Urgently hiring for the position of Chief Marketing Officer (CMO)

Job Title: Data Engineer

Location City: Gurugram

Industry: Research and Advisory Services

Role Overview

We are looking for a Senior Data Engineer (7–10 years) to play a foundational role in building Everest Group’s greenfield, Snowflake-based enterprise data platform.

This role is hands-on and ownership-driven, with a strong focus on:

Ingesting data from enterprise SaaS platforms Building scalable Snowflake ELT pipelines

Designing analytics-ready data models Owning the initial Snowflake platform foundations in collaboration with architecture leadership The ideal candidate has deep experience integrating CRM and marketing systems via APIs, is comfortable operating production- grade data pipelines, and can make sound decisions around performance, cost, and reliability.

Key Responsibilities

Robust Data Ingestion Pipelines From Enterprise SaaS Platforms, Including

 Salesforce (CRM)

 NetSuite (Finance)

 Marketing and RevOps tools such as Marketo, 6sense, Gong

 SharePoint (files, metadata, permissions)

Develop API-based Ingestion Frameworks Handling

 Authentication and authorization

 Pagination, rate limits, retries, and failures

 Incremental loads, soft deletes, and historical tracking

 Schema evolution and upstream source changes

ELT pipelines within Snowflake Write high-quality, optimized SQL for complex

transformations Build and manage data layers including raw, staged, and curated datasets

Optimize Snowflake warehouses, storage, and query performance with a strong focus on cost efficiency

Models Including

 Fact and dimension tables

 Star and snowflake schemas

 Slowly Changing Dimensions (SCD Type 1 and Type 2) Ensure data models support reporting, dashboards, and research analytics Partner with analytics and research teams to deliver analytics-ready, well documented datasets reliability including scheduling, monitoring, alerting, and recovery Implement data quality checks for accuracy, completeness, and freshness

 Support Snowflake Platform Foundations Including

 Warehouse and environment strategy (dev/test/prod)

 Role-based access control (RBAC) Secure handling of sensitive HR and finance data (PII) Troubleshoot and resolve data issues across ingestion, transformation, and consumption layers research, product, and technology stakeholders to translate business needs into data solutions Contribute to data platform architecture discussions and continuous improvement initiatives

Maintain clear documentation for pipelines, data models, and data flows

Follow modern engineering practices including Git-based version control and CI/CD workflows

Education And Experience

Bachelor’s or master’s degree in computer science, Information Technology, Engineering, Mathematics, or related field.

7–10 years of hands-on experience in data engineering or similar roles

Strong hands-on expertise with Snowflake, including ingestion, transformations, and performance optimization

Proven experience ingesting data from SaaS platforms via APIs (HR, CRM, or Marketing systems)

Advanced SQL skills and strong understanding of relational databases and data modeling

Strong Python experience for API integration, data ingestion, and automation Experience with cloud platforms (Azure preferred; AWS/GCP acceptable)

Experience with orchestration or transformation tools such as dbt, Azure Data Factory, or similar

Strong problem-solving skills, ownership mindset, and attention to detail

• Write clear, engaging, and original content for blogs, websites, and social media
• Do basic research and turn ideas into simple, easy-to-read articles
• Learn how to write with SEO (Search Engine Optimization) in mind
• Help edit and proofread content for grammar and clarity
• Work with the team to brainstorm new content ideas

• Architect and Develop: Design, implement, and maintain high-performance backend services using Java/Golang and intuitive frontend interfaces using React.
• Technical Leadership: Provide technical guidance and mentorship to junior developers, promoting best practices and fostering a collaborative environment.
• Code Quality: Write clean, efficient, and well-documented code following industry best practices and coding standards.
• Collaboration: Work with backend developers, frontend developers, product managers, and other stakeholders to gather requirements and deliver robust solutions.
• Performance Optimization: Identify and address performance bottlenecks and scalability issues.
• Debugging and Troubleshooting: Diagnose and resolve complex issues in both backend and frontend components.
• Testing: Implement comprehensive testing strategies, including unit tests, integration tests, and end-to-end tests.
• Continuous Learning: Stay current with the latest industry trends, technologies, and best practices in full stack development.

Job Title: Communication Trainer 

Location: Coimbatore 

Job Type: Full-Time 

Experience: 1–3 years (Freshers with excellent communication skills can also apply)

Job Summary:

We are seeking a passionate and dynamic Communication Trainer to train and groom students in verbal and written communication, soft skills, and overall personality development. The trainer will be responsible for preparing students for corporate readiness, interviews, and effective workplace communication.

Key Responsibilities:

• Data Collection and Preparation:
• Gathering data from various sources (databases, APIs, files).
• Cleaning and preprocessing data (handling missing values, outliers, inconsistencies).
• Transforming data into a suitable format for analysis.
• Data Analysis:
• Performing exploratory data analysis (EDA) to identify patterns and trends.
• Applying statistical techniques and machine learning algorithms.
• Creating data visualizations (charts, graphs) to communicate findings.
• Model Development and Evaluation:
• Assisting in the development and training of machine learning models.
• Evaluating model performance using appropriate metrics.
• Contributing to model tuning and optimization.

Key Responsibilities

• Design and implement scalable, maintainable, and efficient Python applications
• Lead technical projects from conception to deployment
• Collaborate with cross-functional teams to define and implement new features
• Write clean, testable code with appropriate documentation
• Conduct code reviews and provide constructive feedback to team members
• Mentor junior developers and contribute to their professional growth
• Participate in technical architecture discussions and decision-making
• Troubleshoot and debug complex software issues
• Contribute to continuous improvement of development practices and processes
• Design and implement AI/ML solutions using LLMs and related technologies
• Optimize and maintain AI model deployment pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field
• 5+ years of professional software development experience
• Strong proficiency in Python and its ecosystem (Django/Flask, FastAPI)
• Experience with SQL and NoSQL databases
• Solid understanding of software design patterns and principles
• Experience with version control systems (Git)
• Strong knowledge of RESTful APIs and microservices architecture
• Proficiency in writing unit tests and understanding of TDD practices
• Experience with CI/CD pipelines and deployment automation
• Strong problem-solving and analytical skills

AI/ML Technical Skills

• Experience with LLM frameworks (LangChain, LlamaIndex)
• Knowledge of working with large language models (GPT, Claude, etc.)
• Understanding of prompt engineering and LLM fine-tuning concepts
• Experience with vector databases (Pinecone, Weaviate, or similar)
• Familiarity with AI model deployment and serving (BentoML, Ray Serve)
• Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
• Knowledge of AI/ML observability and monitoring tools
• Understanding of AI safety practices and responsible AI development
• Experience with embedding models and semantic search implementations
• Familiarity with AI application development patterns and best practices