Master Data Jobs in Pune

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: Software Engineer (Java + JavaScript) Location: Pune Experience: 3 5 Years Company: TraceLink Company Overview: TraceLink s innovative software solutions and Opus Platform empower the pharmaceutical industry to digitize their supply chain, enabling enhanced compliance, visibility, and decision-making. Our technology helps reduce disruptions in medicine supply, ensuring patients worldwide receive the treatments they need. Founded in 2009, TraceLink operates from 8 offices globally, employing over 800 professionals, and serving more than 1,300 customers across 60+ countries. We are recognized as an industry leader by Gartner and IDC and are known for a positive and inclusive company culture as rated by Comparably. Position Overview: As a Software Engineer, you will be responsible for designing, developing, and maintaining microservices that handle large-scale data interactions, contributing to all stages of the application development lifecycle. This role focuses on leveraging our cloud-based, distributed architecture to build scalable and efficient software solutions. Key Responsibilities: Develop clean, maintainable, and efficient code primarily using JavaScript (Node.js) and Java/JavaRx Design software components that maximize the benefits of our fully distributed, cloud-native architecture Provide architectural input and participate in design reviews to ensure solutions meet performance and quality standards Collaborate with Product Management, Architecture, and QA teams to clarify functional and non-functional requirements Research and recommend new technologies, tools, and methodologies to keep TraceLink at the forefront of innovation Accurately estimate development tasks and deliver within Agile Scrum sprints Integrate third-party components as needed to enhance product functionality Required Skills and Qualifications: 3-5 years of experience in application design and development Hands-on experience with JavaScript (Node.js) and Java/JavaRx, with strong proficiency in at least one Solid understanding of RESTful APIs, Microservices architecture, and container orchestration (Kubernetes) Experience with event-driven architectures and asynchronous messaging systems Skilled in writing functional and unit tests Experience building and consuming REST APIs; knowledge of Apollo Client/Server and GraphQL is a plus Familiarity with at least one cloud platform, preferably AWS Experience with CI/CD pipelines, version control systems (Git), and infrastructure as code Demonstrated ability to work effectively in an Agile/Scrum environment Strong problem-solving, communication skills, and ability to work both independently and in a team Solid fundamentals in Computer Science including Data Structures and Algorithms Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related discipline. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related discipline

Job Title: Team Member MDM Cell (Master Data Management) Experience Required: 3 to 5 Years Location: Pune Job Description We are seeking a skilled and detail-oriented professional to join our Master Data Management (MDM) Cell. The ideal candidate will be responsible for maintaining and improving the quality of master data, driving data governance, and supporting business operations through effective data management practices. Key Responsibilities Data Analysis & Optimization: Analyze master data and data sources to identify patterns, trends, and anomalies that can enhance operational efficiency and support data-driven decision-making. Data Audits: Conduct periodic audits of existing master data rules and ensure data integrity, accuracy, and consistency. MDM Best Practices: Provide guidance and expertise on MDM standards and best practices, helping implement robust data management frameworks across the organization. Project Coordination: Plan, coordinate, and execute MDM-related projects, ensuring they are delivered on time, within scope, and aligned with business objectives. Data Quality Improvement: Monitor and improve master data quality metrics, and reduce redundancy and discrepancies in systems and databases. Stakeholder Collaboration: Work closely with business stakeholders to gather data requirements and deliver a 360-degree view of enterprise data through tailored MDM solutions. Qualifications MBA, MCA, BCA, or a related degree 3 5 years of experience in Master Data Management or related domains Strong analytical and problem-solving skills Familiarity with data governance, quality metrics, and audit processes Ability to communicate effectively with technical and non-technical stakeholders Qualification : MBA, MCA, BCA, or a related degree

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: Executive Stores Manager Location: Pune Reports To: Manager Warehouse Experience: Minimum 3 years Educational Qualification: Bachelor s degree in Supply Chain Management, Logistics, Industrial Engineering, or a related field (or equivalent experience) Job Purpose We are seeking a skilled and detail-oriented Executive Stores Manager to manage and improve warehouse operations in our construction equipment production facility. This role focuses on SAP Warehouse Management (SAP-WM), collaboration with third-party logistics (3PL) partners, warehouse layout planning, inventory optimization, and accurate documentation. The ideal candidate will play a key role in streamlining processes to ensure timely material supply and efficient warehouse performance. Key Responsibilities SAP-WM Master Data Maintenance Create and maintain accurate master data in SAP-WM (material master, storage bins, warehouse configuration). Resolve discrepancies in SAP-WM data to ensure seamless warehouse and 3PL coordination. Ensure compliance with internal standards and 3PL integration requirements. Process Improvement in SAP-WM Analyze current warehouse operations to identify inefficiencies in SAP-WM workflows. Propose, implement, and document process enhancements to boost productivity and accuracy. Collaborate with IT, warehouse operations, and 3PL teams to customize SAP-WM functionalities to evolving business needs. Warehouse Layout & Optimization Design and optimize warehouse layouts to improve space utilization and material flow. Regularly assess and update layouts to accommodate new products and changing production or 3PL requirements. PFEP (Plan for Every Part) Management Develop and maintain PFEP documentation to streamline material movement and inventory control. Coordinate with production, procurement, and 3PL partners to ensure alignment with production schedules. Record Keeping & Documentation Maintain accurate and audit-ready documentation of inventory movement, SAP-WM transactions, and 3PL logistics. Ensure regulatory compliance and adherence to company policies. Warehouse Inbound/Outbound Operations Oversee inbound (receiving, put-away) and outbound (picking, shipping) operations, ensuring timely and accurate logistics in partnership with 3PL teams. Align material flow with production timelines and customer delivery expectations. Production Line Feeding Manage just-in-time (JIT) material replenishment to production lines, reducing downtime and excess inventory. Work with 3PL and production teams to ensure consistent and timely part delivery. Required Skills & Competencies Minimum 3 years of experience in warehouse operations with a strong focus on SAP-WM. Hands-on experience in master data management and process optimization in SAP. Experience collaborating with third-party logistics (3PL) teams on inbound/outbound and delivery schedules. Proficient in PFEP creation, warehouse layout planning, and production line material flow. Strong grasp of inbound/outbound logistics, inventory control, and lean warehousing principles. Excellent problem-solving, analytical, and organizational skills. Strong interpersonal and cross-functional communication skills. Attention to accuracy in documentation, compliance, and reporting. Familiarity with construction equipment or heavy machinery production is an advantage. SAP-WM certification is a plus. Qualification : Bachelors degree in Supply Chain Management, Logistics, Industrial Engineering, or a related field (or equivalent experience)

Position: Warehouse Specialist Location: Pune Reports To: Manager Warehouse Experience: Minimum 3 years Education: Bachelor s degree in Supply Chain Management, Logistics, Industrial Engineering, or related field (or equivalent experience) Job Summary We are looking for a Warehouse Specialist to join our construction equipment production warehouse team. The ideal candidate will play a key role in optimizing warehouse operations through the maintenance of SAP-Warehouse Management (SAP-WM) master data, driving continuous improvements, planning warehouse layouts, and ensuring seamless collaboration with third-party logistics (3PL) partners. This role supports production by ensuring efficient material movement and inventory control aligned with business goals. Key Responsibilities SAP-WM Master Data Management Create, update, and manage master data in SAP-WM (material master, storage bins, warehouse configuration). Resolve discrepancies and maintain data accuracy for effective coordination with internal teams and 3PL. SAP-WM Process Improvement Analyze and enhance existing SAP-WM processes to improve productivity, system performance, and 3PL integration. Document and implement optimized workflows in collaboration with IT and warehouse operations. Warehouse Layout & Space Optimization Design and revise warehouse layouts to maximize space utilization, improve material flow, and meet changing production needs. Conduct regular assessments based on inventory trends and 3PL operational requirements. PFEP (Plan for Every Part) Develop and maintain PFEP documentation to ensure efficient inventory management and line-side material delivery. Work closely with procurement, production, and logistics to align inventory plans with manufacturing schedules. Record Keeping & Documentation Maintain accurate records of inventory movement, SAP-WM transactions, and 3PL documentation. Ensure compliance with audit standards, company policies, and safety regulations. Warehouse Operations (Inbound & Outbound) Oversee receiving, put-away, picking, and dispatch operations, ensuring timely material flow. Collaborate with 3PL teams to meet customer commitments and production timelines. Production Line Material Feeding Ensure timely material replenishment to production lines based on JIT and lean principles. Coordinate closely with 3PL and production teams to prevent delays or inventory build-up. Required Skills & Competencies 3+ years of hands-on experience in warehouse operations with a focus on SAP-WM. Expertise in maintaining SAP-WM master data and leading process improvement initiatives. Strong knowledge of inbound/outbound logistics, inventory control, and production line support. Experience coordinating with third-party logistics (3PL) partners. Familiarity with PFEP generation and warehouse layout planning. Understanding of lean warehousing and JIT inventory management. Excellent record-keeping, compliance awareness, and documentation accuracy. Strong problem-solving, communication, and cross-functional collaboration skills. Experience in construction equipment or heavy machinery manufacturing is a plus. SAP-WM certification or equivalent training is preferred. Qualification : Bachelors degree in Supply Chain Management, Logistics, Industrial Engineering, or related field (or equivalent experience)

Position: Site HR and Administration Location: Pune Job Description Manage time office operations, attendance processing, manpower headcounts, and generate attendance reports. Handle contract labor recruitment, onboarding, and exit formalities efficiently. Oversee office and site administration, including petty cash management and facility upkeep. Drive employee engagement initiatives and conduct employee satisfaction surveys. Assist in payroll processing and prepare statutory reports such as wage registers, muster rolls, etc. Ensure timely submission of PF ECR, ESIC ECR, Professional Tax Challan, and annual returns. Maintain compliance with labor laws and regulations including BOCW, Maternity Benefits Act, Workmen s Compensation, Contract Labour Act, and others. Manage labor camps, guest house administration, and security arrangements. Conduct visits to factory offices and labor offices as needed. Facilitate employee training, development, and induction programs. Coordinate with the Head Office, Client Office, and internal sites for seamless HR and administrative operations. Prepare and maintain MIS, master data, and various HR reports and registers. Ensure proper implementation of HR policies at the site level. Qualifications Experience: 1 to 6 years in HR and Administration roles, preferably in construction or industrial settings. Education: BBA or MBA in Human Resources. Qualification : BBA or MBA in Human Resources

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

Lead Developer Generative AI Location: Pune Company: HeapTrace Technology Job Type: Full-Time About HeapTrace Technology At HeapTrace Technology, we are pioneers in innovation, delivering transformative IT solutions across industries. Our expertise spans software development, AI integration, cloud services, and more. We empower businesses to leverage technology for accelerated growth and lasting success. Join us to be part of a dynamic team pushing the frontiers of AI. Job Description We are seeking an experienced Lead Developer specializing in Generative AI to lead the design, development, and deployment of cutting-edge AI models and applications. You will collaborate with cross-functional teams to embed generative AI into our products and services, driving innovation and business value. Responsibilities Lead Generative AI Development: Design and implement advanced generative models such as GPT, GANs, and VAEs for content generation, data augmentation, and other applications. Project Leadership: Manage AI projects from ideation through deployment, ensuring alignment with business goals and timely delivery. Cross-Functional Collaboration: Partner with product managers, designers, and developers to integrate AI functionalities seamlessly into solutions. Research & Innovation: Keep abreast of the latest AI advancements and integrate relevant innovations into projects. Mentorship: Guide junior developers and data scientists, fostering a culture of collaboration and innovation. Deployment & Scaling: Optimize AI models for performance and scalability in production environments. Ethical AI: Ensure responsible AI practices, addressing ethical implications and regulatory compliance. Requirements Education: Bachelor s or Master s in Computer Science, AI, Machine Learning, or related field. Experience: Minimum 5 years in AI/ML development with 2+ years focused on generative models. Technical Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of machine learning algorithms and deep learning architectures. Experience with NLP models (e.g., GPT, BERT) and generative models such as GANs and VAEs. Leadership: Proven track record of leading AI projects and teams. Problem-Solving: Ability to translate business needs into technical solutions. Communication: Excellent verbal and written skills, capable of explaining complex AI concepts to non-technical audiences. Ethics: Awareness of AI ethical considerations including bias mitigation and data privacy. Nice to Have Experience deploying AI models on cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Knowledge of data engineering and working with large datasets. Publications or active contributions to the AI research community. Competitive Salary: Attractive compensation aligned with your experience. Flexible Work Environment: Remote work options and flexible schedules. Professional Growth: Access to learning opportunities, conferences, and skill development. Innovative Projects: Work on impactful AI initiatives that push technology boundaries. Collaborative Culture: Join a diverse, creative, and supportive team environment. Qualification : Bachelors or Masters in Computer Science, AI, Machine Learning, or related field.

Job Title: Manager, Cloud Operations Company: Druva Location: Pune, Maharashtra, India About Druva: Druva is a global leader in data security solutions, empowering organizations to protect and recover their data from all threats. Our Druva Data Security Cloud is a fully managed SaaS platform providing air-gapped and immutable data protection across cloud, on-premises, and edge environments. By centralizing data protection, we strengthen traditional security approaches and enable faster incident response, effective cyber remediation, and robust data governance. Trusted by nearly 7,500 customers including 75 of the Fortune 500 Druva safeguards critical business data in an increasingly connected world. Learn more at druva.com and follow us on LinkedIn, X, and Facebook. Role Overview: As Manager of Cloud Operations, you will lead the team responsible for the stability, scalability, and performance of Druva s cloud infrastructure within our large-scale SaaS environment. This hands-on leadership role demands a deep technical background in AWS cloud operations combined with strong people management skills. You will drive operational excellence through automation, cost management, and rigorous adherence to security and compliance standards, ensuring our services remain highly available 24x7. Key Responsibilities: Team Leadership & Development: Lead, mentor, and support a team of cloud engineers to deliver high-quality results. Foster a collaborative environment and remove blockers to maximize team productivity. Manage hiring, coaching, and retention to build a high-performing team. Technical Strategy & Execution: Drive automation initiatives to minimize manual tasks, boost reliability, and optimize operational workflows. Enforce compliance with security policies and industry regulations. Collaborate closely with DevOps and SRE teams to continuously enhance infrastructure and processes. Champion cost-efficiency while maintaining top-tier system performance. System Reliability & Performance: Monitor and review system health regularly; identify and address any breaches in Service Level Objectives (SLOs). Ensure cloud infrastructure is secure, scalable, and highly available through proactive incident management. Lead incident response, root cause analysis, and post-mortems to improve service resilience. Cross-Functional Collaboration: Partner with engineering teams to ensure smooth deployment of SaaS services to production. Conduct cross-team meetings to communicate deployment quality and status with Release and Host Domain (RHD) owners. Cost of Goods Sold (COGS) Management: Maintain adherence to reservation posture and optimize cloud resource usage. Detect and report COGS anomalies using automated tools and internal alerts. Analyze unit cost trends and customer behavior to identify and address cost irregularities. Security & Compliance: Conduct regular compliance validations and audits. Work with security teams to plan and execute quarterly security roadmap initiatives. Respond promptly to critical security alerts and incidents. Qualifications: 8 10 years of experience in Cloud Operations with at least 2 years in a leadership role. Strong expertise in AWS cloud infrastructure management. Proven track record in driving automation and operational improvements. Deep understanding of system reliability engineering (SRE) and incident management. Experience with cost management and security compliance in cloud environments. Excellent communication and people management skills. If you re passionate about leading cloud operations teams and building secure, reliable SaaS infrastructure at scale, we d love to hear from you!

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

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: Principal Engineer (Malware Research Scientist) Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and fidelity providing autonomous protection, rapid incident response, and assured data recovery. Trusted by over 6,000 customers including 65 of the Fortune 500, Druva protects business-critical data in today s evolving threat landscape. With a $10 million Data Resiliency Guarantee, Druva ensures robust defense against all cyber threats. Role Overview: As a Principal Engineer (Malware Research Scientist), you will lead the design and establishment of a cutting-edge malware analysis lab and manage a team of researchers focused on deep technical investigations. You will conduct hands-on research, especially on ransomware, to uncover threat behaviors and generate actionable intelligence. Your insights will directly influence product security features by providing malware artifacts and indicators of attacks (IOAs) to engineering and product teams, strengthening Druva s product security posture. Key Skills & Expertise: Proven background as an Enterprise Security Architect or equivalent. Expertise in threat modeling and risk mitigation at organizational and technical levels. Comprehensive understanding of cloud security (AWS, Azure, OCI), Linux, M365 application/API security, firewalls, IDS/IPS, sandboxing, threat intelligence, vulnerability assessment, SIEM, auditing, encryption, and data loss prevention. Relevant certifications such as OSCP, SANS, or equivalent security certifications are highly desirable. Strong communication skills with the ability to present complex technical topics clearly. Deep technical knowledge of malware behavior, cyber kill chain, incident response, forensic data collection, disaster recovery, and ransomware impact. Hands-on experience in these areas is preferred. Roles & Responsibilities: Technical Leadership & Research: Design, implement, and maintain a secure and scalable malware analysis lab. Perform in-depth analysis of malware samples with a focus on ransomware variants. Utilize reverse engineering, static, and dynamic analysis techniques to dissect malware behavior and tactics. Identify, document, and communicate Indicators of Compromise (IOCs), MITRE ATT&CK TTPs, and Indicators of Attack (IOAs). Analyze ransomware impacts on data, cloud infrastructure (AWS, Azure, GCP), and SaaS platforms (M365, Google Workspace). Develop innovative detection and mitigation strategies for advanced malware threats. Stay abreast of emerging threat trends through continuous research and threat intelligence gathering. Collaboration & Communication: Partner with Product Managers to align research with customer requirements and support development of security features. Work with marketing to translate research insights into technical content like whitepapers, blogs, and presentations. Translate technical findings into clear, actionable reports for technical and non-technical stakeholders. Collaborate with engineering and security teams to integrate threat intelligence into incident response and security operations. Present research outcomes and threat intelligence updates to internal teams and leadership. Qualifications: Bachelor s or Master s degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience). 10+ years of experience in malware analysis and threat research. Proven track record of leading and mentoring security research teams, including training interns and junior researchers. Deep expertise in malware analysis techniques such as reverse engineering, static analysis, dynamic analysis, and sandbox environments. Strong knowledge of ransomware variants and their operational impact on various infrastructures. Excellent verbal and and written communication skills. Ability to manage multiple projects, work independently, and prioritize tasks effectively. A passionate and proactive approach to staying ahead in the cybersecurity threat landscape. If you re ready to lead high-impact malware research and shape the future of cyber resilience, Druva offers a compelling opportunity to join a world-class team protecting data on a global scale. Qualification : Bachelors or Masters degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience).

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.

Senior .NET Software Engineer Pune, India Location: Pune Experience: 7+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s or Master s Degree in Computer Science, IT, or related field Job Summary: We are looking for an experienced Senior .NET Software Engineer with a strong background in C#, ASP.NET MVC, and Microsoft Azure to join our technology team in Pune. The ideal candidate will lead the design and development of scalable, secure cloud-based applications while mentoring junior developers and driving best coding practices. Key Responsibilities: Lead the design, development, and ongoing maintenance of complex .NET applications using C#, ASP.NET MVC, and Razor Pages. Architect and implement scalable, secure solutions on Microsoft Azure, including Azure App Services, Functions, and Storage. Design, develop, and maintain RESTful APIs for seamless integration with third-party systems and internal applications. Mentor junior team members, ensuring adherence to best practices, clean code, and robust design patterns. Conduct rigorous code reviews to uphold coding standards and improve code quality. Collaborate with cross-functional teams including product managers, QA, and DevOps to define requirements and deliver high-quality solutions. Optimize applications for performance, scalability, and security. Troubleshoot and resolve complex technical issues in both development and production environments. Required Technical Skills: Extensive hands-on experience with C# and the .NET framework. Expert knowledge of ASP.NET MVC, Razor Pages, and Web API development. Proven experience working with Microsoft Azure services such as Azure App Services, Azure Functions, Azure Storage, and Azure DevOps. Strong familiarity with front-end technologies including HTML, CSS, JavaScript, and frameworks like Angular or React. Advanced skills in SQL Server database design, optimization, stored procedures, and query tuning. Experience implementing CI/CD pipelines, version control using Git, and applying DevOps practices. Solid understanding of software architecture principles, design patterns, and enterprise application development. Excellent debugging, troubleshooting, and performance analysis abilities. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. Minimum 7 years of professional experience in .NET development. Azure certification is preferred but not mandatory. Opportunity to work on cutting-edge cloud-based enterprise applications. Collaborative, innovative, and growth-oriented work environment. Competitive compensation with industry-leading benefits. Continuous learning and career advancement opportunities. Apply now to take the next step in your career as a Senior .NET Software Engineer in Pune!

.NET Core + React Developer Pune Location: Pune Experience: 5 to 7 Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s or Master s Degree in Computer Science, IT, or Computer Applications Work Timings: 8:30 AM to 5:30 PM IST / 9 AM to 6 PM IST Job Summary: We are seeking an experienced .NET Core + React Developer with strong expertise in Azure cloud services and serverless architecture. The ideal candidate will be proficient in developing scalable microservices, deploying Azure functions, and building responsive front-end applications using ReactJS. This role requires excellent communication skills and availability to support critical production releases. Key Responsibilities: Develop and maintain backend services using .NET Core (version 5/6 and above). Build dynamic, responsive user interfaces with ReactJS. Deploy and manage Azure Functions including Triggers, Service Bus, Table Storage, Blob Storage, and Queues. Design and develop microservices and serverless architectures on Azure. Write clean, maintainable code and comprehensive unit tests. Collaborate effectively as both a team member and an individual contributor. Communicate clearly with clients, stakeholders, and team members. Be available during production release days to promptly address any issues raised by QA. Mandatory Skills: Strong hands-on experience with .NET Core 5/6+. Proficient in ReactJS development. Extensive experience with Azure cloud services and Azure Functions deployment. Good understanding of microservices architecture and Azure serverless solutions. Solid knowledge of HTML5, CSS3, JavaScript, and TypeScript. Experience writing unit test cases. Excellent analytical, logical thinking, and communication skills. Good to Have: Familiarity with Dialog Flow CX. Knowledge of ARM Templates for infrastructure as code. Experience working with CI/CD pipelines. Additional Information: Candidate must be available from 9 AM to 6 PM IST, with early availability at 8 AM for calls with onshore teams. On production release days, availability to address any bugs or issues promptly is essential. Remote presence is acceptable but responsiveness is mandatory. Laptop with minimum specs (i7 2.4 GHz, 16 GB RAM, 500 GB HDD/512 GB SSD, Windows 10) should be provided by the agency or arranged by the candidate. Apply now to join a fast-growing team and work on exciting cloud-native applications using .NET Core, React, and Azure in Pune! Qualification : Bachelors or Masters Degree in Computer Science, IT, or Computer Applications

Informatica Senior Developer (IDMC) Pune Location: Pune Experience: 5+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s / Master s Degree in Computer Science, IT, or a related field Job Summary: We are hiring a skilled and experienced Informatica Senior Developer specializing in IDMC (Informatica Intelligent Data Management Cloud) for our Pune location. The role involves leading the design and development of scalable MDM solutions, ensuring data governance, and optimizing cloud data integrations across enterprise systems. If you're looking to lead next-gen data initiatives using cloud-native technologies, this is the role for you. Key Responsibilities: MDM Architecture & Solution Design: Design scalable and secure Informatica MDM solutions on IDMC. Define enterprise-wide data governance, data modeling, and metadata frameworks. IDMC Implementation Leadership: Lead end-to-end MDM project lifecycles including development, testing, deployment, and optimization. Ensure high-quality and business-aligned IDMC solutions. Cloud Data Integration: Integrate MDM with cloud and enterprise systems using Cloud Data Integration and Cloud Application Integration. Tune data flows for maximum performance and availability. Data Governance & Compliance: Implement data security, compliance (GDPR, CCPA), and quality rules using IDMC features. Ensure consistent and accurate data across business domains. Leadership & Mentorship: Mentor junior developers and guide them through complex workflows in IDMC. Establish best practices and coding standards within the team. Cross-Team Collaboration: Partner with business analysts, data architects, and stakeholders to align MDM initiatives with enterprise goals. Troubleshooting & Continuous Improvement: Lead resolution of technical issues in production and development environments. Continuously optimize MDM workflows for better performance and efficiency. Documentation & Reporting: Maintain clear and comprehensive documentation on architecture, configurations, and workflow processes. Provide regular project status updates to leadership and stakeholders. Key Requirements: Experience & Expertise: 5+ years of hands-on experience with Informatica MDM and IDMC. Proven experience designing and deploying cloud-native MDM solutions. In-depth knowledge of Cloud Data Integration, Cloud Application Integration, and Cloud Data Quality. Technical Skills: Strong command over SQL, Java, RESTful APIs, and web services. Experience with cloud-native data architecture, governance, and data security on IDMC. Familiarity with Azure, AWS, or Google Cloud is a plus. Work in a leading-edge cloud data engineering team based in Pune. Shape the data landscape of global enterprises through MDM excellence. Enjoy a collaborative culture, flexible working environment, and top-tier compensation. Apply Now to join as an Informatica Senior Developer (IDMC) and lead transformative data initiatives from our Pune office! Qualification : Bachelors / Masters Degree in Computer Science, IT, or a related field

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.