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Data Engineer – Validation & Quality
Responsibilities
- Build rule-based and statistical validation frameworks using Pandas / NumPy.
- Implement contradiction detection, reconciliation, and anomaly flagging.
- Design and compute confidence metrics for each evidence record.
- Automate schema compliance, sampling, and checksum verification across data sources.
- Collaborate with the Kernel to embed validation results into every output artifact.
Requirements
- 5 + years in data engineering, data quality, or MLOps validation.
- Strong SQL optimization and ETL background.
- Familiarity with data lineage, DQ frameworks, and regulatory standards (SOC 2 / GDPR).

Full‑Stack Engineer (Python/Django & Next.js)
Location: Bangalore
Experience: 2–8 years of hands‑on full‑stack development
We’re looking for a passionate Full‑Stack Engineer to join our team and help build secure, scalable systems that power exceptional customer experiences.
Key Skills -
• Architect and develop secure, scalable applications
• Collaborate closely with product & design teams
• Manage CI/CD pipelines and deployments
• Mentor engineers and enforce coding best practices
What we’re looking for:
• Strong expertise in Python/Django & Next.js/React
• Hands‑on with PostgreSQL, Docker, AWS/GCP
• Experience leading engineering teams
• Excellent problem‑solving & communication skills
If you’re excited about building impactful products and driving engineering excellence. Apply now !!
Retail Insurance Broking
Relationship Manager – Insurance Sales.
Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained.
Achieving Sales Target
Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills.
Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities.
Building and maintaining strong relationships with agents, providing support and addressing their needs.
Tracking agent performance, identifying areas for improvement.
Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability.
Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network.
Required skills
- Proven working experience as an Insurance Agent or relevant experience from Insurance Broking Industry
- Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
- Basic computer knowledge and statistical analysis
Key Responsibilities
- Identify and acquire new clients for SEO, SEM, and digital marketing services
- Generate leads through outbound outreach, networking, referrals, and other channels
- Conduct client meetings, understand business goals, and propose tailored digital marketing solutions
- Prepare and present proposals, commercial discussions, and close deals independently
- Work closely with the Founder for strategy review and closure support on key accounts
- Maintain and report sales pipeline, performance metrics, and revenue forecasts
- Build and nurture long-term business relationships with clients
Desired Candidate Profile
- 4–8 years’ experience in B2B Sales / Business Development
- Experience selling SEO / SEM / Digital Marketing / Performance Marketing services preferred
- Proven track record in lead generation and closing sales
- Strong understanding of digital marketing concepts and ROI-driven selling
- Excellent communication, negotiation, and presentation skills
- Self-motivated, target-oriented, and able to work independently
- Based in Delhi-NCR
Compensation
Competitive fixed salary + performance-based variable incentive
Excellent growth and ownership opportunities as part of our market expansion.
Reporting To
Founder / Leadership Team
The Platform Data Science team works at the intersection of data science and engineering. Domain experts develop and advance platforms, including the data platforms, machine learning platform, other platforms for Forecasting, Experimentation, Anomaly Detection, Conversational AI, Underwriting of Risk, Portfolio Management, Fraud Detection & Prevention and many more. We also are the Data Science and Analytics partners for Product and provide Behavioural Science insights across Jupiter.
About the role:
We’re looking for strong Software Engineers that can combine EMR, Redshift, Hadoop, Spark, Kafka, Elastic Search, Tensorflow, Pytorch and other technologies to build the next generation Data Platform, ML Platform, Experimentation Platform. If this sounds interesting we’d love to hear from you!
This role will involve designing and developing software products that impact many areas of our business. The individual in this role will have responsibility help define requirements, create software designs, implement code to these specifications, provide thorough unit and integration testing, and support products while deployed and used by our stakeholders.
Key Responsibilities:
Participate, Own & Influence in architecting & designing of systems
Collaborate with other engineers, data scientists, product managers
Build intelligent systems that drive decisions
Build systems that enable us to perform experiments and iterate quickly
Build platforms that enable scientists to train, deploy and monitor models at scale
Build analytical systems that drives better decision making
Required Skills:
Programming experience with at least one modern language such as Java, Scala including object-oriented design
Experience in contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Bachelor’s degree in Computer Science or related field
Computer Science fundamentals in object-oriented design
Computer Science fundamentals in data structures
Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
Experience in databases, analytics, big data systems or business intelligence products:
Data lake, data warehouse, ETL, ML platform
Big data tech like: Hadoop, Apache Spark
Must have
Proven understanding of Data Modelling and Analytics
Advanced knowledge and experience working with relational and NOSQL databases as well as data warehousing.
Experience of working with Microsoft’s BI technology stack SSIS, SSRS, SSAS (tabular model), Power BI, Power Query, Excel.
Experience with Microsoft Azure Analytics tools and technologies such as Azure Synapse Analytics, Azure Data Bricks, HD Insight, Azure Data Factory, Azure Machine learning, Azure Stream Analytics, Azure Data Lake, Azure Analysis Services, Event Hubs, Azure Data Explorer, Azure Data Share, Azure Time Series Insights.
Good interpersonal, verbal, and written communication skills with a proven ability to explain complex technical ideas and problems clearly to non-experts
Good to have
Self-motivated, enthusiastic, and strong problem solving skills
Cultural awareness and experience of delivering solutions internationally working in an agile project delivery environment.
Experience maintaining source control in Git or Azure DevOps
Strong experience with various Software Development Life cycles (SDLC) methodologies: Agile or Standard waterfall initiatives
Proven experience working with various Project Management practices and disciplines
Demonstrated strong interpersonal skills to augment a close working relationship with cross functional teams
A history of designing and implementing reporting solutions that are both functional and engaging
Meticulous attention to detail
Proficiency in DAX, MDX, Python/Scala/Spark SQL
Non-profit sector knowledge/experience
Cosmos DB
Machine Learning
Roles & Responsibilities
Provide the organisation with accurate and timely BI solutions based on requirements gathered through business partnering activities
Maintain and support existing BI solutions
Proactively source new and innovative solutions that provide clear business value and construct ‘proof of concepts’ to demonstrate the new solutions
Proactively identify any technical project risks/issues related to BI
Estimate and deliver BI project tasks to agreed prioritisation and timeframes
Support the IT Service Delivery team with the BI reporting environment
Assist product owners in designing, agreeing, implementing and managing changes to the BI environment
Maintain accurate technical documentation
Communicate data and insights
∙ Responsible to promote IT Product and Services in to the National/ International Market through lead Generation.
∙ To identify business opportunities and drive profitable new business with client mapping, cold-calling, focused email campaigns, presentations, etc.
∙ Manage entire Sales life-cycle including cold calling, prospecting, lead qualification, product/service presentation, proposal presentation and sales closure.
To cultivate, build and manage relationships with Clients.- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing customer-facing UI and back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
Responsibilities
Understand requirements and translate that to product features.
Should be able to lead a team of developers and designers and communicate status to customers.
Should be efficient in developing and implementing best practices and write a smart piece of code.
Coding standards should be followed, and the code should be highly performant.
Should be able to do impact analysis and document the design of the components.
Should be able to develop reusable components using proper design patterns as listed by lead/architect so that it is extensible.
Should be able to integrate frontend with backend REST apis.
Essential Skills
Strong experience in Typescript
At least 1 - 2 years of experience using HTML, CSS, JavaScript & Angular Js, or React Js
Basic experience in at least one server-side technology (Java, PHP, NodeJS, Python, Ruby)
Ability to multi-task, organize, and prioritize.








