GCP Bigquery

Role & Responsibilities

We’re looking for an experienced Data Architect to lead enterprise-scale data modernization initiatives leveraging Microsoft Fabric. In this role, you will define the target-state architecture, implement Medallion (Bronze/Silver/Gold) architecture within Fabric Lakehouse, and establish enterprise data governance frameworks. You will also build GenAI-ready data platforms that enable advanced analytics, machine learning, and secure enterprise-wide data access.

Responsibilities:

• Lead enterprise-scale implementation of modern data platforms using Microsoft Fabric
• Design and implement Medallion architecture (Bronze/Silver/Gold)
• Architect scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions
• Define data modeling standards (Dimensional, Data Vault)
• Establish data governance frameworks including cataloging and lineage
• Build CI/CD pipelines for data platforms
• Design AI/ML and Generative AI-ready architectures
• Build ingestion pipelines (batch, streaming, CDC)
• Enable real-time data processing
• Develop target-state architecture and standards
• Collaborate with cross-functional teams
• Act as a trusted advisor to clients

Ideal Candidate

• Strong Microsoft Fabric / Azure Data Architect profile
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations
• Mandatory (Experience 3) – Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture and scalable lakehouse platforms supporting batch and real-time workloads
• Mandatory (Experience 4) – Strong experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures
• Mandatory (Experience 5) – Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses
• Mandatory (Experience 6) – Must have hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines
• Mandatory (Experience 7) – Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls
• Mandatory (Skill 1) – Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management
• Mandatory (Skill 2) – Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases
• Mandatory (Skill 3) – Experience with orchestration and workflow tools, and integrating data platforms with BI tools like Power BI for enterprise reporting
• Mandatory (Note) – Only immediate joiners (within 15 days) will be considered
• Preferred (Certification) – Microsoft Fabric / Azure certifications; exposure to MDM, data quality frameworks, and enterprise metadata tools

Job Description – Information Security Engineer / Security Analyst

Job Location Arjan Garh

On-site

Role Summary

Responsible for vulnerability assessment, security monitoring, incident management, compliance activities, and maintaining the organization’s overall security posture.

Key Responsibilities

* Perform VAPT for web apps & infrastructure using Burp Suite, Nmap, OWASP ZAP, OpenVAS.

* Identify, validate, and report vulnerabilities as per OWASP Top 10 & CVSS.

* Monitor security alerts through Wazuh SIEM and handle incidents as per defined SLAs.

* Support ISO 27001 & 27701 audits, client security assessments, and evidence collection.

* Prepare security documentation (policies, checklists, incident reports, VAPT reports).

* Coordinate with vendors for black-box/grey-box testing and with clients during audits.

* Assist with basic AWS security reviews, IAM checks, SG reviews, and Secret Manager.

* Maintain vulnerability tracker, incident register, and key management logs.

Requirements

* 2–3 years of experience in Information Security/VAPT.

* Hands-on experience with Burp Suite, Nmap, OWASP ZAP, Wazuh, OpenVAS.

* Strong understanding of OWASP Top 10, CVSS, SIEM operations, and basic AWS security.

* Good documentation and communication skills.

Nice to Have:

* Experience in fintech/API-based products.

* Familiarity with Fortinet/Reticen8 firewalls.

* Certifications: CEH, ISO 27001 LA/LI, Security+, AWS Security (optional).

To apply reach out on https://www.linkedin.com/in/preeti-bisht-1633b1263/

We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.

What will you need to be successful in this role?

Core Technical Skills

• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)

• Proven experience deploying production LLM applications with 1M+ tokens processed

• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling

• Production experience with RAG systems including hybrid search and re-ranking

• Deep understanding of embedding models and vector databases at scale

• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)

• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)

• Experience implementing multi-agent systems and orchestration

• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)

Advanced Capabilities

• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)

• Knowledge of knowledge graphs and graph-based RAG implementations

• Understanding of model hosting, inference optimization, and cost management

• Experience with MLOps pipelines, CI/CD for ML, and model versioning

• Ability to architect end-to-end ML solutions from data ingestion to deployment

• Experience with data pipelines and ETL for ML workflows

• Proficiency in containerization and orchestration (Docker, Kubernetes)

Client Engagement & Delivery

• Experience presenting technical solutions to clients and stakeholders

• Ability to translate business requirements into technical ML solutions

• Track record of delivering client POCs and production implementations

• Experience creating technical documentation and implementation guides

Good to have

• Experience hosting private LLMs (7B-13B models on-premises or cloud)

• Knowledge of graph databases (Neo4j) and graph neural networks

• Experience with streaming and real-time ML inference

• Published research papers or contributions to open-source ML projects

• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning

• AWS/Azure ML certifications or working towards them

Competencies

• Excellent verbal and written communication skills

• Strong mentoring ability for junior ML engineers

• Self-driven with ability to work independently on complex problems

• Excellent problem-solving skills with systematic debugging approach

• Proactive ownership of projects from ideation to deployment

• Ability to stay current with rapidly evolving AI/ML landscape

• Excellent academic record – B.E./B.Tech, MCA,

Designation : *Senior Node.js Developer*

CLient Name : *CLIRNET*

Key Responsibilities:

 Design and develop scalable, high-performance backend systems using Node.js

 Write clean, maintainable, and efficient code

 Collaborate with cross-functional teams to identify and solve complex software problems

 Participate in code reviews to maintain code quality standards

 Optimize application for maximum speed and scalability

 Develop and maintain API endpoints

 Implement security and data protection measures

 Develop and maintain automated tests to ensure code quality and coverage

 Participate in Agile development methodologies such as Scrum

Qualifications:

 Minimum of 4 years of experience in Node.js development

 Strong proficiency in Node.js and its core principles

 Experience with backend frameworks such as Express.js

 Experience with automated testing frameworks such as Jest or Mocha

 Strong understanding of software development best practices, including Agile

methodologies

 Familiarity with Git or other version control systems

 Excellent communication skills and ability to work in a collaborative team environment

Desired Candidate Profile

• Graduation is a must
• Relevant work experience of minimum 10 years in handling MFI portfolio is required
• Work experience of handling minimum 200 crore MFIs portfolio
• Excellent communication, analytical, listening and team handling skills
• Proficient in MS Office Suite     

What will you do?

• Website development using LAMP technologies.
• Responsible for the development of new applications and enhancements in an existing application.
• Responsible for testing of the application, performance analysis, etc.
• Good communication skills.
• Strong Analytical and troubleshooting skills.
• Ability to meet deadlines while staying focused.
• Attention to detail and ability to work with 100% efficiency.

What does it need?

• This is a role for a talented and ambitious PHP Developer. Experience in web development preferred with graduation in a similar field.
• Minimum 2 years of experience.
• Knowledge of PHP & MySQL is a must.
• Should be capable of deploying application on Apache Web Server.
• Knowledge of HTML, CSS & JavaScript.
• Knowledge of Linux/Ubuntu etc will be an added advantage.
• Knowledge of jQuery and Ajax will be an added advantage.