enterprise CPQ Implementation, Manufacturing Domain (Semiconductor/Industrial Equipment/Aerospace)

Key Responsibilities :

• Design and define end-to-end SAP CPQ solution architecture.
• Develop guided selling and product configuration models.
• Architect integrations between SAP CPQ, SAP S/4HANA, PLM (Siemens Teamcenter), and Microsoft Dynamics 365.
• Design scalable quoting solutions for configurable products, services, and spare parts.
• Contribute to future-state process blueprints and system design.
• Support CPQ platform evaluation, solution selection, and RFP activities.

Mandatory Skills :

• 12+ years of IT experience with 5+ years architecting or implementing SAP CPQ (or comparable enterprise CPQ such as Salesforce CPQ, Oracle CPQ, or Conga CPQ).
• Strong expertise in SAP CPQ, SAP Variant Configuration (VC/AVC), and SAP S/4HANA.
• Hands-on experience with PLM-to-CPQ integration, including BOM synchronization and engineering change propagation.
• Familiarity with SAP S/4HANA Sales & Order Management.
• Experience in manufacturing domains such as Semiconductor, Industrial Equipment, or Aerospace is preferred.

Preferred Skills :

• Experience with Siemens Teamcenter PLM.
• Microsoft Dynamics 365 CRM integration.
• Knowledge of pricing governance and complex product configuration workflows.

We are looking for a skilled Java Full Stack Developer with 5+ years of experience in designing and developing scalable web applications. The ideal candidate should have strong expertise in Java, Spring Boot, Angular, and AWS, along with experience building RESTful APIs and cloud-based applications.

Key Responsibilities

• Develop and maintain scalable backend services using Java 8/11/17 and Spring Boot.
• Build responsive front-end applications using Angular.
• Design and develop RESTful APIs and integrate with third-party services.
• Deploy and manage applications on AWS.
• Work with relational databases and write optimized SQL queries.
• Collaborate with cross-functional teams in an Agile environment.
• Write clean, maintainable, and testable code.
• Troubleshoot, debug, and optimize application performance.

Required Skills

• 5+ years of experience in Java development.
• Strong experience with Java, Spring Boot, and Microservices.
• Hands-on experience with Angular (v10+).
• Experience with AWS services (EC2, S3, RDS, Lambda, ECS/EKS, CloudWatch, IAM, etc.).
• Strong knowledge of REST APIs.
• Experience with SQL (MySQL/PostgreSQL) and ORM frameworks such as Hibernate/JPA.
• Knowledge of Git, Maven/Gradle, and CI/CD pipelines.
• Familiarity with Docker and Kubernetes is a plus.
• Good understanding of Agile/Scrum methodologies.

DataCaptive is a leading B2B Data Solutions provider helping businesses supercharge their lead generation. We’re looking for a Google Ads Specialist who can take charge of our paid campaigns and deliver high-quality leads. Key Responsibilities • Plan, create, and manage Google Ads campaigns across Search, Display, YouTube, and Remarketing. • Conduct thorough keyword research and competitor analysis to identify growth opportunities. • Write compelling ad copies, select appropriate creatives, and optimize landing pages for higher Quality Scores. • Monitor campaign performance daily, ensuring alignment with ROI, CPL, and lead generation goals. • Set up conversion tracking and analyze campaign data using Google Analytics, Tag Manager, and other tools. • Continuously test ads, bidding strategies, and audience targeting to maximize performance. • Collaborate with the SEO, content, and design teams to improve ad relevance and conversion rates. • Provide regular reports on campaign performance with actionable insights. Required Skills & Qualifications • Proven experience (2–4 years) in managing Google Ads campaigns for lead generation. • Strong knowledge of Google Ads, Keyword Planner, Analytics, Tag Manager, and Data Studio. • Hands-on experience with Search, Display, Remarketing, and YouTube Ads. • Understanding of B2B lead generation funnels and data-driven marketing. • Excellent analytical skills with the ability to interpret metrics and optimize campaigns accordingly. • Google Ads Certification is a plus. • Strong communication and copywriting skills. What We Offer: Work with a fast-growing B2B SaaS/Data company Competitive pay + performance incentives Growth-driven work environment 

· Write effective and scalable code in Ruby

· Build back-end components for web applications

· Test applications for performance, responsiveness, and security

· Review and debug junior developers’ code

· Integrate data storage and data processing solutions

· Build, install, and share gems and plugins

· Create automated test scripts

· Improve and maintain applications after deployment

· Coordinate with team members who work on different layers of infrastructure

CoverSelf is an InsurTech start-up, empowers payers and providers with a truly NEXT-GEN cloud-native, holistic & customizable platform preventing and adapting to the ever-evolving claims & payment inaccuracies. Reduce complexity and administrative costs with a unified healthcare dedicated platform. Founded in August, 2021, we are backed by industry veterans.

We foster an environment of employee empowerment whereby each team member is given the freedom to demonstrate excellence through their skills, character, and background. Our team members are motivated individuals who help each other do remarkable things every day.

About the role:

We are looking for a Frontend developer who would be working on the bleeding edge of technologies. We work primarily with React, Typescript and Redux.

Responsibilities:

• Understand why a particular design was chosen and code accordingly 
• Will have to deliver clean bug free unit tested code with minimal guidance
• Strive for continuous improvement by refactoring and applying best practices 
• Learn and adapt to new technologies as necessary.

 Requirements:

• Must be proficient in React, Redux, Redux Toolkit and Typescript
• Used Typescript for React Components
• Unit testing, Component testing and Custom React hook tests with React Testing Library
• Integration tests with Cypress
• Data fetching libraries like Axios, React Query, RTK Query etc.
• Should have maintained React Components with Storybook.
• Used various CSS stylings methods like CSS Modules, LESS, SCSS, Tailwind, Styled Components, Emotion etc.
• Should understand Git 
• Ability to work in a fast-paced and dynamic work environment
• Exceptional interpersonal skills and demonstrated leadership abilities

Work Location: Jayanagar, Bangalore, Karnataka

Work Mode: Onsite

Benefits: Competitive Compensation, Health & Personal Accident Insurance, Friendly Leave Policy, Certificate Reimbursement and many more. 
To Apply: https://coverself.kekahire.com/jobdetails/22318

Additional Information:

At CoverSelf, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred