Business Development Executive (BDE)

• Handle Life & Non-Life insurance products (Health, Motor, PA)
• Advise clients on suitable insurance solutions
• Manage policy issuance, renewals, and endorsements
• Coordinate with insurance companies and internal teams
• Ensure compliance with insurance regulations and guidelines
• Maintain accurate documentation and records
• Clear Insurance Broking Exam on priority if not already certified

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Product Specialist

We are looking for a Product Specialist to join our dynamic team in Thane. This role is ideal for individuals who are passionate about medical technology and excel at engaging, training, and supporting end-users.

Role & Responsibilities:

• Develop deep expertise in Medprime’s product portfolio.
• Provide technical support and training to customers, distributors, and sales teams.
• Work closely with the sales team to understand customer needs and demonstrate product benefits.
• Conduct product presentations, demonstrations, and workshops for potential clients.
• Gather user feedback to help improve product features and usability.
• Stay updated on industry trends and competitor offerings to maintain a competitive edge.
• Share valuable insights with the R&D team for product development and enhancements.
• Assist in creating marketing materials, brochures, and training manuals.
• Ensure smooth onboarding of new customers with training and troubleshooting support.
• Address technical concerns and contribute towards improving customer satisfaction.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Life Sciences, Biomedical Engineering, or a related field.
• 2 to 4 years of experience as a Product Specialist in medical device equipment (mandatory).
• Strong technical knowledge is a must.
• Strong communication and presentation skills in English.
• Ability to conduct effective product demonstrations.
• Willingness to travel for client visits and training sessions.

Required Skills :

• Writing well-designed, testable and efficient code.

• Development of the website

• Debugging and removal of errors.

• Should have worked on .Net, C#, Jquerry, SQL Server

• Additional knowledge on WordPress and MVC preferred

• Gathering and evaluating user feedback.

• Working as a part of a dynamic team to deliver winning products.

• Providing code documentation and other inputs to technical documents.

• Supporting continuous improvement by investigating alternatives and new technologies and presenting these for architectural review.

• Troubleshooting and debugging to optimize performance.

The Profile

• Strong experience in Angular

• You are highly goal driven and work well in fast paced environments

• You possess strong analytical skills and are comfortable dealing with numerical data

• You are adaptable and thrive in changing environment

. Work on Angular 6+

• Good communication, Report to USA manager

• Remote work

• Expert with Git, PR

Job Description

Cyber Threat Intelligence & Threat Hunting - Subject Matter Expert (B3-2)

Responsibilities:

Perform threat research, create actionable threat advisories, and derive hunting queries based on the evolving threat vectors.

Understand APT groups, Conduct deep dive technical analysis of cyber-attack tools, tactics, and procedures. Create hypothesis and perform active threat hunting.

Minimum Requirements:

10+ years of overall experience, 7+ years of experience in cyber threat intelligence, malware analysis (Reverse engineering)

Hands-on experience with writing threat hunting hypothesis & active threat hunting

Experience with YARA rule and OpenIOC signature creation.

Experience with multi-tiered mission-critical systems.

Experience in opensource sandbox and honeypots.

Preferred Certification

GIAC Cyber Threat Intelligence (GCTI)

C| TIA (Certified Threat Intelligence Analyst)

CCTIA by the NICCS

• Collaborate with product, design, and other engineering teams to brainstorm and resolve complex problems.
• Ensure the quality of code is up to the highest standard of readability, conciseness, efficiency, modularity, and extensibility.
• Experience with the entire Software Development Life Cycle (SDLC)
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
• Talking to customers and business teams to suggest improvement areas in product flows.
• Create peer learnings for team members and build context for new teammates
• Help with building the company's tech team and iterating on the hiring framework.
• Provide regular feedback to your team (peers and managers) to ensure continuous improvement.
• Keeping abreast with the latest technologies and working on your skills regularly.

Must-haves

• At least 3 years of experience working in frontend for desktop and mobile web.
• Familiar with design tools and convert them to actual code (HTML+CSS+JavaScript)
• Mastery in DOM Manipulation (including Jquery) and understand components, CTAs.
• Well-versed in other non-vanilla languages (ex. TypeScript)
• Well-versed in standard frontend framework (ex. ReactJS)
• Understanding of GraphQL APIs.
• Deep understanding of web technologies in various mobile systems
• Have empathy for the users you build for

Good to have

• Experience in the fintech industry
• Experience leading design and implementation of robust and secure web services.