1389 Modeler Jobs - Page 45

Title : Date Modeler Experience : 4 + years Website :- www.johnsoncontrols.com Johnson Controls is a global diversified technology and multi-industrial leader serving a wide range of customers in more than 150 countries. Our commitment to sustainability dates to our roots in 1885, with the invention of the first electric room thermostat. We are committed to helping our customers win and creating greater value for all our stakeholders through strategic focus on our buildings and energy growth platforms. Johnson Controls International plc is a multinational conglomerate headquartered in Cork, Ireland, that produces automotive parts such as batteries, and electronics and HVAC equipment for buildings. Johnson Controls makes its largest ever acquisition: York International heating, ventilating, air-conditioning and refrigeration products and services, with worldwide presence. It creates intelligent buildings, efficient energy solutions, integrated infrastructure and next generation transportation systems that work seamlessly together to deliver on the promise of smart cities and communities. At its core, that promise is about delivering innovation that make people’s lives – and the world – better. Location – PAN, India What You Will Do The future is being built today, and Johnson Controls is making that future more productive, secure, and sustainable. We are harnessing the power of cloud, data analytics, the Internet of Things, and user design thinking to deliver on the promise of intelligent buildings and smart cities that connect communities in ways that make people’s lives – and the world – better & safer. Data & Analytics COE is a diverse team of technology enthusiast enabling our global business. JCI has embarked on a Data strategy that focuses on establishing strong technology COE, enterprise data management & cloud-based business solutions. Data Modeler (business data models, data privacy, and enterprise data management) is an integral part of Data Architecture team. This role will be based out of India, reporting into Lead technical Architect. Assess organization's potential data sources (internal & external), develop blueprint to integrate, centralize, protect, and maintain data, thus enabling data models for the enterprise with ability to slice and drill information per Region / BU / LoB Work with leadership and stakeholders to define the overall vision, mission, and strategy for business data models that scales up for the enterprise Mentor & guide technical project teams based globally on ERWIN & Azure platform components Technical leadership role to lead and manage analytics projects to ensure all deliverables meet JCI standards This role requires the person to be independently performing his/her job duties without much supervision and coaching How You Will Do It Work collaboratively with all levels of stakeholders to architect, implement and test Big Data based analytical solution from disparate sources Demonstrate an understanding of concepts, best practices, and functions to implement a Big Data solution in an enterprise environment. Establish, maintain, and adhere to Enterprise Data Standards & Policies. Create and document Logical & Physical Data Models using best practices to ensure high data quality and reduced redundancy. Recommend solutions to improve existing functional data models. Understand and translate business needs into scalable data models supporting enterprise views Optimize and update logical and physical data models to support new and existing projects. Maintain conceptual, logical, and physical data models along with corresponding metadata. Develop best practices for standard naming conventions and coding practices to ensure consistency of data models. Ensure reusability of data models for future business requirements Perform reverse engineering of physical data models from databases and SQL scripts. Connect with the functional and technical leads when prioritizing the technology initiatives to support analytics What We Look For Bachelor of Science degree and/or Master’s in software engineering / Computer Science or an equivalent discipline 5+ yrs. of hands-on experience using various development methodologies to deliver robust PaaS and DaaS based analytics solutions on Azure data platform Proven expertise of ERWIN, Azure data platform, CI/CD Strong knowledge of using Snowflake, Hadoop, MPP Data platform, Azure Data Factory, Azure HDI, and Open-source technologies Superior documentation and communications skills Proven ability to lead & coach diverse teams of data modelers located globally Technology Requirement ERWIN/Other Data Modeling Tools: develop, enrich, and maintain logical & physical data models Cloud Database experience in Snowflake and/or HIVE DevOps: GitHub, Azure DevOps ETL/ELT Framework design and implementation Essential Skills Strong Leadership, organizational, and prioritization skills Excellent written and verbal skills to communicate technical solutions to business teams Demonstrated experience leading and influencing individuals and teams without formal organizational control Understanding trends, new concepts, industry standards and new technologies in Data and Analytics space Ability to work with global distributed teams Show more Show less

Company Description Seosaph-infotech is a rapidly growing company in customized software development, providing advanced technology solutions and trusted services across multiple business verticals. In Just Two Years, Seosaph-infotech Has Delivered Exceptional Solutions To Industries Such As Finance, Healthcare, And E-commerce, Establishing Itself As a Reliable IT Partner For Businesses Seeking To Enhance Their Technological Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies. Governs data design/modelling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Drive collaborative reviews of data model design, code, data, security features to drive data product development. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model. Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping. Partner with the data stewards team for data discovery and action by business customers and stakeholders. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Assist with data planning, sourcing, collection, profiling, and transformation. Support data lineage and mapping of source system data to canonical data stores. Create Source to Target Mappings (STTM) for ETL and BI needed : Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / domains ). Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Location : Remote. (ref:hirist.tech) Show more Show less

About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main Responsibilities Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D) Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment Understand data governance policies, standards and procedures for R&D data Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources About you Experience: 5+ years of experience in business data management, information architecture, technology or other related field Functional skills: Demonstrated ability to understand end-to-end data use and business needs Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling best practices and naming conventions Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Technical Skills Experience with data management practices and technologies (e.g., Collibra, Informatica etc) Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required Experience in big data infrastructures (E.g., Hadoop, NOSQL etc) Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling Experience with hierarchical data models from conceptualization to database optimization Education: Bachelor’s in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred Languages: English Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less

Company Description OptimHire is a global platform that enables professionals, recruiters, and companies to work collaboratively regardless of time zones and geographical locations. Our aim is to revolutionize the way people work by fostering 24/7 collaboration and flexibility. Role Description This is a full-time on-site role for a Tekla Modeler & PEB Detailer located in Madhya Pradesh, India. The role involves creating Tekla models and detailing Pre-Engineered Buildings (PEB) structures. Responsibilities include collaborating with the design team, creating accurate models and drawings, and ensuring structural accuracy and integrity. Qualifications Proficiency in Tekla modeling and PEB detailing Experience in structural steel detailing and analysis Knowledge of relevant software such as AutoCAD and Revit Ability to interpret engineering drawings and specifications Strong attention to detail and problem-solving skills Excellent communication and teamwork skills Experience in the construction or engineering industry is a plus Diploma or degree in Civil Engineering or related field Show more Show less

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary: The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main responsibilities: Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D) Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment Understand data governance policies, standards and procedures for R&D data Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources 3. About you Experience : 5+ years of experience in business data management, information architecture, technology or other related field Functional skills: Demonstrated ability to understand end-to-end data use and business needs Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling best practices and naming conventions Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Technical Skills Experience with data management practices and technologies (e.g., Collibra, Informatica etc) Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required Experience in big data infrastructures (E.g., Hadoop, NOSQL etc) Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling Experience with hierarchical data models from conceptualization to database optimization Education : Bachelor’s in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred Languages : English Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

We are looking for a Salesforce Marketing Cloud Architect to lead high-priority platform implementation projects and ongoing platform support across marketing automation, journey orchestration, CDP, loyalty and other management platforms. This position sits within our Salesforce Competency Development Center, but will regularly interface with a large, cross-functional team of developers, solution architects, marketing strategists, and digital marketing specialists to help bring digital customer experiences to life. The ideal candidate is dynamic and flexible, with a strong affinity for data and process. If you are energized by representing an award-winning, stable, growing company in a fast-moving digital transformation space, we’d like to meet you! Role And Responsibilities Lead discovery efforts to gather necessary information from clients and internal team members to appropriately understand business Develop deep knowledge of each client's business and available data to ensure platform solutioning is on par with client's marketing objectives Translate business needs into detailed technical requirements for platform configuration, data schemas and system integrations to deliver against business needs Lead platform configuration and development of digital marketing campaigns across channels (email, SMS, push, in-app, etc.) Oversee development, testing and deployment of platform work completed by developers Provide support to development teams working on platform integrations Create Architecture and Technical specifications documents Serve as day-to-day technical platform SME to internal and client teams Work closely with project management team to manage workflow and deadlines across multiple, simultaneous platform-related projects and change controls Provide support to senior team members throughout project estimation and Marketing Technology platform discovery / road mapping engagements, as needed Provide support to internal execution services team for ongoing platform and schema optimizations, as needed Preferred Qualifications 5+ years of experience with Salesforce Marketing Cloud, with demonstrated experience leading 3+ platform implementation projects Familiarity with commonly requested Salesforce Marketing Cloud integrations and associated technologies (CMS, DAM, CDP, Web Analytics, Data Visualization tools, client databases, etc) Deep understanding of Salesforce Marketing Cloud, including Email Studio, Mobile Studio, Interaction Studio, and Journey Builder; Salesforce CDP and Loyalty knowledge a plus Experienced data modeler in relational database systems Experienced writing SQL queries for Select/Insert/Update/Delete, including knowledge of multi-table joins and outer joins Demonstrated experience establishing and maintaining data structures, data extensions and automations within Salesforce Marketing Cloud Proficiency with AmpScript, JavaScript, JSON and XML Experience or familiarity with HTML, MJML, CSS and responsive email coding a plus Agency experience preferred, with 2+ years experience in a client-facing role and knowledge of overall agency structures and agile project management methodologies Solid understanding of digital marketing execution processes, audience segmentation methods, industry best practices, communication legal compliance, and downstream campaign analysis Excellent oral and written communication skills Comfortable working with all levels of an organization and capable of communicating as effectively with technical staff as with business and management Familiarity with a variety of marketing automation platforms and marketing cloud solutions a plus (Adobe Campaign, Adobe Journey Optimizer, Salesforce Marketing Cloud, Braze, Marketo or similar) Excellent communication (verbal & written) - Articulates clearly, concisely and with context at all times High confidence and assertiveness skills - Has a cordial work relationship with peers and manager, speaks his/her mind even during challenging situations, proactively seeks help /assistance when in need Takes feedback positively and works on it seriously, is not afraid of making mistakes as part of learning, Open to working across projects & technologies. Good analytical & logical skills - Understands requirements quickly and accurately, proactively thinks through the solution and seeks clarification before coding. Explores the root causes of problems before taking action, quickly learns the latest developments in technology and is able to apply it to the projects Good Interpersonal Skills - Builds good working relationship with team members. Show more Show less

Job description Educational Qualifications: Any degree Experience: Fresher Skills Certification in Revit Architect or Revit MEP Contact Number: 7418444090 E-mail: vinothprasanna.d@dsmsoft.com Job Types: Full-time, Permanent Pay: ₹14,000.00 - ₹15,000.00 per month Benefits: Provident Fund Schedule: Rotational shift Supplemental Pay: Yearly bonus Work Location: In person Job Types: Full-time, Permanent Pay: ₹14,000.00 - ₹15,000.00 per month Benefits: Provident Fund Schedule: Rotational shift Supplemental Pay: Performance bonus Work Location: In person

Build the 3D BIM models of MEP services using Autodesk Revit. Preparation of design drawings, shop drawings, as-built drawings, and schematic diagrams. Preparation of schedules and sheet lists. Prepares BOQ schedules from BIM modeling Developing and applying Revit Templates. Collaborate and coordinate with other disciplines to mitigate design challenges. Adhere to the schedule and follow BIM content standards and development procedures. Proven experience as a BIM Modeler or similar role in the construction or architectural industry. Proficiency in BIM software such as Revit, Navisworks, and AutoCAD. Strong understanding of BIM standards, protocols, and best practices. Excellent attention to detail and problem-solving skills. E ective communication and collaboration skills. Ability to manage multiple projects and deadlines simultaneously Job Type: Full-time Pay: ₹30,000.00 - ₹45,000.00 per month Schedule: Rotational shift Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: MEP: 3 years (Required) Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Designation – Manager Technical Role – Tableau Developer Tableau-Prep Modeler(Developer) Tableau Admin Requirement – 1 We are seeking a talented Tableau Developer & Admin cum Tableau Prep-modeler having extensive Managerial experience on handling considerable teams and delivering Projects & Dashboards on a timely manner with a strong background in reporting and data visualization to join our team. The ideal candidate will have at least 3-4 years of relevant Tableau experience and 8-9 years of total IT experience in Visualization and a proven track record in developing and managing Tableau dashboards, Prep Flows, Tableau Admin Activities. This role requires a blend of technical expertise, analytical skills, and effective communication abilities to deliver high-quality reporting and platform upgradation solutions. Key Responsibilities  Dashboard Development Design, develop, and maintain Tableau dashboards to support business intelligence and reporting needs.  Data Analysis Analyze complex data sets to identify trends, patterns, and insights that can be translated into actionable reports.  Data Integration Ensure seamless data integration between various data sources and Tableau utilizing appropriate data connectors and ETL processes.  Requirements Analysis Work closely with Stakeholders & Business Analysts to gather and analyze business requirements, Translating the requirements into effective reporting solutions.  Performance Optimization Optimize Tableau dashboards for performance and usability, ensuring quick and efficient access to critical data.  Data Visualization Create intuitive and visually appealing data visualizations that effectively communicate insights to stakeholders. Create logically charts in dashboards which are distinctive withing the User Stories Determine and suggest possible dashboards, views to Business Analysts and Stakeholders wherever any suggestion is required.  Data Preparation (Tableau Prep) Create Flows to build data sources from different sources, published data sources with periodic refresh enabled.  Admin Activities Create Users / Groups, Merge with AD users Using Python scripts to automate Group-User sync in case of 3P User Data provider, Provide and maintain accesses of different dashboards, projects properly . Implement RLS wherever data governance is required .  Training And Support Provide training and support to end-users, ensuring they can effectively utilize Tableau dashboards and reports. Support UAT and SIT wherever required on the Client-site.  Continuous Improvement: Identify opportunities for improving reporting processes and tools, staying updated with the latest industry trends and best practices. Qualifications  Educational Background: Bachelors degree in Information Technology, Computer Science, Business Administration, or a related field.  Relevant Experience: Minimum of 3-4 years of experience in Tableau development and reporting.  Total Experience : Minimum of 8-9 years of experience in IT and Data Visualization.  Technical Skills: Proficiency in Tableau and a strong understanding of data visualization best practices.  Analytical Skills: Excellent analytical and problem-solving skills with the ability to interpret complex data sets and deliver actionable insights.  Communication: Strong verbal and written communication skills, with the ability to effectively interact with stakeholders at all levels.  Project Management: Experience in managing multiple projects and priorities simultaneously, delivering high-quality results on time.  Certifications: Tableau certification is highly desirable and recommended . Key Competencies  Attention to Detail: High degree of accuracy and attention to detail in all aspects of work.  Customer Focus: Ability to understand and meet the needs of internal and external customers.  Team Collaboration: Strong team player with the ability to work collaboratively in a multicultural environment.  Team Anchoring : Strong Team anchoring ability to drive teams with significant team- members  Adaptability: Flexibility to adapt to changing business requirements and learn new technologies quickly.  Location : PAN-India, Ready for travel to Client location if required Mandatory skill sets- Tableau Developer, Tableau-Prep Modeler, Tableau Admin Year Of Experience Required-1 Preferred skill sets- Tableau Developer, Tableau-Prep Modeler, Tableau Admin Qualifications-BE, B.Tech, M.Tech, MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Tableau (Software) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

We are looking for a Data Modeller / Data Modeler to lead data architecture efforts across enterprise domains such as Sales, Procurement, Finance, Logistics, R&D, and Advanced Planning Systems (SAP/Oracle). The role involves designing scalable and reusable data models, building data lake foundations, and collaborating with cross-functional teams to deliver robust end-to-end data solutions. Key Responsibilities Work with business/product teams to understand processes and translate into technical specifications. Design logical and physical data models based on Medallion Architecture, EDW, or Kimball methodologies. Source the correct grain of data from true source systems or existing DWHs. Create and manage reusable intermediary data models and physical views for reporting/consumption. Understand and implement Data Governance, Data Quality, and Data Observability practices. Develop business process maps, user journey maps, and data flow/integration diagrams. Design integration workflows using APIs, FTP/SFTP, web services, etc. Support large-scale implementation programs involving multiple projects over extended periods. Coordinate with data engineers, product owners, data modelers, governance teams, and project stakeholders. Technical Skills Minimum 5+ years in data-focused projects (migration, upgradation, lakehouse/DWH builds). Strong expertise in Data Modelling – Logical, Physical, Dimensional, and Vault modeling. Experience with enterprise data domains: Sales, Finance, Procurement, Supply Chain, Logistics, R&D. Tools: Erwin or similar data modeling tools. Deep understanding of OLTP and OLAP systems. Familiar with Kimball methodology, Medallion architecture, and modern Data Lakehouse patterns. Knowledge of Bronze, Silver, and Gold layer architecture in cloud platforms. Ability to read existing data dictionaries, table structures, and normalize data tables effectively. Cloud, DevOps & Integration Familiarity with cloud data platforms (AWS, Azure, GCP) and DevOps/DataOps best practices. Experience with Agile methodologies and participation in Scrum ceremonies. Understand end-to-end integration needs and methods (API, FTP, SFTP, web services). Preferred Experience Background in Retail, CPG, or Supply Chain domains is a strong plus. Experience with data governance frameworks, quality tools, and metadata management platforms. Skills: ftp/sftp,physical data models,data modelling,devops,data modeler,data observability,physical data modeling,cloud platforms,apis,erwin,data lakehouse,vault modeling,dimensional modeling,web services,data modeling,data governance,architecture,data quality,retail,cpg,kimball methodology,medallion architecture,olap,supply chain,logical data models,logical data modeling,integration workflows,online transaction processing (oltp) Show more Show less

We are looking for a Data Modeller / Data Modeler to lead data architecture efforts across enterprise domains such as Sales, Procurement, Finance, Logistics, R&D, and Advanced Planning Systems (SAP/Oracle). The role involves designing scalable and reusable data models, building data lake foundations, and collaborating with cross-functional teams to deliver robust end-to-end data solutions. Key Responsibilities Work with business/product teams to understand processes and translate into technical specifications. Design logical and physical data models based on Medallion Architecture, EDW, or Kimball methodologies. Source the correct grain of data from true source systems or existing DWHs. Create and manage reusable intermediary data models and physical views for reporting/consumption. Understand and implement Data Governance, Data Quality, and Data Observability practices. Develop business process maps, user journey maps, and data flow/integration diagrams. Design integration workflows using APIs, FTP/SFTP, web services, etc. Support large-scale implementation programs involving multiple projects over extended periods. Coordinate with data engineers, product owners, data modelers, governance teams, and project stakeholders. Technical Skills Minimum 5+ years in data-focused projects (migration, upgradation, lakehouse/DWH builds). Strong expertise in Data Modelling – Logical, Physical, Dimensional, and Vault modeling. Experience with enterprise data domains: Sales, Finance, Procurement, Supply Chain, Logistics, R&D. Tools: Erwin or similar data modeling tools. Deep understanding of OLTP and OLAP systems. Familiar with Kimball methodology, Medallion architecture, and modern Data Lakehouse patterns. Knowledge of Bronze, Silver, and Gold layer architecture in cloud platforms. Ability to read existing data dictionaries, table structures, and normalize data tables effectively. Cloud, DevOps & Integration Familiarity with cloud data platforms (AWS, Azure, GCP) and DevOps/DataOps best practices. Experience with Agile methodologies and participation in Scrum ceremonies. Understand end-to-end integration needs and methods (API, FTP, SFTP, web services). Preferred Experience Background in Retail, CPG, or Supply Chain domains is a strong plus. Experience with data governance frameworks, quality tools, and metadata management platforms. Skills: ftp/sftp,physical data models,data modelling,devops,data modeler,data observability,physical data modeling,cloud platforms,apis,erwin,data lakehouse,vault modeling,dimensional modeling,web services,data modeling,data governance,architecture,data quality,retail,cpg,kimball methodology,medallion architecture,olap,supply chain,logical data models,logical data modeling,integration workflows,online transaction processing (oltp) Show more Show less

We are looking for a Data Modeller / Data Modeler to lead data architecture efforts across enterprise domains such as Sales, Procurement, Finance, Logistics, R&D, and Advanced Planning Systems (SAP/Oracle). The role involves designing scalable and reusable data models, building data lake foundations, and collaborating with cross-functional teams to deliver robust end-to-end data solutions. Key Responsibilities Work with business/product teams to understand processes and translate into technical specifications. Design logical and physical data models based on Medallion Architecture, EDW, or Kimball methodologies. Source the correct grain of data from true source systems or existing DWHs. Create and manage reusable intermediary data models and physical views for reporting/consumption. Understand and implement Data Governance, Data Quality, and Data Observability practices. Develop business process maps, user journey maps, and data flow/integration diagrams. Design integration workflows using APIs, FTP/SFTP, web services, etc. Support large-scale implementation programs involving multiple projects over extended periods. Coordinate with data engineers, product owners, data modelers, governance teams, and project stakeholders. Technical Skills Minimum 5+ years in data-focused projects (migration, upgradation, lakehouse/DWH builds). Strong expertise in Data Modelling – Logical, Physical, Dimensional, and Vault modeling. Experience with enterprise data domains: Sales, Finance, Procurement, Supply Chain, Logistics, R&D. Tools: Erwin or similar data modeling tools. Deep understanding of OLTP and OLAP systems. Familiar with Kimball methodology, Medallion architecture, and modern Data Lakehouse patterns. Knowledge of Bronze, Silver, and Gold layer architecture in cloud platforms. Ability to read existing data dictionaries, table structures, and normalize data tables effectively. Cloud, DevOps & Integration Familiarity with cloud data platforms (AWS, Azure, GCP) and DevOps/DataOps best practices. Experience with Agile methodologies and participation in Scrum ceremonies. Understand end-to-end integration needs and methods (API, FTP, SFTP, web services). Preferred Experience Background in Retail, CPG, or Supply Chain domains is a strong plus. Experience with data governance frameworks, quality tools, and metadata management platforms. Skills: ftp/sftp,physical data models,data modelling,devops,data modeler,data observability,physical data modeling,cloud platforms,apis,erwin,data lakehouse,vault modeling,dimensional modeling,web services,data modeling,data governance,architecture,data quality,retail,cpg,kimball methodology,medallion architecture,olap,supply chain,logical data models,logical data modeling,integration workflows,online transaction processing (oltp) Show more Show less

We are looking for a Data Modeller / Data Modeler to lead data architecture efforts across enterprise domains such as Sales, Procurement, Finance, Logistics, R&D, and Advanced Planning Systems (SAP/Oracle). The role involves designing scalable and reusable data models, building data lake foundations, and collaborating with cross-functional teams to deliver robust end-to-end data solutions. Key Responsibilities Work with business/product teams to understand processes and translate into technical specifications. Design logical and physical data models based on Medallion Architecture, EDW, or Kimball methodologies. Source the correct grain of data from true source systems or existing DWHs. Create and manage reusable intermediary data models and physical views for reporting/consumption. Understand and implement Data Governance, Data Quality, and Data Observability practices. Develop business process maps, user journey maps, and data flow/integration diagrams. Design integration workflows using APIs, FTP/SFTP, web services, etc. Support large-scale implementation programs involving multiple projects over extended periods. Coordinate with data engineers, product owners, data modelers, governance teams, and project stakeholders. Technical Skills Minimum 5+ years in data-focused projects (migration, upgradation, lakehouse/DWH builds). Strong expertise in Data Modelling – Logical, Physical, Dimensional, and Vault modeling. Experience with enterprise data domains: Sales, Finance, Procurement, Supply Chain, Logistics, R&D. Tools: Erwin or similar data modeling tools. Deep understanding of OLTP and OLAP systems. Familiar with Kimball methodology, Medallion architecture, and modern Data Lakehouse patterns. Knowledge of Bronze, Silver, and Gold layer architecture in cloud platforms. Ability to read existing data dictionaries, table structures, and normalize data tables effectively. Cloud, DevOps & Integration Familiarity with cloud data platforms (AWS, Azure, GCP) and DevOps/DataOps best practices. Experience with Agile methodologies and participation in Scrum ceremonies. Understand end-to-end integration needs and methods (API, FTP, SFTP, web services). Preferred Experience Background in Retail, CPG, or Supply Chain domains is a strong plus. Experience with data governance frameworks, quality tools, and metadata management platforms. Skills: ftp/sftp,physical data models,data modelling,devops,data modeler,data observability,physical data modeling,cloud platforms,apis,erwin,data lakehouse,vault modeling,dimensional modeling,web services,data modeling,data governance,architecture,data quality,retail,cpg,kimball methodology,medallion architecture,olap,supply chain,logical data models,logical data modeling,integration workflows,online transaction processing (oltp) Show more Show less

Job Title: 3D Modeler Company: Mayka Blessing Events Pvt. Ltd. Location: Baner, Pune Job Type: Full-Time Experience: 1–3 years Mayka Blessing Events Pvt. Ltd. is a leading event management company known for delivering exceptional experiences through creativity and precision. We are looking for a skilled 3D Visualizer to join our design team and bring event concepts to life through stunning mockups and visual presentations. Key Responsibilities: Design high-quality 3D mockups for weddings, corporate events, exhibitions, and themed functions. Visualize stage setups, entrance gates, lounges, and decor elements based on client briefs. Collaborate with the production and creative teams to conceptualize and render event layouts. Prepare and present client-ready visuals and walkthroughs. Work under tight deadlines to deliver visuals that align with brand aesthetics and event themes. Make real-time changes based on team or client feedback. Required Skills: Proficiency in SketchUp, 3ds Max, Blender , or similar 3D modeling tools. Rendering skills with V-Ray, Lumion, or Enscape . Working knowledge of Photoshop, Illustrator , and other Adobe tools for post-editing. Understanding of event layout, lighting, decor elements, and theme-based aesthetics. Ability to transform rough concepts into detailed 3D representations. Strong time management, creativity, and communication skills. Portfolio Requirement: Please include a link or upload samples of your 3D event mockups. Applications without portfolios will not be considered. Show more Show less

Hiring for Senior BIM Modeler-MEP Company Name: Innolink Digital Services Location: Madurai Experience Required: 10+ years experience in MEP services Skills : Revit , AutoCAD and Navisworks Relevant Experience in Landscape and Swimming pool projects is an added advantage. Notice Period: Immediate Joiners or 30 days preferred Qualifications and Skills Proficiency in Revit is required as it is pivotal for BIM modeling projects and ensures accurate and efficient design outcomes. Skilled in AutoCAD for creating precise design components and integrating them into comprehensive project models. Experience with Family Creation is mandatory for developing and customizing design elements tailored to specific project needs. Navisworks expertise is essential for model review, coordination, and clash detection to optimize project delivery. Project Coordination skills are necessary to facilitate seamless workflow and ensure effective collaboration among project stakeholders. Familiarity with landscape modeling to incorporate environmental aspects into the design process and deliver sustainable solutions. Experience in conducting coordination meetings to align multidisciplinary teams, address project changes, and resolve conflicts. Strong communication abilities to articulate design intentions clearly and work effectively within a diverse team environment. Roles and Responsibilities Create and manage accurate MEP BIM models using Revit and AutoCAD, ensuring alignment with project specifications and guidelines. Develop and customize Revit families to enhance model accuracy and tailor designs to specific project requirements. Coordinate with other design and engineering teams to integrate MEP models into comprehensive project designs. Conduct regular model reviews and clash detection sessions using Navisworks to maintain project quality and minimize conflicts. Participate in and lead project coordination meetings to align design efforts and address any issues promptly. Provide technical support and guidance to junior BIM modelers and facilitate skill development through mentoring. Oversee the preparation and delivery of high-quality construction drawings, ensuring compliance with industry standards. Collaborate closely with project managers to ensure project timelines and budgets are adhered to without compromising quality. Show more Show less

Build the 3D BIM models of MEP services using Autodesk Revit. Preparation of design drawings, shop drawings, as-built drawings, and schematic diagrams. Preparation of schedules and sheet lists. Prepares BOQ schedules from BIM modeling Developing and applying Revit Templates. Collaborate and coordinate with other disciplines to mitigate design challenges. Adhere to the schedule and follow BIM content standards and development procedures. Proven experience as a BIM Modeler or similar role in the construction or architectural industry. Proficiency in BIM software such as Revit, Navisworks, and AutoCAD. Strong understanding of BIM standards, protocols, and best practices. Excellent attention to detail and problem-solving skills. E ective communication and collaboration skills. Ability to manage multiple projects and deadlines simultaneously Job Type: Full-time Pay: ₹30,000.00 - ₹45,000.00 per month Schedule: Rotational shift Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: MEP: 3 years (Required) Work Location: In person

Key Responsibilities Teamcenter Customization & Development : Design, develop, and implement custom solutions and enhancements within the Teamcenter environment using C# and/or C++. API Utilization : Utilize Teamcenter APIs (ITK, SOA) extensively for developing integrations, custom functionalities, and automation scripts. Data Model & BMIDE : Work with the Teamcenter data model, performing extensions and configurations using BMIDE (Business Modeler Integrated Development Environment). This includes creating business rules and configuring workflows. Module Configuration : Configure and customize key Teamcenter modules, with a strong focus on Structure Manager and Classification structures. EBOM Management : Apply good knowledge of EBOM (Engineering Bill of Materials) concepts and implement solutions for EBOM configuration and customization within Teamcenter. Troubleshooting & Support : Diagnose and resolve technical issues related to Teamcenter functionalities, customizations, and integrations. Collaboration : Work closely with business analysts, solution architects, and other developers to translate functional requirements into robust technical designs and solutions. Documentation : Create and maintain technical documentation for developed solutions, configurations, and processes. Required Skills & Qualifications Experience : Minimum 3+ years of hands-on experience in Teamcenter development and customization. Programming Languages : Proficiency in C# and/or C++. Teamcenter Customization : Extensive hands-on experience in customizing Teamcenter using its various APIs, specifically ITK and SOA. Teamcenter Data Model : Deep understanding of the Teamcenter data model and its underlying architecture. BMIDE : Proven ability to use BMIDE (Business Modeler Integrated Development Environment) for data model extensions, business rule creation, and workflow configuration. Structure Manager : Solid understanding and practical experience in working with the Structure Manager module within Teamcenter. Classification : Experience in implementing and managing classification structures within Teamcenter. EBOM Knowledge : Good knowledge of EBOM (Engineering Bill of Materials) concepts and experience in configuring and customizing EBOM management within Teamcenter. Problem-Solving : Strong analytical and problem-solving skills. Communication : Good verbal and written communication skills. Education : Bachelor's degree in Engineering (Computer Science, Mechanical, IT, or related fields) is preferred. (ref:hirist.tech) Show more Show less

We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software Show more Show less

We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software Show more Show less

We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software Show more Show less

We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software Show more Show less

We are seeking an experienced Senior Data Modeler to support and enhance our enterprise data architecture. You will play a pivotal role in designing and maintaining robust, scalable data models while driving data strategy initiatives and collaborating across teams to meet business requirements. Responsibilities Assist in establishing, maintaining, and evolving information architecture best practices, guidelines, principles, and standards aligned with the data strategy team's vision Drive data modeling initiatives, and support the architecture, design, and development of overall data architecture Develop and maintain conceptual, logical, and physical data models, ensuring compliance with industry standards and following Novartis guidelines Capture and maintain metadata using the enterprise data catalog solution Review and evaluate proposed data models in packaged or commercial applications before purchase Mentor and guide individuals on data strategy directives, principles, and standards within the data community Ensure adherence to Security and Compliance policies and procedures within the scope of enterprise information architecture Collaborate with business partners, IT teams, architecture teams, and contractors to design and prepare data models that meet business requirements Define and promote compliance with best practices, including participation in data design reviews throughout the development lifecycle Requirements A university degree equivalent to BS/MS level in Computer or Life Sciences 5+ years of experience as a Business Analyst with expertise in business process reengineering, user requirements gathering, workshop facilitation techniques, and change management Proficiency in Data Analytics and SQL Expertise in Data Modeling with the ability to create Erwin diagrams Knowledge of DWBI (Data Warehousing and Business Intelligence) Excellent verbal and written communication skills in English Nice to have 2+ years of experience in the pharmaceutical industry, preferably within the commercial IT function Familiarity with Agile methodologies and team coordination Understanding of Collibra software Show more Show less

Stantec is a global leader in sustainable engineering, architecture, and environmental consulting. The diverse perspectives of our partners and interested parties drive us to think beyond what’s previously been done on critical issues like climate change, digital transformation, and future-proofing our cities and infrastructure. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what’s possible. The Stantec community unites approximately 32,000 employees working in over 450 locations across 6 continents. Job Description: Stantec is a leader in global infrastructure, water resource development, Buildings, Mining, Oil and Gas providing engineering design and remediation, construction, procurement, program management, and technology solutions for the environmental, water, wastewater, energy and power markets of the Americas, Europe, Middle East, Asia Pacific region. Stantec is looking for Mechanical Engineer who can contribute to the ongoing growth of Stantec ResourceNet India Private Ltd by providing technical expertise in the area of all mechanical plant, as part of a multi-disciplinary team delivering conceptual design, outline design, detailed design and construction support for Industrial Water (Power, Oil and Gas, Mining and Manufacturing, etc.) treatment and pumping station projects across Stantec offices in North America. The role promises delivery of leading-edge programs and projects. The role also requires supporting Project Managers by providing technical expertise to ensure that project outcomes in terms of profit, schedule, technical and quality standards, meet both the client and Stantec expectations. Person Specifications: Bachelor/ master’s degree in mechanical engineering 5 to 10 years of experience in water, waste water treatment, industrial water treatment and pumping station projects. Piping and equipment specification development Equipment data sheet development Familiar with ASME and API codes Generate complex equipment (like Heat Exchangers) system specifications Experience in heavy industrial (Power, Oil and Gas, Mining and Manufacturing) and utility capital projects Generate equipment General Arrangement layouts Knowledge of Pipe stress analysis Conduct Pump hydraulics modeling Rotating equipment sizing Generate plant layout design Knowledge of 2D and 3D drafting software such as AutoCAD, REVIT and Open Plant Modeler preferred Have excellent data manipulation abilities (MS Excel/MS Access database type packages) Technical report writing skills Competent level of baseline skills, i.e. professional and confident with the essential, basic business and communication skills that are required for career growth in all positions Rigorous attention to detail, able to understand and adopt workflows and commitment to personal professional development Flexible attitude to accepting different work assignments and pro-active attitude to execution / delivery Key Accountabilities: Mechanical equipment sizing calculations and selection Production of technical mechanical specifications and deliverables Production of mechanical schedules such (Valve, Penstocks, Equipment and Lifting) Optioneering Mechanical Plant General Arrangement drawings for Outline design and Detailed design Prepare technical reports / drawing Whole Life Cost analysis Preparation of Bill of Quantities Piping layout and Isometric drawings Carry out other duties as may be assigned from time to time by supervisor/management, Need to work off-hours for client co-ordination: Occasionally Need to travel off-shore for training / on-site work: Occasionally Person Specifications: Bachelor/ master’s degree in mechanical engineering 5 to 10 years of experience in water, waste water treatment, industrial water treatment and pumping station projects. Piping and equipment specification development Equipment data sheet development Familiar with ASME and API codes Generate complex equipment (like Heat Exchangers) system specifications Experience in heavy industrial (Power, Oil and Gas, Mining and Manufacturing) and utility capital projects Generate equipment General Arrangement layouts Knowledge of Pipe stress analysis Conduct Pump hydraulics modeling Rotating equipment sizing Generate plant layout design Knowledge of 2D and 3D drafting software such as AutoCAD, REVIT and Open Plant Modeler preferred Have excellent data manipulation abilities (MS Excel/MS Access database type packages) Technical report writing skills Competent level of baseline skills, i.e. professional and confident with the essential, basic business and communication skills that are required for career growth in all positions Rigorous attention to detail, able to understand and adopt workflows and commitment to personal professional development Flexible attitude to accepting different work assignments and pro-active attitude to execution / deliver Primary Location: India | Pune Organization: Stantec IN Business Unit Employee Status: Regular Job Level: Nonmanager Travel: No Schedule: Full time Job Posting: 30/05/2025 12:05:52 Req ID: 1000981 Show more Show less