ETL Jobs in Jaipur

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CI

Sr. Data Scientist

Cimet

3-7 Years | Not Disclosed | Jaipur, Rajasthan, India | Full-time

Position: Senior Data Scientist Location: Jaipur Job Type: Full-Time Experience: 3 7 Years Qualifications: BCA, MCA, B.Tech, or any technical graduation About CIMET CIMET is a leader in comparison software, providing end-to-end online solutions for comparing and signing up for energy, telecommunications, credit cards, and other financial products in both B2B and B2C environments. With over 40 utility and financial service providers and 200+ partners, CIMET continues to disrupt the Australian comparison market through its integrated technology platform. Following a strategic partnership with iSelect, which acquired a 49% stake in 2022, CIMET is rapidly expanding into new product verticals such as home loans, car loans, personal loans, and various insurance categories. With a global team across Australia, India, and the Philippines, CIMET is positioned to double in size over the next two years. Role Overview We are seeking a highly skilled and forward-thinking Senior Data Scientist to lead cutting-edge AI/ML initiatives. You ll work on Recommendation Engines, Chatbots, Generative AI, and Large Language Models (LLMs) to deliver real-world, scalable solutions that directly impact product performance and customer engagement. This role requires strong technical expertise, innovation, and the ability to collaborate across engineering, product, and business teams. Key Responsibilities Design and deploy Recommendation Systems using collaborative filtering, matrix factorization, and content-based filtering. Build intelligent Chatbots and virtual assistants with NLP capabilities for automated customer interaction. Develop Generative AI models for content creation, automation, and intelligent business processes. Research and implement Large Language Models (LLMs) such as GPT, BERT, T5 for domain-specific applications. Collaborate with engineering teams to integrate AI/ML models into production-ready systems. Perform data exploration, preprocessing, and feature engineering on large structured and unstructured datasets. Stay abreast of emerging technologies and contribute new ideas for innovation and process improvement. Mentor junior team members, promote best practices, and lead by example in AI/ML project execution. Translate business requirements into machine learning solutions in collaboration with product and business teams. Ensure ethical AI practices and implement explainability and bias-mitigation strategies. Required Skills & Qualifications 5+ years of experience in Data Science or Machine Learning roles. Hands-on experience building and deploying Recommendation Engines at scale. Proven expertise in NLP and Conversational AI (chatbots, virtual assistants). Deep knowledge of Generative AI models including Transformers and GANs. Proficiency with Large Language Models (e.g., GPT, BERT, T5, etc.). Strong command of Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face, NLTK, NumPy, Pandas. Experience working with cloud platforms (AWS, GCP, or Azure) for ML model deployment. Solid experience with data pipelines, ETL processes, and querying large datasets using SQL/NoSQL. Familiarity with MLOps tools and workflows for deploying and monitoring ML models in production. Strong mathematical and statistical foundation in model development and evaluation. Preferred Qualifications Experience with Reinforcement Learning and personalization in recommendation systems. Understanding of ethical AI, fairness, and bias detection techniques. Prior exposure to A/B testing, experimentation frameworks, and AI performance monitoring. Experience mentoring junior data scientists and leading cross-functional AI/ML projects. Strong communication skills and ability to explain technical concepts to non-technical stakeholders. Work on impactful, large-scale AI projects in a fast-scaling tech company. Collaborate with a global team of talented engineers, data scientists, and product leaders. Be part of an innovation-driven environment leveraging the latest in AI, LLMs, and cloud technologies. Competitive compensation and continuous learning opportunities in advanced data science fields. Qualification : BCA, MCA, B.Tech, or any technical graduation

Sr. Data Scientist Sr. scientist Data scientist
PS

Senior Data Engineer + Ai

Pratham Software

2-5 Years | Not Disclosed | Jaipur, Rajasthan, India | Full-time

Position: Senior Data Engineer + AI Experience: 2 5 years Location: Jaipur Category: Careers / Data & AI About the Role We re seeking a dynamic Senior Data Engineer with a strong foundation in PySpark, Apache Spark, and Databricks, who is also enthusiastic about working with Generative AI and Agentic AI technologies. This is an opportunity to work at the intersection of data engineering, AI innovation, and business insights delivering impactful solutions for high-value clients. Key Responsibilities Design and develop scalable data pipelines for batch and real-time processing using PySpark, Spark, and Databricks. Enable AI-driven solutions, including Retrieval-Augmented Generation (RAG), embedding models, and LLM integration. Build and maintain BI dashboards and reports using Power BI, Tableau, or Looker. Perform in-depth data analysis to support data-driven strategies and insights. Architect and manage data warehouses and data lakehouse environments with Snowflake, PostgreSQL, etc. Support the integration and orchestration of LLM agent frameworks (LangChain, Haystack, CrewAI, etc.). Ensure pipeline performance, cost-efficiency, and monitoring in cloud platforms (Azure, AWS, or GCP). Collaborate across teams AI researchers, analysts, and business stakeholders to drive end-to-end solutions. Uphold best practices in data governance, metadata management, and compliance using tools like DataHub or Azure Purview. Required Skills & Experience Advanced skills in PySpark, Apache Spark, and Databricks. Proficient in SQL for data modeling and transformation. Hands-on experience with data visualization tools (Power BI, Tableau, Looker). Solid understanding of relational databases, data warehousing, and data lake architectures. Exposure to Generative AI, RAG pipelines, vector databases (FAISS, Pinecone, ChromaDB). Familiarity with Agentic AI tools such as LangChain, Haystack, CrewAI. Cloud experience with Azure, AWS, or Google Cloud. Strong communication and problem-solving skills with the ability to translate business needs into data solutions. Preferred Qualifications Experience with Databricks-native tools: MLflow, Delta Live Tables. Knowledge of prompt engineering, LLM deployment, and orchestration. Familiarity with CI/CD, Docker, Git, and DevOps practices. Understanding of Responsible AI, privacy regulations, and data ethics. Background in consulting, enterprise AI/ML, or product development. This role is ideal for engineers passionate about building robust data systems while exploring the potential of AI in real-world use cases. Apply Now to join a team where data meets intelligence.

Senior Data Engineer Senior engineer Data Engineer
MS

Salesforce Tech Lead

Metacube Software Pvt. Ltd.

8-15 Years | Not Disclosed | Jaipur, Rajasthan, India | Full-time

Position: Salesforce Tech Lead Experience: 8-15 Years Work Location: Jaipur Job Description: Analyze and review business, functional, and technical requirements. Design and create the underlying data structure and data flows to support application builds, including: Custom Objects/ Fields Workflows Approval Processes Apex Triggers Visualforce Pages Other Force.com Features Hands-on experience with Force.com Platform, APEX Data Loader, SFDC (Admin, VSF, APEX, and Lightning). Experience working with Workbench & ANT. Create technical designs for projects as per functional and non-functional requirements in accordance with defined architecture. Act as a conduit between customers (internal/external) and the development team, interfacing with stakeholders and business analysts. Troubleshoot and assist project teams by performing code reviews and resolving technical issues. Well-versed in Agile methodologies, sprint planning, sprint review, and conducting sprint-end demos for stakeholders. Adopt reusability and best architectural, design, and coding practices. Proficiency in Object-Oriented Programming (OOPs) and JAVA. Experience in building Salesforce APIs and Web Service-enabled applications (SOAP and REST). Strong understanding of Salesforce REST, Enterprise, and Metadata API. Salesforce platform certifications (Platform Developer 1, Platform Developer 2) preferred. Education: B.Tech. (Any Specialization) / M.Tech. (Any Specialization) / MCA / Diploma (A Level / B Level / O Level) Key Skills: Extensive design and development experience in Salesforce (APEX, Lightning). Strong understanding of Salesforce developer toolkit, including: Objects and Fields Relationships Custom Labels Profile Management Field-Level Security Permission Sets Custom Metadata Triggers Platform Events Locker Services REST APIs Hands-on experience with Salesforce Lightning Aura and web technologies (HTTP, JavaScript, HTML, CSS). Must have integrated Salesforce with third-party services. Strong understanding of SFDC Platform & best development practices. Experience working with version control tools like SVN, Sourcetree. Experience using IDEs such as Eclipse, IntelliJ, Sublime. Familiarity with writing functional test cases in APEX. Good understanding of Salesforce web services. Qualification : B.Tech. (Any Specialization)/ M.Tech. (Any Specialization)/ MCA/ Diploma (A Level/ B Level/ O Level)

Salesforce Tech Lead Salesforce lead Tech lead

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