Digital Marketing - Founder's Office

Role Overview

The Data / Business Analyst plays a key role in Customer’s Data Hub initiative, supporting the delivery of standardized, trusted, and compliant regulatory data across the organization. This role act as the bridge between business requirements, data governance, and technical implementation ensuring that data pipelines, models, and mappings are accurate, validated, and ready for business use.

Key Responsibilities

Collaborate with source system owners and regulatory stakeholders to gather and refine data pipeline requirements.

Translate data pipeline requirements into epics and stories ready for refinement in Jira.

Lead backlog refinement sessions with data architects, domain leads, and scientists to prioritize data ingestion and transformation activities.

Define story structure to comprise the requirements of the work to be done and the definition of done and the different types of tasks relevant for the domain to accomplish with their associated roles, documented in a Confluence page.

Endorse the role of agile scrum master for the RDH team: coach team members in self-management, organize high-value increments in sprints meeting the definition of done

Identify and document potential data issues including quality, normalization, duplication, completeness, or governance gaps and share findings with the Data Domain and platform Lead.

Work closely with Data Architects to define and document the data transformation pipeline architecture.

Support the Data Architect in defining and maintaining the data models used across regulatory use cases by reviewing proposed changes and evaluate their relevance towards new requirements.

Support the review phase led by the Data Domain Lead, verifying that the regulatory and business context is preserved across transformed datasets.

Validate that all data mappings and transformations meet regulatory compliance, data quality, and analytical readiness standards.

Collaborate with Data Scientists to define mapping logic for regulatory entities such as substances, studies, and documents.

Review the design of quality control pipelines, ensuring mapping accuracy and alignment with analytical expectations.

Key Deliverables

Comprehensive and well-documented data pipeline and transformation specifications

Defined and validated data models and business-aligned mapping definitions

Clear and traceable backlog refinement inputs and prioritization documentation

Continuous collaboration and feedback loop with the Data Domain Lead, Platform Lead and Data Science teams

Skills and Qualifications

Bachelor’s degree in data analytics, computer science

5+ years of experience in data or business analysis e.g., Life Sciences, Agrochemical, or Pharma domain

Demonstrated expertise in data transformation pipelines, and data quality frameworks

Familiarity with metadata management and data governance principles

Strong analytical skills, with the ability to translate business requirements into technical deliverables

Excellent communication and documentation skills, with experience collaborating across disciplines e.g. Data Scientists, Architects, Domain Leads, Platform Leads

A collaborative and proactive approach, comfortable working in iterative, agile environments

High attention to detail with strong problem-solving capabilities

Self-motivated and adaptable, able to navigate ambiguity and evolving project priorities in a complex data environment

Job Overview:

As a Technical Lead, you will be responsible for leading the design, development, and deployment of AI-powered Edtech solutions. You will mentor a team of engineers, collaborate with data scientists, and work closely with product managers to build scalable and efficient AI systems. The ideal candidate should have 8-10 years of experience in software development, machine learning, AI use case development and product creation along  with strong expertise in cloud-based architectures.

Key Responsibilities:

AI Tutor & Simulation Intelligence

• Architect the AI intelligence layer that drives contextual tutoring, retrieval-based reasoning, and fact-grounded explanations.
• Build RAG (retrieval-augmented generation) pipelines and integrate verified academic datasets from textbooks and internal course notes.
• Connect the AI Tutor with the Simulation Lab, enabling dynamic feedback — the system should read experiment results, interpret them, and explain why outcomes occur.
• Ensure AI responses remain transparent, syllabus-aligned, and pedagogically accurate.

Platform & System Architecture

• Lead the development of a modular, full-stack platform unifying courses, explainers, AI chat, and simulation windows in a single environment.
• Design microservice architectures with API bridges across content systems, AI inference, user data, and analytics.
• Drive performance, scalability, and platform stability — every millisecond and every click should feel seamless.

Reliability, Security & Analytics

• Establish system observability and monitoring pipelines (usage, engagement, AI accuracy).
• Build frameworks for ethical AI, ensuring transparency, privacy, and student safety.
• Set up real-time learning analytics to measure comprehension and identify concept gaps.

Leadership & Collaboration

• Mentor and elevate engineers across backend, ML, and front-end teams.
• Collaborate with the academic and product teams to translate physics pedagogy into engineering precision.
• Evaluate and integrate emerging tools — multi-modal AI, agent frameworks, explainable AI — into the product roadmap.

Qualifications & Skills:

• 8–10 years of experience in software engineering, ML systems, or scalable AI product builds.
• Proven success leading cross-functional AI/ML and full-stack teams through 0→1 and scale-up phases.
• Expertise in cloud architecture (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
• Experience designing microservices and API ecosystems for high-concurrency platforms.
• Strong knowledge of LLM fine-tuning, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.).
• Demonstrated ability to work with educational data, content pipelines, and real-time systems.

Bonus Skills (Nice to Have):

• Experience with multi-modal AI models (text, image, audio, video).
• Knowledge of AI safety, ethical AI, and explain ability techniques.
• Prior work in AI-powered automation tools or AI-driven SaaS products.

We are looking for a dynamic and skilled Business Analyst Trainer with 2 to 5 years of hands-on industry and/or teaching experience. The ideal candidate should be able to simplify complex data concepts, mentor aspiring professionals, and deliver effective training programs in Business Analyst, Power BI, Tableau, Machine learning

Job Title: Big Data Engineer (Java Spark Developer – JAVA SPARK EXP IS MUST)

Location: Chennai, Hyderabad, Pune, Bangalore (Bengaluru) / NCR Delhi

Client: Premium Tier 1 Company

Payroll: Direct Client

Employment Type: Full time / Perm

Experience: 7+ years

Job Description:

We are looking for a skilled Big Data Engineers using Java Spark with 7+ years of experience in Big Data / legacy platforms, who can join immediately. Desired candidate should have design, development and optimization of real-time & batch data pipelines experience in Big Data environment at an enterprise scale applications. You will work on building scalable and high-performance data processing solutions, integrating real-time data streams, and building a reliable Data platforms. Strong troubleshooting, performance tuning, and collaboration skills are key for this role.

Key Responsibilities:

·      Develop data pipelines using Java Spark and Kafka.

·      Optimize and maintain real-time data pipelines and messaging systems.

·      Collaborate with cross-functional teams to deliver scalable data solutions.

·      Troubleshoot and resolve issues in Java Spark and Kafka applications.

Qualifications:

·      Experience in Java Spark is must

·      Knowledge and hands-on experience using distributed computing, real-time data streaming, and big data technologies

·      Strong problem-solving and performance optimization skills

·      Looking for immediate joiners

If interested, please share your resume along with the following details

1)    Notice Period

2)    Current CTC

3)    Expected CTC

4)    Have Experience in Java Spark - Y / N (this is must)

5)    Any offers in hand

Thanks & Regards,

LION & ELEPHANTS CONSULTANCY PVT LTD TEAM

SINGAPORE | INDIA

Job Description:

An Assistant Engineer works as part of an engineering team to support various aspects of production, design, quality control, and maintenance. They are involved in project planning, process improvement, equipment maintenance, and troubleshooting. The role also includes monitoring safety regulations, analyzing test results, and ensuring compliance with industry standards.

Key Responsibilities:

1. Technical Support & Project Assistance

• Assist senior engineers in project design, execution, and troubleshooting.
• Conduct research, collect data, and prepare technical reports.
• Participate in product development and testing processes.

1. Production & Process Optimization

• Monitor production activities and ensure smooth operation.
• Identify inefficiencies and propose process improvements.
• Coordinate with production teams to maintain workflow efficiency.

1. Quality Control & Assurance

• Conduct quality checks and inspections of materials, components, and finished products.
• Ensure products meet industry and regulatory standards.
• Assist in root cause analysis and corrective action implementation.

1. Equipment Maintenance & Safety Compliance

• Ensure machines and tools are properly maintained.
• Follow safety protocols and assist in risk assessment.
• Train workers on the safe operation of equipment.

1. Documentation & Reporting

• Maintain records of production, quality tests, and project progress.
• Prepare reports for senior engineers and management.
• Assist in preparing SOPs (Standard Operating Procedures).

Hiring for UK Education Campaign -

Interview process Remote.

Key Points for Job Seekers (Why should you join CogentHub)

Lead Generation;

No Sales;

Fixed Salary Date;

Home Drop facility (Pickup as per COVID Situation).

Paid Training Sessions;

Fixed shift timings / No stretch;

Fixed 6 days working

Daily & Monthly Incentives;

Best Pay package in the Industry.

Required:

Excellent English Communication Skills

Basic Computer Knowledge

Full Time Job in Voice Process

Preferred Experience 6 months to 1 Year in any International BPO domain

Job Descriptions:

• You have to deal with UK B2C customers for Lead Generation process.  

Facilities:
Fixed Office Timings - (3:00pm- 12.00 am midnight)

Attractive Salary Packages (Fixed Salary)

Salary on Time

Free Home Drop Facility (as per the Transport Boundary)
Huge  Daily & Monthly Incentives.
6 Days Working
 

Our Address:

Cogent Hub Private Limited

Udyog Vihar, Gurugram - 122016