Were Hiring | Tech Lead – Big Data Location: Kharadi, Pune (Work from Office) Experience: 6–9 Years Join Hoonartek and be part of a team that’s building next-gen Big Data solutions! If you love working on cutting-edge technologies and leading impactful projects, we want you. What You’ll Do: Design, develop, and lead scalable Big Data solutions Work with tools like Hadoop, Spark, Hive, Kafka, Sqoop, Flume & more Collaborate with teams to deliver high-quality, innovative products. What We’re Looking For: Strong hands-on experience in Big Data technologies Expertise in Java/Scala, scripting, RDBMS & NoSQL Great leadership, problem-solving, and analytical skills Step up, take charge, and drive Big Data innovation with us! Share cv at shubham.thorbole@hoonartek.com with below details - Current Location - Comfortable to work from kharadi Pune - Exp - Notice Period / LWD - Current CTC - Expected CTC -
Were Hiring | Tech Lead Big Data Location: Kharadi, Pune (Work from Office) Experience: 6 Years to 9 Years Join Hoonartek and be part of a team that’s building next-gen Big Data solutions! If you love working on cutting-edge technologies and leading impactful projects, we want you. What You’ll Do: Design, develop, and lead scalable Big Data solutions Work with tools like Hadoop, Spark, Hive, Kafka, Sqoop, Flume & more Collaborate with teams to deliver high-quality, innovative products. What We’re Looking For: Strong hands-on experience in Big Data technologies Expertise in Java/Scala, scripting, RDBMS & NoSQL Great leadership, problem-solving, and analytical skills Step up, take charge, and drive Big Data innovation with us! Share cv at shubham.thorbole@hoonartek.com with below details - Current Location - Comfortable to work from kharadi Pune - Exp - Notice Period / LWD - Current CTC - Expected CTC -
Role: Industry Consultant (Manufacturing + Data Science) Exp - 15 Years to 22 Years Industry - Semiconductor manufacturing Job Location - Baner, Pune Responsibility: Help customers identify opportunities of monetizing their data assets to drive growth and profitability. Understand customer's engineering, supply chain and production planning requirements and design digital solutions for customers that have AI and AI-Agents embedded in them. Act as a bridge between customer business stakeholders and development teams comprising of Data Scientists and Solution Architects. Publish Whitepapers on topics covering application of AI to solve domain specific issues and drive growth in the industry. Essential Skills: Ability to manage senior customer stakeholders. Ability to help customers understand how Industry 4.0 practices can be applied in their environment. Ability to lead requirement gathering and solutioning workshops with customers. Ability to understand the latest development in AI research and relate them to areas where they can be applied. Experience: Domain: Manufacturing (Production Planning, Maintenance, Automation, Control Systems, Supply Chain) (Min. 10 years) (Actual Automation and Control Systems experience preferred) Technical: Control Systems data, Digital Applications implementation (min. 5 years). Knowledge: Statistics (Strong in application) Machine Learning / Deep Learning / LLM / Agents (Strong in concepts) Share your updated CV at shubham.thorbole@hoonartek.com with below details - Current Location - Comfortable to work from Pune location - Total exp - Any experience into manufacturing / Semiconductors / Supply chain - Notice Period / Last working date (If serving notice) - Current CTC - Expected CTC -
Backend Engineer / AI Orchestrator Location: Baner, Pune (Work from Office) Experience Level : 3 Years to 4 Years About the Role We are seeking a skilled Backend Engineer / AI Orchestrator to design and implement orchestration logic for AI agent workflows, APIs, and backend systems supporting large language model (LLM)-driven applications in the semiconductor domain. Key Responsibilities Develop backend APIs and orchestration logic using Python or Node.js. Implement Neo4j driver to generate, validate, and execute Cypher queries with guardrails and safety mechanisms. Integrate and orchestrate LLMs and helper agents (retrievers, summarizers) for RAG and few-shot tasks. Design and manage AI agent workflows ensuring modularity, reliability, and security. Implement security, rate limiting, audit logging, and monitoring mechanisms. Build retry/fallback systems and collaborate with frontend teams for real-time results. Maintain structured logging, observability, and performance tracking. Must-Have Skills Strong hands-on experience in Python or Node.js for backend development. Proficiency in Neo4j driver and Cypher query language. Experience in LLM orchestration, prompt engineering, or retrieval pipelines. Familiarity with AI agent workflow frameworks: LangChain AutoGen Semantic Kernel CrewAI Strong knowledge of security/guardrail patterns, logging, and monitoring. Good-to-Have Skills Experience with GCP (GBQ) or other cloud platforms. Familiarity with Docker/Kubernetes, async task queues, vector databases, and CI/CD pipelines. Exposure to Infrastructure as Code tools. Share your updated CV at shubham.thorbole@hoonartek.com with below details - Current Location - Comfortable to work from Baner office - Exp - Notice Period / Last working date (If serving) - Current CTC - Expected CTC -
Key Responsibilities 1. Business Process Analysis Design Engage with manufacturing, operations, quality, and engineering teams to understand existing workflows and identify areas for improvement. Document as-is and to-be processes using tools such as BPMN, Visio, or Lucidchart. Translate business goals into functional and technical requirements for system solutions (ERP, MES, LIMS, QMS, rtc ). Ensure processes align with regulatory standards and Entegris s global operating model. 2. Systems Integration Enhancement Act as a liaison between business stakeholders and IT development teams to design or enhance system functionality. Define functional specifications, user stories, and acceptance criteria for software enhancements. Support implementation, configuration, and testing of ERP/MES/QMS modules (e. g. , SAP QM, SAP PP, or similar platforms). Manage system change requests and ensure alignment with global templates and compliance frameworks. 3. Quality Compliance Alignment Ensure systems meet internal and external compliance standards (e. g. , ISO, GMP, EHS). Work closely with Quality Assurance teams to embed audit trails, data validation rules, and approval workflows into systems. Participate in validation and qualification activities (IQ/OQ/PQ) for manufacturing systems. 4. Testing User Acceptance Develop and execute test plans and test scripts to validate that system solutions meet business requirements. Coordinate User Acceptance Testing (UAT) sessions with cross-functional teams. Troubleshoot issues, identify root causes, and coordinate fixes or workarounds. 5. Continuous Improvement Reporting Monitor system performance and user feedback to recommend ongoing enhancements. Collaborate on data analytics initiatives for manufacturing KPIs (yield, scrap, throughput, quality metrics). Support training documentation and user enablement to ensure smooth adoption of new tools or processes. Required Qualifications Bachelor s degree in Engineering, Information Systems, Industrial Engineering, or related field. 5 8 years of experience as a Business Analyst / Business System Analyst in a manufacturing or quality systems environment. Experience with ERP (SAP preferred), MES, QMS, or LIMS applications. Strong understanding of manufacturing operations, quality processes, and process control principles. Proficiency in requirement gathering, process mapping, testing, and system validation. Exposure to regulatory / compliance environments (ISO, GMP, EHS). Strong communication and stakeholder management skills across business and technical functions. --- Preferred Qualifications SAP certification in PP/QM/MM modules or equivalent experience. Experience with data visualization tools (Power BI, Tableau) and SQL for analytics. Familiarity with automation tools (RPA, workflow systems) and change management methodologies. Lean Six Sigma Green Belt or similar continuous improvement certification. Prior experience in semiconductor, chemical, or high-tech manufacturing industry. ---
Responsibility: Help customers identify opportunities of monetizing their data assets to drive growth and profitability. Understand customers engineering, supply chain and production planning requirements and design digital solutions for customers that have AI and AI-Agents embedded in them. Act as a bridge between customer business stakeholders and development teams comprising of Data Scientists and Solution Architects. Publish Whitepapers on topics covering application of AI to solve domain specific issues and drive growth in the industry. Essential Skills: Ability to manage senior customer stakeholders. Ability to help customers understand how Industry 4. 0 practices can be applied in their environment. Ability to lead requirement gathering and solutioning workshops with customers. Ability to understand the latest development in AI research and relate them to areas where they can be applied. Experience: Domain: Manufacturing (Production Planning, Maintenance, Automation, Control Systems, Supply Chain) (Min. 10 years) (Actual Automation and Control Systems experience preferred) Technical: Control Systems data, Digital Applications implementation (min. 5 years) Knowledge: Statistics (Strong in application) Machine Learning / Deep Learning / LLM / Agents (Strong in concepts) Responsibility: Help customers identify opportunities of monetizing their data assets to drive growth and profitability. Understand customers engineering, supply chain and production planning requirements and design digital solutions for customers that have AI and AI-Agents embedded in them. Act as a bridge between customer business stakeholders and development teams comprising of Data Scientists and Solution Architects. Publish Whitepapers on topics covering application of AI to solve domain specific issues and drive growth in the industry. Essential Skills: Ability to manage senior customer stakeholders. Ability to help customers understand how Industry 4. 0 practices can be applied in their environment. Ability to lead requirement gathering and solutioning workshops with customers. Ability to understand the latest development in AI research and relate them to areas where they can be applied. Experience: Domain: Manufacturing (Production Planning, Maintenance, Automation, Control Systems, Supply Chain) (Min. 10 years) (Actual Automation and Control Systems experience preferred) Technical: Control Systems data, Digital Applications implementation (min. 5 years) Knowledge: Statistics (Strong in application) Machine Learning / Deep Learning / LLM / Agents (Strong in concepts)
Job Title: Practice Head - Data Analytics Artificial Intelligence Job Location Base Location Mumbai or Pune Job Summary: - We are seeking a market oriented leader to head our Data Analytics practice. The Practice Head - Data Analytics Artificial Intelligence will be responsible for overseeing the development and execution of the organization s analytics, data science strategies, driving growth, and leading a high-performing team to deliver innovative solutions that provide actionable insights to clients. This role will also involve defining the practice s vision, managing teams, driving business development, and ensuring high-quality data analysis, all while staying current with industry trends and best practices in data analytics technology. The ideal candidate will blend technical expertise, business acumen, and leadership skills to guide our analytics practice toward success in a competitive market. The role directly reports into the Chief Technology Officer. Key Responsibilities: - Leadership Strategy: Define and execute the overall Data Analytics vision and strategy in alignment with organizational goals. Identify opportunities to leverage data to solve critical business problems and create value. Stay updated on industry trends, emerging technologies, and best practices in analytics. BFSI Analytics roadmap and use case background will be a plus Delivery Management: Oversee the end-to-end delivery of data analytics projects, ensuring high quality and timely execution. Monitor project performance against key metrics and identify areas for improvement. Develop and implement processes, standards, and governance for project management and delivery. Manage budgets, timelines, and resources effectively to meet delivery commitments. Collaborate with cross-functional teams (IT, business, data science, etc.) to ensure seamless project execution. Understand client business needs and challenges to design customized data analytics solutions. Act as a trusted advisor to clients, presenting data insights and recommendations to inform decision-making. Innovation Market Awareness: Stay abreast of industry trends, emerging technologies, and new methodologies in the analytics space. Share and build market awareness in the broader organisation Explore and implement innovative analytics tools and platforms to stay ahead of competitors and meet evolving client demands. Position Hoonartek as a thought leader in the analytics industry through publications, speaking engagements, and networking. Business Development Growth: Collaborate with sales, marketing, and senior leadership teams to identify new business opportunities and expand the Analytics practice. Lead the sales process for data analytics services and develop compelling proposals and presentations to showcase their value. Develop and implement go-to-market strategies to scale the practice and increase revenue. Lead proposal and RFP responses, showcasing the capabilities of the analytics practice. Technical Expertise: Provide guidance on data strategy, architecture, and infrastructure to ensure scalability and efficiency. Establish data governance standards and best practices across the practice. Oversee the design and implementation of dashboards, reports, and analytics solutions. Ensure adherence to data governance, security, and compliance standards. Expertise in data warehousing, data lakes, data pipelines, and data visualization tools. Team Leadership Development: Lead and mentor a team of data analysts, data scientists, data engineers, and other data professionals. Foster a collaborative team culture focused on innovation and continuous improvement. Recruit and develop talent with the necessary technical and analytical skills. Proven experience leading and managing high-performing data analytics teams. Required Skills And Qualifications Educational Background Bachelor s degree in computer science, Data Science, Statistics, Business Administration, or related field. MBA or equivalent advanced degree preferred. Experience 15+ years of experience, with a significant portion focused on data analytics in BFSI, CMT or technology Proven track record of delivering large-scale analytics projects successfully with in depth experience in Cloud Technical Skills Expertise Strong understanding of data analytics methodologies, including data mining, statistical analysis, machine learning, and predictive modelling. Excellent communication and presentation skills to effectively convey complex data insights to stakeholders. Strong business acumen and ability to translate business needs into actionable data analytics solutions. Knowledge of big data platforms like Hadoop, Spark, or Snowflake is a plus. Familiarity with machine learning and AI applications in insurance.