Computational Modeling Jobs in Pune

Job Title: Database Administrator Location: Pune About Anchanto At Anchanto, we are enabling simpler, faster, and scalable eCommerce operations through our innovative and intelligent SaaS platforms. Our mission is to transform the way businesses conduct eCommerce, making backend operations more efficient for companies of all sizes. With a headquarters in Singapore, a global product engineering center in Pune, India, and a strong local presence in the countries we serve, Anchanto continues to grow rapidly, serving over 300 customers worldwide. As part of our expanding engineering team, we are seeking an experienced Database Administrator (DBA) to help us manage, optimize, and scale our database infrastructure. If you re passionate about database solutions and eager to work with cutting-edge technology in a fast-growing product company, we want to hear from you! Role Overview As a Database Administrator, you will be responsible for developing, managing, and optimizing database solutions to support our growing eCommerce platforms. Your expertise will ensure the high performance, availability, and security of our databases, including MySQL, Postgres, and potentially NoSQL databases. You will work closely with development teams to understand their needs and provide optimal database solutions, from design to performance tuning and high-availability configurations. Key Responsibilities Develop and design database solutions: Define the database physical structure and functional capabilities, ensuring they align with system requirements and security protocols. Database performance management: Configure and manage AWS RDS services, monitor database health, troubleshoot issues, and take corrective action as needed. Troubleshoot and resolve database issues: Act quickly to resolve database outages, errors, or performance issues, including providing after-hours and weekend support when necessary. Proactively monitor DB performance: Set up and configure monitoring tools to help detect potential risks and performance bottlenecks before they impact operations. Optimize database performance: Recommend and implement strategies for hardware upgrades, query optimization, indexing improvements, and server configuration adjustments to boost performance. Collaborate with development teams: Work closely with engineers to understand their database needs and design the most efficient and scalable database solutions. Ensure high availability and disaster recovery: Configure databases for high availability, clustering, and cloud deployment to maintain uptime and data redundancy. Administer database best practices: Own the database backup, restore, and retrieval processes, ensuring that all procedures adhere to best practices and compliance standards. Learning and adopting new technologies: Stay up to date with database technologies, including MySQL, Postgres, and NoSQL databases, and apply knowledge to improve solutions across the platform. What You ll Bring At least 5 years of hands-on experience as a DBA, with strong expertise in database administration, including backup management, performance monitoring, and tuning. Experience with MySQL and/or Postgres: Strong command over these relational databases, including managing stored procedures, triggers, indexes, and optimizing SQL queries for performance. AWS RDS experience: Proficiency in configuring and managing AWS RDS services, with an understanding of cloud-based database management. Strong knowledge of database design: Excellent understanding of data modeling and database schema design, with hands-on expertise in optimizing DB architecture for scalability and performance. Proven expertise in database tuning and performance optimization: Demonstrated ability to troubleshoot and optimize database performance for high-volume transactional systems. Experience with NoSQL databases: Exposure to NoSQL technologies such as MongoDB or Cassandra is a plus, as you may be involved in integrating such systems in the future. Bonus: Experience with Data Warehouse or BI (Business Intelligence) systems is a plus. Bonus: Prior experience in building high-performance e-commerce software is highly desirable. Strong communication and collaboration skills: Ability to work cross-functionally with development, DevOps, and other teams to ensure database solutions meet the needs of the business. Innovative & Fast-Growing Company: Join a dynamic, fast-growing SaaS company that is revolutionizing eCommerce operations for businesses worldwide. Cutting-Edge Technology: Work with modern database technologies, cloud platforms, and AI-powered solutions in an agile and collaborative environment. Career Growth: At Anchanto, we prioritize learning and development, offering a strong career path for those passionate about technology and growth. Work-Life Balance: We believe in a healthy work-life balance and offer flexible working hours and a supportive environment. Global Impact: Your work will impact hundreds of businesses globally, enhancing the performance and efficiency of their eCommerce platforms. If you're an experienced DBA looking for an exciting new challenge with a fast-growing product company, Anchanto could be the perfect place for you. Apply now to join our team and contribute to the next generation of eCommerce technology!

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Job Title: Mechanical Engineer (BIM) Location: Pune Experience: 1 5 Years Qualification: B.E./B.Tech in Mechanical Engineering or Diploma in Mechanical Engineering Role Overview: We are seeking a highly motivated Mechanical Engineer (BIM) with hands-on experience in Revit MEP and BIM coordination to join our Pune-based team. The ideal candidate will work on a variety of domestic and international projects, handling mechanical services modeling, coordination, documentation, and BIM standards compliance across all stages of the project lifecycle. Key Responsibilities: Review project specifications and technical documents to support BIM execution. Assist in Revit model setup and input data validation. Perform mechanical services modeling using Autodesk Revit MEP and ensure coordination with architecture, structure, electrical, and other disciplines. Support creation of Revit content, parametric families, and detailed mechanical models including HVAC, plumbing, and fire protection systems. Manage project tasks, allocate daily responsibilities, and ensure timely delivery of project milestones. Participate in internal team discussions and client coordination meetings. Create, review, and QA/QC mechanical drawings, fabrication/shop drawings, and builder s work/spool drawings. Conduct clash detection and coordination using tools like Navisworks, BIM 360, BIMTrack, or Revizto. Perform BOQ and quantity take-offs, and contribute to drawing documentation and sheet setup. Adhere to client-specific BIM standards and ensure quality across all project deliverables. Provide technical support and feedback throughout different project phases. Required Skills & Experience: Mandatory: Proficiency in Autodesk Revit MEP and Autodesk Navisworks. Familiarity with AutoCAD is an added advantage. Working knowledge of pipe and duct sizing, pressure drop, and basic mechanical design calculations. Experience working in Common Data Environments such as BIM 360, Bluebeam, Dropbox, or ProjectWise. Hands-on experience with clash coordination tools like BIMTrack, Revizto, or BIM 360 Issues. Experience across diverse project types including residential, commercial, institutional, healthcare, transportation, and data centers. Prior experience with international projects is essential. Strong understanding of Revit modeling tools, including views, sheets, schedules, filters, and family creation. Ability to work on fabrication models, perform hanger/support modeling, and generate shop and spool drawings. Proficiency in mechanical services coordination and QA/QC review of 3D models and documentation. Knowledge of project phases and required deliverables at each stage. Soft Skills & Attributes: Strong oral and written communication skills. Ability to manage and prioritize multiple tasks in a fast-paced environment. Proactive, self-motivated, and adaptable to changing project requirements. Positive attitude with excellent teamwork and interpersonal skills. Professionalism in communication with team members, clients, and stakeholders at all levels. Qualification : B.E./B.Tech in Mechanical Engineering or Diploma in Mechanical Engineering

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Job Description: Key Responsibilities: Working knowledge of Durability domain (theory & principles of Linear, Non-Linear, Fatigue and Vibrations) Working knowledge of vehicle durability assessment and testing Analysis model building for vehicle aggregates, BIW, suspension, trims, full Vehicle durability simulation etc. Sound knowledge mechanical engineering and automotive engineering. In-depth knowledge of vehicle Durability domain for theory, objective & subjective assessment, experimental data analysis, durability target setting, root cause analysis. In depth knowledge of vehicle subsystem / systems (e.g., Body, trims, Powertrain, Suspension, Chassis etc) for construction, operation & its dynamics. Expert in meshing and modelling software in Automotive companies or Engineering services company with hands on Durability-CAE tools. Educational Qualification: BE / B.Tech / ME / M.Tech Number of Positions: 3 Skills: ANSA & Abaqus

Operations Research Scientist Location: Pune, India About Aera Technology Aera Technology is a leading Decision Intelligence company, empowering enterprises to operate with greater efficiency, intelligence, and sustainability. Our cutting-edge platform, Aera Decision Cloud , seamlessly integrates with existing systems to digitize, augment, and automate decision-making in real time. Trusted by some of the world's most recognized brands, Aera delivers millions of AI-driven recommendations that drive significant revenue growth and cost savings. Role Overview We are seeking an exceptional Operations Research Scientist to join our team in Pune, India. In this role, you will work on challenging mathematical optimization applications, leveraging data science and advanced optimization modeling techniques. You will play a key role in developing analytical strategies and models to enhance efficiency and cost-effectiveness across various operational domains. Key Responsibilities Analyze and solve complex operational problems related to planning, pricing, and supply chains using data-driven approaches. Design, implement, test, and deploy robust optimization algorithms for real-world applications. Develop large-scale linear and integer programming models, heuristic solutions, and efficient optimization techniques. Collaborate closely with solution delivery teams to promote and implement optimization-driven strategies. Work directly with customers and engagement leaders to support live projects and deliver impactful solutions. Qualifications & Skills Bachelor s degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline. 10-15 years of relevant experience in mathematical optimization, data modeling, or operations research. Strong expertise in optimization methods and solvers (e.g., CPLEX, Gurobi, COIN-OR). Proficiency in Python and experience working with large-scale data environments. Ability to work proactively in a remote-friendly environment without requiring micromanagement. Technical Environment Cloud Infrastructure: AWS Operating System: Linux Big Data & Analytics: Spark Programming Language: Python At Aera Technology, we foster an innovative and collaborative workplace that enables employees to grow and thrive. As part of our global team, you will work on cutting-edge technologies and drive impactful solutions for some of the world s top enterprises. We offer: Competitive compensation and company stock options. A dynamic, flexible, and remote-friendly work environment. Opportunities for professional growth and continuous learning. Equal Opportunity Employer Aera Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status. Join us and be a part of building a smarter, more sustainable future! Qualification : Bachelors degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline.

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Business Analyst / Senior Business Analyst Location: Pune Experience: 3 7 years Education: BE / ME / M.Sc / MCA Job Type: Full-Time Job Overview We are looking for an experienced Business Analyst or Senior Business Analyst to join our Client Solutions team. The ideal candidate will be responsible for evaluating business processes, identifying areas for improvement, and designing solutions that align with business needs. You will work closely with stakeholders, clients, and cross-functional teams to optimize processes, document requirements, and ensure timely project completion. Key Responsibilities Business Process Evaluation & Improvement: Evaluate and analyze business processes, identify gaps, and anticipate requirements for process optimization. Lead ongoing reviews of business processes, developing strategies for improvement and automation. Stay updated on the latest trends, IT advancements, and tools to modernize and automate systems. Requirements Analysis & Documentation: Conduct thorough requirements analysis to understand client needs and create clear, actionable plans. Document findings, insights, and business requirements in the form of Functional Requirements Documents (FRD). Effectively communicate your insights, plans, and findings to cross-functional teams and management. Collaboration & Communication: Lead meetings, workshops, and presentations to share ideas, progress, and findings with internal teams. Work closely with clients, technical teams, and managers to ensure that solutions meet business needs and requirements. Act as a liaison between stakeholders and users, ensuring smooth communication and expectations management. Testing & Implementation: Perform User Acceptance Testing (UAT) to validate that the solution aligns with client needs and requirements. Monitor deliverables and ensure the timely completion of projects. Update, implement, and maintain procedures to ensure continual process improvement. Global Client Engagement: Travel to client locations globally, as per business needs, to ensure the successful implementation of projects. Skills & Experience Requirements 3 to 7 years of experience in business analysis or a related field. Experience in CRM or eCommerce domains preferred, but not mandatory. Strong experience in creating detailed reports and delivering presentations. Proficiency in Microsoft Office applications, including Word, Excel, PowerPoint, and Outlook. Proven experience in leading successful projects and teams. Exceptional analytical and conceptual thinking abilities. Excellent documentation and communication skills. Ability to influence stakeholders and collaborate to define acceptable solutions. Advanced technical skills and a strong understanding of business processes. Excellent planning, organisational, and time-management skills. Qualification : BE / ME / M.Sc / MCA

Job Title: Lead Engineer BIM Electrical Location: Pune Qualification: B.E. (Electrical or related field) Experience: 8 12 Years Role Overview: We are seeking an experienced Lead Engineer BIM Electrical to take full ownership of BIM-related electrical deliverables across diverse MEP projects. The ideal candidate will bring deep expertise in Revit MEP, strong coordination capabilities, and a proven track record of working on international, multidisciplinary projects. This is a leadership role focused on technical excellence, BIM implementation, and cross-functional collaboration. Key Responsibilities: Lead and manage the BIM Electrical function, ensuring high-quality modeling, coordination, and documentation across all projects. Oversee the implementation and management of BIM software tools relevant to Electrical systems. Assist project teams with BIM project setup, model configuration, and adherence to organizational standards. Support active project work including Revit MEP 3D modeling, detailing, and clash coordination. Liaise and coordinate directly with clients, consultants, and other engineering disciplines for seamless project delivery. Troubleshoot and resolve BIM design or modeling issues to maintain workflow efficiency. Develop, document, and update BIM implementation strategies, standards, and best practices. Conduct technical onboarding and training for new team members on BIM tools and workflows. Required Skills & Experience: Proven expertise in Revit MEP Electrical 3D modeling and detailing. Strong experience in BIM coordination, particularly across MEP disciplines. Exposure to international projects and understanding of global BIM standards and workflows. Experience in multidisciplinary coordination, especially in large-scale projects such as commercial, residential, mixed-use, and institutional buildings. Good understanding of 3D electrical systems, components, and layouts typically used in building projects. Strong visualization and spatial coordination skills, with the ability to work on complex architectural and MEP projects. Effective communication skills, with the ability to lead and mentor junior engineers and collaborate with cross-functional teams. Qualification : B.E. (Electrical or related field)

Position: Senior Analyst TReC Costing Location: Pune, India Company: FORVIA (Faurecia Interior Systems) About FORVIA FORVIA is a global leader in automotive technology, focused on delivering innovative and sustainable mobility solutions. As the 7th largest global automotive supplier, we are shaping the future of mobility with over 157,000 employees in 43 countries. Your Mission As a Senior TReC Costing Analyst, you will be responsible for calculating and managing tooling reference costs for FORVIA Interior Systems programs. You will play a key role throughout the acquisition and development phases, working closely with cross-functional teams to ensure accurate, competitive, and optimized tooling cost estimations aligned with our program and business goals. Key Responsibilities Acquisition Phase Define the complete tooling package (in-house, bought-out parts, and assembly tools) per Program Management System (PMS) guidelines. Analyze the Bill of Materials (BOM) and process flow charts to build a detailed tooling list. Develop tooling concepts using CAD models, 2D drawings, and technical visuals (e.g., tool movements, inserts, cavities). Estimate tooling costs in alignment with the Tool & Equipment (T&E) strategy. Apply defined tooling margins and create pricing summaries in customer-specific (OEM) templates. Present and distribute cost breakdowns to internal stakeholders (Program Managers, T&E Buyers, etc.). Update and refine cost estimates across acquisition rounds, collaborating with Customer Business Units (CBUs). Contribute ideas to enhance FORVIA's competitiveness in project quotations. Development Phase Support Engineering and T&E Buyers with cost estimates for Engineering Change Requests (ECRs). During tooling RFQ (Request for Quotation) phases, calculate target costs based on part designs, technical specifications (IDS), and T&E strategies. Compare supplier cost breakdowns with TReC estimates during SNC (Supplier Nomination Committee) phases. Analyze gaps and provide justification or negotiation support to the Purchasing team. Maintain costing data for traceability and knowledge sharing post-nomination. Support tooling cost targets for engineering or program design changes. Cross-functional Collaboration Work closely with: CBU Cost Analysts (for both in-house and BOP parts), Central Costing Teams (to evolve TReC methodology), Global teams to ensure cost competitiveness and process alignment. Contribute to continuous improvement within the costing function by proposing innovative ideas and solutions. Your Profile Education & Experience Bachelor s or Master s degree in Engineering, or Diploma in Tool & Die Design. 6 10 years of experience in industrial environments, including exposure to production, tooling, or manufacturing engineering. Technical Skills Deep understanding of Injection Molding tools, post-processing tools (e.g., plastic welding, gauges, covering), and assembly processes. Familiarity with interior automotive components such as instrument panels, door panels, and center consoles. Knowledge of various supplier technologies is an advantage. Proficiency in interpreting CAD data and 2D technical drawings. Soft Skills Strong communication, analytical, and problem-solving abilities. Ability to synthesize complex technical data into actionable insights. Comfortable working cross-functionally and across international teams. Fluent in English (mandatory); basic knowledge of French or German is a plus. Global Impact: Work with a top-tier automotive supplier on industry-defining technologies. Innovation & Growth: Collaborate on high-impact projects and develop your career in a dynamic, global environment. Learning Culture: Access cutting-edge training through FORVIA University. Sustainability Leadership: Join a company committed to CO2 Net Zero and certified under the SBTi Net-Zero Standard. Inclusive Workplace: Thrive in a diverse, multicultural team that values collaboration and continuous improvement. Qualification : Bachelors or Masters degree in Engineering, or Diploma in Tool & Die Design

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Position: Manager / Senior Manager Engineering Design Location: Pune Reports To: Engineering Project Lead Educational Qualification: B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering Experience: 12 16 years Industry: Construction Equipment / Automotive / Heavy Engineering Purpose of the Role To lead the end-to-end design and development of construction and earthmoving vehicles (CEV), ensuring innovation, functionality, manufacturability, and cost-effectiveness. This role is responsible for full product lifecycle management, from concept development and prototyping to validation, production readiness, and continuous improvement. Key Responsibilities Full Lifecycle Product Development Drive product development from concept through design, prototyping, testing, manufacturing, and implementation for CEVs. Develop system and component-level solutions aligned with functional, cost, material, and manufacturing requirements. Design Execution & Evaluation Create and review system concepts to ensure innovative and competitive design. Perform 3D modeling, 2D detailing, tolerance stack-ups, and geometric dimensioning (GD&T) using industry-standard CAD tools. Ensure designs are production-ready, meeting engineering, safety, and quality standards. Testing, Validation & Analysis Coordinate testing activities, including trial setups, instrumentation, and performance evaluations. Analyze test data, validate design intent, and implement necessary modifications. Conduct complex engineering calculations for strength, stiffness, service life, and material performance. Collaboration & Coordination Coordinate with internal cross-functional teams and external partners (vendors, design houses) for development and validation activities. Provide specifications, supervise and validate output from external design service providers. Resolve engineering issues and support production and service teams with design inputs. Design Documentation & Control Create and maintain technical documentation: engineering drawings, BOMs, cost comparison sheets, and design change notes. Ensure timely execution of engineering change requests (ECRs) and track their implementation. Use PLM and ERP systems for revision control and release management. Innovation & Standardization Drive the creation of new concepts for components, systems, and subsystems. Standardize parts and subassemblies to improve design efficiency and reduce cost. Identify opportunities for process improvement and design optimization. Key Competencies & Skills Deep technical knowledge in structural systems, fabrication, and vehicle integration. Proficiency in CAD tools (e.g., Creo, CATIA, SolidWorks) and PLM systems. Strong analytical skills in engineering calculations (load path, stiffness, stress, fatigue). Expertise in GD&T, tolerance analysis, and manufacturing drawing preparation. Hands-on experience with design problem-solving and root cause analysis. Effective communication and stakeholder management skills. Ability to lead cross-functional design reviews and mentor junior engineers. Role Authorities Accountable for design ownership and lifecycle maintenance of assigned systems/products. Responsible for execution and approval of engineering changes related to design. Qualification : B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering

Business Analyst Biocarbon Business Location: Pune Experience: 5 10 Years Function: Biocarbon Business Education: Bachelor s degree in Engineering Master s degree in Business Administration, Environmental Science, or a related field Job Summary: We are looking for a dynamic and analytical Business Analyst to support the growth of BiofuelCircle s Biocarbon Business. The role is central to improving platform engagement for internal and external stakeholders, enhancing user experience, and driving data-driven decisions for sustainable bioenergy solutions. The Business Analyst will work on market research, financial modeling, regulatory compliance, and cross-functional collaboration to support strategic business goals. Key Purpose of the Role: To enable smooth operational workflows, resolve user challenges, and support strategic initiatives by providing insights from data, market analysis, and project evaluation ultimately strengthening BiofuelCircle s impact on the biocarbon and sustainability ecosystem. Key Responsibilities: 1. Market & Competitive Analysis Research carbon markets, sustainability trends, and competitor strategies. Generate actionable insights for business development and strategic planning. 2. Data Analysis & Reporting Collect, analyze, and interpret data related to carbon credits, environmental projects, and financial metrics. Deliver meaningful reports and dashboards to support decision-making. 3. Stakeholder Collaboration Work closely with New Market Development, Supply Chain, Finance, and Project Management teams. Ensure alignment between project execution and overall business strategy. 4. Financial Modeling Build robust financial models and conduct sensitivity analyses for carbon offset and credit-based initiatives. Evaluate investment opportunities and project viability across multiple scenarios. 5. Regulatory Compliance Ensure all projects comply with relevant national and international carbon standards and certification protocols. 6. Technology & Innovation Support Contribute to digital innovation initiatives such as blockchain-based carbon tracking and AI-driven analytics. Ideal Candidate Profile: Professional Experience: Experience in carbon markets, sustainability, biocarbon, biomass, or nature-based solutions (NBS). Proven ability to build financial models and conduct scenario-based analysis. Core Competencies: Strong analytical and problem-solving capabilities. Excellent communication and stakeholder engagement skills. Exposure to industrial technologies and project development is an advantage. Travel Requirements: Minimal (as per project or stakeholder needs) Opportunity: This is a unique opportunity to work at the intersection of sustainability, innovation, and strategic business development. As a Business Analyst, you will contribute directly to shaping India s emerging biocarbon economy while working on impactful projects that promote circular growth and environmental compliance. Collaboration: This role requires regular interaction with teams in New Market Development, Supply Chain, Finance, and Project Management to ensure cohesive project outcomes and aligned business objectives. Qualification : Bachelors degree in Engineering and Masters degree in Business Administration, Environmental Science, or a related field

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.