94 Modeling Tools Jobs

This position is responsible for Customer Order Projects, Layout Integration Engineering for LGT auxiliary packages including detail design using tools like Open Plant etc. This role will be a member of the COE team and will be responsible for Plant Layout for multiple Gas turbine (GT) frames. This position is located in Gurgaon (IND), majority of the tasks will be in Customer Order Engineering but also supporting R&D and site support. oriented: Layout Integration Engineering represents the layout concepts for GT packages in the project resp. R&D team. Coordination with various disciplines within Siemens Energy like piping, fluid system process engineering, electrical engineering and balance of plant and Civil engineering. Review of detailed design of equipments & skids including fixing with focus on interaction with other components and conformity with reference design Prepare basic design and (if needed) procurement drawings for GT and skid enclosures Review of detailed design of enclosures for the skids and main units. Ensure existence of escape route, fire protection and hazardous area requirements for GT package. Planning & Modeling of equipment, in 3D tools like Open Plant and extracting drawings including assembly drawings for layout. Work in global project teams Provide field/site support. We dont need superheroes, just super minds: Bachelor in Mechanical Engineering or other comparable degree 7 to 12 years of engineering work experience 3 years in the related work Ability to travel globally Excellent team player to support and serve the global team High flexibility in taking new tasks/responsibilities Excellent communication skills Strong dedication to the product and willingness to own it Solid entrepreneurial thinking Solid understanding about the interactions of quality, costs and delivery time Good command of English language Interest in pushing forward of activities and active tracking of deliverables Good understanding of technical relationships Expertise in power generation business or plant engineering Preferred Knowledge/Skills, Education, and Experience Expertise in modeling tools like Open Plant or equivalent Knowledge of escape routes, fire protection and hazardous area requirements including NFPA Expertise in project engineering management This role is based at Site (Gurgaon). Youll also get to visit other locations in India and beyond, so youll need to go where this journey takes you. In return, youll get the chance to work with teams impacting entire cities, countries and the shape of things to come.

Siemens Energy India Limited is seeking a responsible, professional, and self-motivated individual to join the Gas Turbine R&D, Gurgaon as a Gas Turbine - Engine Integration (SAS & Heat Transfer) Engineer. This position provides an exciting opportunity to work in a fast-paced, dynamic, global product development environment. This position is for an experienced professional, who will be responsible for assessment of flows (Secondary air system model), thermals and displacements (Whole engine model) to support R&D projects of Gas turbines. The selected candidate will join an aspiring team of engine integration engineers working on the existing GT product and/or the next generation of Siemens Gas turbines. This position will report to the whole engine module manager at Gurgaon. oriented: Development and analysis of Secondary air system (SAS) & Whole engine (WE) models to estimate mass flows, temperature & displacements of gas turbine. Complete ownership of the Secondary air system & Whole engine models for different gas turbine variants. Responsible for model results and successful completion of design or gate reviews for new product initiatives and service upgrades. Perform quick design trade studies via. Secondary air system and Whole engine model assessment. Incorporate best practices from Siemens gas turbines regarding engine operations and controls. Develop instrumentation and testing plans to support engine development program, and calibrate/validate SAS & WE models based on the measured instrumentations. Post-processing of Secondary air system results to be applied in Whole engine thermo-mechanical model for metal temperature predictions and clearances optimization. Collaborate with different design groups to drive design changes in order to optimize engine performance. We dont need superheroes, just super minds: Bachelor / Masters Degree in Mechanical/Aerospace engineering discipline from recognized university. More than 3 years of experience in the design and development of Gas turbine components in context to Secondary air system, whole engine modeling, clearances & sealing design. Basic understanding of gas turbine components and operations, including key design criteria in context to Secondary air system & Whole engine models. Experience with Fluid Mechanics & Heat Transfer techniques in Gas turbines. Knowledge of fluid and structure interactions to simulate SS and transient conjugate thermal analysis. Proficiency in one or multiple computational modeling tools for thermo-mechanical or computational fluid dynamics analysis (e.g., SC03, CFX, Ansys, Abaqus, NASTRAN, ProE, NX etc.). Problem-solving ability. Data analysis skills. Verbal and written communication skills. Positive Interpersonal skills (i.e., team player, quick learner, ability to adapt changes with growth mind set etc.). This role is based at Site (Gurgaon). Youll also get to visit other locations in India and beyond, so youll need to go where this journey takes you. In return, youll get the chance to work with teams impacting entire cities, countries and the shape of things to come.

Bachelor's or Master's degree in Computer Science, Information Systems, Finance, or a related field. Minimum of 5 years of experience in data modeling, with a strong preference for candidates with capital markets experience. Expert knowledge of financial products, trade lifecycle, and market data. Demonstrated experience in modeling trade data using industry-standard protocols and schemas such as FpML (Financial Products Markup Language), ISDA CDM (International Swaps and Derivatives Association Common Domain Model), FIX (Financial Information eXchange), SWIFT, or ISO20022. Proficiency in data modeling tools (e.g., ERwin, PowerDesigner, IBM Data Architect) and familiarity with database technologies (SQL, NoSQL). Experience with data warehousing, ETL processes, and big data platforms. Excellent analytical, problem-solving, and organizational skills. Effective communication skills, with the ability to interact with a variety of stakeholders. Understanding of financial regulations (e.g., GDPR, MiFID II, Dodd-Frank) and their impact on data management. Ability to work independently as well as collaboratively in a team environment. Relevant professional certifications (e.g., CFA, FRM) are considered an asset.

We are seeking an experienced Data Modeler with a strong background in real estate, investment management, and master data management. The ideal candidate will be responsible for designing, implementing, and maintaining data models that support our business objectives. This role requires a deep understanding of data architecture, data integration, and database optimization. Key Responsibilities: Design and Develop Data Models: Create conceptual, logical, and physical data models to support business requirements in the real estate and investment management domains. Master Data Management (MDM): Develop and manage master data solutions to ensure data consistency, accuracy, and reliability across the organization. Data Integration: Integrate data from various sources, ensuring consistency and accuracy across systems. Data Mapping: Map data elements to business requirements and create detailed data mapping documents. Collaboration: Work closely with data analysts, database administrators, and business stakeholders to understand data needs and deliver solutions. Documentation: Maintain comprehensive documentation of data models, data flows, and data dictionaries. Data Governance: Ensure data models comply with data governance and security policies. Qualifications: Experience: Overall 12+ Yrs Minimum of 5 years of experience in data modeling, with a focus on real estate, investment management, and master data management. Technical Skills: Proficiency in SQL, data modeling tools (e.g., ER/Studio, ERwin), and database management systems (e.g., Oracle, SQL Server). Domain Expertise: In-depth knowledge of real estate and investment management processes and data requirements. MDM Expertise: Strong experience in master data management, including data governance, data quality, and data stewardship. Analytical Skills: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Preferred Skills: Experience with data warehousing and business intelligence tools. Familiarity with cloud-based data solutions (e.g., AWS, Azure). Knowledge of data governance frameworks and best practices.

Curious about the role? What your typical day would look like? As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights. On a typical day, you might • Engage the clients & understand the business requirements to translate those into data models. • Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions. • Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. • Use the Data Modelling tool to create appropriate data models • Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. • Gather and publish Data Dictionaries. • Ideate, design, and guide the teams in building automations and accelerators • Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. • Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. • Use version control to maintain versions of data models. • Collaborate with Data Engineers to design and develop data extraction and integration code modules. • Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing. • Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders. • Work with the client to define, establish and implement the right modelling approach as per the requirement • Help define the standards and best practices • Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc. • Coach team members, and review code artifacts. • Contribute to proposals and RFPs Job Requirement What do we expect? • 10+ years of experience in Data space. • Decent SQL knowledge • Able to suggest modeling approaches for a given problem. • Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) • Real-time experience working in OLAP & OLTP database models (Dimensional models). • Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. • Eye to analyze data & comfortable with following agile methodology. • Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) • Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables. • Experience in contributing to proposals and RFPs • Good experience in stakeholder management • Decent communication and experience in leading the team You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry .

As a Business Analyst with Strong Life and Annuity Insurance Knowledge, you will be responsible for working on Insurance Projects, specifically focusing on Policy Admin systems and mainframe usage. Your experience in new business and sales within the insurance domain will be highly valued. Your role will involve having conversion experience and a deep understanding of LifeSys functionality/screens and neutral file data. You will be expected to analyze recon/out of balance policies and provide effective solutions. With a minimum of 10+ years of IT experience, including at least 7 years in the LifeAnnuity Insurance domain, you should possess a strong understanding of insurance products and processes. Experience in working on insurance projects for global insurance organizations will be advantageous. Excellent oral and written communication skills are essential, along with knowledge of related industry considerations. You must have a good working knowledge and demonstrated ability in utilizing policy administration systems, business analysis tools, and procedures such as Functional Specs, RTM, BRD, and Modeling tools. Being a good team player and a self-starter is crucial for success in this role. You should be capable of dealing with insurance customers and client-facing interactions. Strong analytical skills are required to effectively perform the duties of this position. The shift timings for this role are from 1:30 PM IST to 11:30 IST or 12:30 PM to 10:30 PM IST. The educational qualification required is a graduate with a minimum of 12+4 Campus Education (BE / M.Sc / MCA).,

As a Principal Materials Science Researcher at Voltanova, you will leverage your 5+ years of experience in materials science engineering to lead cutting-edge R&D initiatives focused on high-temperature systems. Your primary responsibility will be to drive innovation in advanced material development for thermal energy storage and heating systems, ensuring the intersection of research and scalable industrial applications. In this leadership role, you will lead and oversee all R&D projects related to material development for high-temperature energy systems. By spearheading the design, simulation, and optimization of materials using advanced modeling tools, you will play a crucial role in shaping the future of high-performance material systems. Additionally, you will provide technical direction on material selection, performance validation, and failure analysis, collaborating closely with engineering, manufacturing, and product teams to translate R&D outcomes into real-world deployments. To excel in this role, you should possess a PhD or Masters degree in Materials Science or a related field, along with a proven track record of at least 5 years in materials research and development, preferably within thermal or energy systems. Your expertise in high-temperature materials such as ceramics, graphite, and insulation composites, combined with a strong command of simulation techniques, will be essential for success. Moreover, your excellent leadership, problem-solving, and communication skills will enable you to establish long-term research goals aligned with Voltanova's vision for advanced thermal storage technologies. In return, Voltanova offers you a leadership role with high impact and visibility, along with a competitive salary, equity, and performance-based incentives. This is your opportunity to shape the next generation of thermal BESS technologies and make a significant contribution to the field of materials science. To apply for this position, please send your resume and cover letter to contact@voltanova.in with the subject line: "Principal Materials Science Researcher".,

As the Director, Data Strategy and Governance , you will operationalize Amgen's data governance vision across the enterprise. Your primary responsibility will be to translate the direction from the Enterprise Data Council into operational deliverables, policies, and standards. You will lead the Enterprise Data Governance program, manage a team of specialists, and partner with senior leadership to align data initiatives with business goals. This role is critical for accelerating AI innovative solutions and ensuring Amgen's transformation into a data-driven organization. Roles & Responsibilities Program Leadership & Governance: You will have overall accountability for the Enterprise Data Governance program. This includes leading multi-functional Data Governance Forums and driving compliance with regulations like GDPR and CCPA . You will also be responsible for rolling out and increasing the adoption of the Enterprise Data Governance Framework. Team & Stakeholder Management: Manage and mentor the Data Strategy & Governance Leads. You will serve as the primary escalation point for operational-level data and process issues, resolving or escalating them through the interpretation of Enterprise Data Council objectives. Standards & Documentation: Establish enterprise-level standards for the nomenclature, content, and structure of information, including metadata, glossaries, and taxonomies. Your team will be the experts on data definitions, data flows, and common data models, maintaining all necessary documentation. Quality & Improvement: Identify areas for data governance improvements and help resolve data quality problems. You will develop metrics to measure the effectiveness and adoption of data governance policies and standards. Foundation & Technology: Jointly with technology and business teams, you will define the specifications that shape the development and implementation of data foundations. You will also have a strong understanding of data management, common data models, and master data management ( MDM ). Qualifications A Doctorate degree with 4 years of experience, a Master's degree with 14-16 years of experience, or a Bachelor's degree with 16-18 years of experience in Information Systems. 6 years of managerial experience directly managing people and leading teams or projects. In-depth knowledge and experience with data governance principles and technology, including the ability to design and implement Data Governance operating models. Technical skills with in-depth knowledge of Pharma processes, with a preferred specialization in a domain ( e.g., Research, Clinical Trials ). Experience with data products development life cycle and the enablement of data dictionaries and business glossaries. Experience with modeling tools ( e.g., Visio ), data visualization, and data modeling tools is a plus. Soft Skills Leadership & Influence: Demonstrated leadership experience and the ability to influence senior executives and multi-functional leaders. Problem-Solving: The ability to identify areas for data governance improvements and resolve data quality problems. Communication: Strong verbal and written communication skills, with the ability to work effectively with global, virtual teams. Collaboration: Excellent interpersonal skills and the ability to build business relationships and understand end-to-end data needs. Organization: Good attention to detail, quality, and time management, with the ability to manage multiple priorities successfully.

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Apache JMeter Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Performance Test lead, you will engage with clients on gathering requirements, creating plans for performance testing, negotiating on priorities, analyzing the results and providing the feedback to the development teams, mentoring team on their day to day work. Your typical day will involve collaborating with various stakeholders to develop and implement effective performance test strategies ensuring that client needs are met with precision and care. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills and knowledge. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache J Meter.- Strong analytical skills to assess asset performance and recommend improvements.- Experience in developing and implementing financial strategies that align with business objectives.- Ability to communicate complex financial concepts clearly to diverse audiences.- Proficiency in using financial modeling tools and software to analyze data. Additional Information:- The candidate should have minimum 7.5 years of experience in Performance Testing Strategy and Apache J meter.- This position is based at Hyderabad- A 15 years full time education is required Qualification 15 years full time education

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : Apache JMeter Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Performance Test lead, you will engage with clients on gathering requirements, creating plans for performance testing, negotiating on priorities, analyzing the results and providing the feedback to the development teams, mentoring team on their day to day work. Your typical day will involve collaborating with various stakeholders to develop and implement effective performance test strategies ensuring that client needs are met with precision and care. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills and knowledge. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache J Meter.- Strong analytical skills to assess asset performance and recommend improvements.- Experience in developing and implementing financial strategies that align with business objectives.- Ability to communicate complex financial concepts clearly to diverse audiences.- Proficiency in using financial modeling tools and software to analyze data. Additional Information:- The candidate should have minimum 7.5 years of experience in Performance Testing Strategy and Apache J meter.- This position is based at Hyderabad- A 15 years full time education is required Qualification 15 years full time education

As the Principal Thermal Design Engineer at Voltanova, you will play a crucial role in leading the design and optimization of high-temperature thermal storage systems. Your primary focus will be on developing storage systems capable of handling extreme heat, enhancing efficiency, and ensuring scalability. In this position, you will collaborate closely with the engineering team to design cost-effective and scalable thermal storage solutions while leveraging your expertise in thermal engineering, energy systems design, and working with high-temperature materials and energy transfer mechanisms. Your responsibilities will include designing and developing thermal energy storage systems for high-temperature applications, creating thermal models and simulations to enhance heat retention and energy conversion efficiency, integrating heating mechanisms for optimal energy transfer, and collaborating with R&D and manufacturing teams to prototype and validate designs. Additionally, you will conduct parametric studies, benchmark performance, ensure compliance with industry standards and safety regulations, and contribute to patent development for proprietary designs. To excel in this role, you should hold a degree in Mechanical Engineering, Thermal Engineering, Energy Systems, or related fields, along with at least 6 years of experience in designing thermal energy storage systems or similar high-temperature applications. Your strong knowledge of thermodynamics, heat transfer, and materials science in high-temperature environments, coupled with hands-on experience in thermal simulation software and modeling tools, will be essential. Moreover, your familiarity with heating methods, thermal insulation materials, and ability to collaborate effectively with interdisciplinary teams will be key to your success. In return, Voltanova offers a competitive salary, significant equity package, comprehensive health insurance, and the opportunity to work in a cutting-edge green technology company. You will thrive in a collaborative and innovative work environment with ample opportunities for professional growth, contributing to a dynamic team that is driving meaningful change in global energy systems. To apply for this exciting opportunity, please send your resume to contact@voltanova.in. Join us in revolutionizing thermal energy storage and addressing industrial energy needs sustainably.,

As a Senior Thermal Design Engineer at Voltanova, you will play a crucial role in leading the design and optimization of high-temperature thermal storage systems. Your primary focus will be on developing systems capable of withstanding extreme heat, enhancing efficiency, and ensuring scalability to meet industrial energy needs sustainably. Your expertise in thermal engineering, energy systems design, and experience with high-temperature materials and energy transfer mechanisms will be instrumental in driving innovation within our green technology company. Your responsibilities will include designing and developing thermal energy storage systems tailored for high-temperature applications, collaborating closely with the engineering team to create scalable and cost-effective solutions. You will utilize thermal models and simulations to enhance heat retention, energy conversion, and overall system efficiency. Additionally, integrating heating mechanisms such as resistive heating and inductive heating for optimal energy transfer with minimal loss will be a key aspect of your role. Your involvement in prototyping, validating designs, conducting performance benchmarking, and ensuring compliance with industry standards and safety regulations will be vital to our success. To excel in this role, you should hold a Bachelor's, Master's, or Ph.D. in Mechanical Engineering, Thermal Engineering, Energy Systems, or related disciplines, along with a minimum of 6 years of experience in designing thermal energy storage systems or similar high-temperature applications. Your strong understanding of thermodynamics, heat transfer, and materials science in high-temperature environments, coupled with hands-on experience in thermal simulation software and modeling tools, will be essential. Moreover, your familiarity with various heating methods and thermal insulation materials, along with your ability to collaborate effectively with interdisciplinary teams, will be highly valued. In return, Voltanova offers a competitive salary, significant equity package, comprehensive health insurance, and the opportunity to work in a cutting-edge green technology company. You will thrive in our collaborative and innovative work environment, with ample opportunities for professional growth and the chance to be part of a dynamic team catalyzing meaningful change in global energy systems. To apply for this exciting opportunity, please send your resume to contact@voltanova.in. Join us in our mission to revolutionize thermal energy storage and make a lasting impact on industrial energy sustainability.,

As a skilled Integration Specialist, you will be responsible for interacting and collaborating with customers and partners to define the integration landscape. Your role will involve defining the logical sequence of integration activities for SaaS onboarding projects and coordinating with the product development team to implement recommended integration strategies. By improving the overall project delivery experience and go-live time through process and documentation enhancements, you will contribute to the success of integration projects. You will be supporting cloud infrastructure and system components required for integration while also taking the lead in the identification, isolation, resolution, and communication of issues within a client environment. To succeed in this role, you must have worked on at least one end-to-end SaaS implementation project and possess 3-10 years of application and data integration experience. Your experience with clustering and high availability configurations, along with Agile methodologies, will be beneficial. Designing an end-to-end scalable microservices-based integration solution is a must, in addition to having broad exposure to different technology stacks involved in a SaaS delivery model. Your knowledge and experience should encompass various aspects, including microservices design patterns, service orchestration, inter-service communication, data integration concepts and tools, network protocol stacks, security postures in integration technology stacks, API design, and API-based integration. Familiarity with Azure, AWS, and GCP public cloud platforms and their integration approaches is essential. Additionally, hands-on experience with the Kafka Connect Framework and skilled technical documentation abilities are required. As a solution designer at heart, you should be able to use modeling tools to create effective architecture views and possess strong organizational, analytical, critical thinking, and debugging skills. Excellent communication skills are vital for effectively articulating complex technical and functional requirements to project stakeholders. Being a self-starter who is willing to engage in all aspects of solution delivery, including implementation and process improvement, is key. A broad picture mindset is necessary to visualize the end-to-end solution of a project. Nice-to-have qualifications include domain knowledge of banking and financial institutions, experience with geographically distributed delivery and client teams, and hands-on experience with setting up and configuring Kafka brokers.,

Technical Director - Energy (Transmission & Distribution) AECOMs Enterprise Capabilities team is looking for a Technical Director - Energy - to join our team in Bengaluru/Gurugram. About Enterprise Capabilities Fundamental to our Think and Act Globally strategy and digital adoption, Enterprise Capabilities (EC) is AECOMs primary vehicle for workshare. Operating across geographic boundaries and time-zones, EC partners with regional and Global Business Line project teams to provide technical expertise, accelerate delivery and keep AECOM competitive in the industry. With a team of over 3,000 technical professionals located across nine countries and remote technical anchors, EC teams are trusted to deliver high-quality, specialist services that help to fill capability gaps, resourcing needs and technical constraints on projects of all scopes and sizes. Start here. Grow here. About The Role The Technical Director- Energy will be responsible to build up and grow the headcount of our India team in areas related to Energy Transition & Renewable Energy projects. This is a senior level technical leadership role within AECOM EC and requires a strong technical understanding of the Energy Transition & Renewables sector. Great leadership ability and ability to gain confidence and trust of key stakeholders from lead office, is essential. The ability to identify appropriate solutions to wide range of projects from all over the Globe, including promoting innovative ideas is an important requirement of the role. Roles and Responsibilities: Develops technical approach for solving wide range of complex technical challenges and project / client needs related to Energy Transition and Renewable Energy projects. Should be able to work independently with minimal general direction from senior management. Experience in Energy Sector projects (such as EHV, MV and LV Substations & Transmission lines Design, exposure to Urban Infrastructure related Electrical Power systems planning and development, Green Hydrogen, BESS, Pumped Storage, and other Hybrid solutions etc.,) "“ overall. Exposure to conceptual and detailed design of global EHV and related Energy sector projects experience in ANZ / UK / US / Canada / APAC region / Middle East is highly preferred. Exposure to Technical Advisory Services related to planning of Hybrid Generation Systems using combination of Renewable Energy systems with BESS is highly desirable. Capable of taking up overall responsibility and accountability for ensuring successful completion and delivery of assigned technical work through competent team members. Must be a team player and possess strong interpersonal skills. Must lead the team with an empathetic approach while ensuring adherence to AECOM value systems. Must ensure highest levels of compliance to Quality, Safety requirements in all works delivered. Must be able to make decisions, and function proactively. Maintain affiliation with professional societies to keep abreast of current technologies. Chartership or Fellowship with IET/IEEE/EA other equivalent International agencies is highly desirable. Collaborating with other senior management to formulate strategy for Business Continuity and requirements. Enhance the communication channel between businesses, Support functions and management. Ensuring the Implementation of important policy and processes for smooth internal functioning of project delivery team and overall workflow processes as per AECOM quality standards and procedures. Interface between Support functions and Business. Oversee the adoption of new technology solutions in the businesses wherever possible. Regular reporting to senior management about performance and issues along with suggestions for further improvement. Qualifications Qualifications Master of Engineering or Technology degree (or equivalent education) in an appropriate engineering discipline (Electrical & Electronics / Power Systems / Energy Generation / Energy Systems / Renewable Energy / Structural Engineering) from an accredited college or university. Applicants must have 15-20 years of experience in Energy Sector related Engineering design works in globally reputed consultancy or contracting or equivalent firms. Global experience in Extra High Voltage System engineering, Grid Integration solutions, Large Energy related infrastructure project design works, experience with National Grid or other Transmission and Distribution Utilities in system level design would be highly desirable . Able to see "bigger picture" and take a birds-eye view of projects. Should have managed a team of Fifty or more design professionals working on engineering technical designs in Energy sector projects. Good knowledge of various design tools like power system study software (dynamic and static studies), modelling tools (3D and 2D), project planning tools will be an additional advantage. Good communication skills in multiple languages (English is mandatory) and good public speaking skills are essential. Additional Information Additional information At AECOM, you will have freedom to grow in a world of opportunity. Our Freedom to Grow hybrid working philosophy is the cornerstone of our success as a business- supporting a culture of flexibility, trust and performance at AECOM.

Develop and lead the end-to-end product reliability strategy across design, testing, manufacturing, and field performance for electrolyzer systems. Collaborate deeply with design engineering, R&D, and systems engineering to embed reliability into early design stages (FMEA, DfR, HALT, etc.). Partner with operations and quality teams to monitor manufacturing consistency, identify systemic issues, and implement corrective/preventive actions (CAPA). Work closely with field service and customer success to collect, analyze, and respond to real-world performance data and customer feedback. Own and drive reliability testing programs, including accelerated life testing, environmental testing, stress testing, and statistical reliability validation. Lead root cause analysis (RCA) on field and test failures, ensuring closed-loop learning feeds back into future designs. Build and scale a high-performing reliability engineering team with strong analytical and experimental capabilities. Present reliability metrics and insights to executive leadership, supporting product roadmap and risk management decisions. Ensure compliance with relevant industry standards, safety regulations, and certification requirements. Desired Qualifications : Bachelor’s degree in Mechanical, Electrical, Chemical Engineering or related discipline 15+ years of experience in product reliability, systems engineering, or product development, ideally with automotive industry. Demonstrated success leading cross-functional reliability programs for complex, electro-mechanical products. Deep knowledge of reliability engineering tools and methodologies (FMEA, Weibull analysis, HALT/HASS, DFMEA, etc.). Background in automotive reliability, or industrial energy equipment is a strong plus. Proven ability to bridge engineering and operational teams to drive measurable product improvements. Strong data analysis skills; proficiency with reliability modeling tools and statistical software. Exceptional communication, leadership, and organizational skills Skills:- Design for Reliability (DFR), Highly Accelerated Life Test (HALT), Product Development, Product Reliability, Weibull Analysis Education: - Bachelor of Engineering / Bachelor of Technology (B.E./B.Tech) - Chemical Engineering, Bachelor of Engineering / Bachelor of Technology (B.E./B.Tech) - Electrical Engineering, Bachelor of Engineering / Bachelor of Technology (B.E./B.Tech) - Mechanical Engineering Ohmium is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Model Risk Management (MRM) is part of the Global Risk Management of Citi and is responsible for Independent Oversight of models across the firm. Citi is seeking a Vice President to join the System Strategy and Oversight Team within Model Risk Management Inventory & Initiative Management Group. The role requires experience in Risk management, SDLC, Waterfall, Iterative and Agile methodologies, and expertise in Project Management and Governance. Experience in process reengineering, business architecture, simplification, controls and UAT. Experience in developing solutions driving automation of Gen AI/ modeling tools or building reporting frameworks would be a big plus. Familiarity with FRB's Supervisory Guidance on MRM SR 11-7 and 15-18. The MRM System Strategy & Oversight (SSO) Lead will be responsible to drive reengineering of MRMS, the Citi Model Risk Management System in line with Model Risk Management Policy and Procedures and overall Model Risk system strategy. They will translate policies, procedures, and guidelines into process maps and concrete tasks, identify dependencies, decision points, actors, opportunities for streamlining, etc., and build system solutions to support. The role involves collaborating with various stakeholders both within and outside Risk management to identify, streamline, simplify, and implement model life cycle processes in MRMS. The responsibilities also include authoring Business requirements, re-engineering processes and system solutions to drive simplification and automation, liaising with IT partners to build effective system solutions, and partnering with validation and development groups to drive integration of metrics and documentation digitization, Gen AI POCs with MRMS target state. The ideal candidate should have 12+ years of working experience with 5+ years in product development or equivalent role. They should be familiar with O&T developing cycle as well as with model risk management or similar. Experience in supporting cross-functional projects with project management, technology on system enhancements is required. Additionally, knowledge/experience with process design, database design, and high proficiency in SQL are essential. Institutional knowledge/experience with Citi platforms/application is preferred. Strong interpersonal skills, project management skills, and experience with Python, R, other programming languages for implementing POCs are desired. Expert level knowledge at MS Excel for data analytics including VBA skills; MS PowerPoint for executive presentations; MS Word for business documentation; MS Visio for process flows and swim lane are also expected. A Bachelor's degree in finance, mathematics, computer science or related field is required, with a Master's Degree being preferred. Working at Citi means joining a family of more than 230,000 dedicated people from around the globe. It offers the opportunity to grow your career, give back to your community, and make a real impact. If you are looking to take the next step in your career, consider applying for this role at Citi today.,

As a Lead Engineer in Design & Development, your primary responsibility will be to devise technical solutions based on the requirements of the product/platform and provide guidance and mentorship to the team. You will be expected to support Architectural Concepts and the technical roadmap in related technology fields of the project. Additionally, you will play a key role in driving the development of Continuous Delivery pipeline in the Cloud environment, utilizing new architecture paradigms like Microservices. Your duties will also include contributing to elaborate software requirements and other specifications needed for development tasks, as well as communicating and coordinating on technical aspects in global development models. You will be involved in supporting project planning activities through estimation, identification of integration points, technical risks & mitigations, etc. Furthermore, you will ensure the testability of the design and support test-automation design, participate in the validation of implemented features, and evaluate tools & technologies through prototypes. To qualify for this role, you should possess a Bachelor's or Master's degree in Computer Science & Engineering or equivalent, along with at least 8+ years of experience in software development, including 2-4 years in leading development. Desired experience includes sound knowledge of AWS Cloud eco-systems, SaaS & application development using distributed architecture and frameworks, strong knowledge of Edge devices (IoT), and hands-on experience with full stack application development. You should also have hands-on experience in Distributed Computing architectures and communication paradigms like REST, WebServices, MQTT, etc., along with familiarity with Docker, Kubernetes & Container technologies. A good understanding of Deployment Pipelines, DevOps, and related tools/methods is desirable, as well as a strong grasp of the AWS ecosystem and its services such as Gateway, CDN, multi-regions, database, caching, ECS, security standards, IoT, etc. In addition to technical expertise, you should possess excellent problem-solving and decision-making skills, the ability to work in a team environment, outstanding communication skills, and extensive experience in working with multiple stakeholders across geographies. You should be self-motivated, self-driven, and an excellent team player with the ability to technically lead and motivate team members.,

Work Mode: Hybrid(3days WFO & 2 days WFH) Role & responsibilities Proficiency in data modeling tools such as ER/Studio, ERwin or similar. Deep understanding of relational database design, normalization/denormalization, and data warehousing principles. Experience with SQL and working knowledge of database platforms like Oracle, SQL Server, PostgreSQL, or Snowflake. Strong knowledge of metadata management, data lineage, and data governance practices. Understanding of data integration, ETL processes, and data quality frameworks. Ability to interpret and translate complex business requirements into scalable data models. Excellent communication and documentation skills to collaborate with cross-functional teams. Preferred candidate profile Need 15 days or Immediate candidates .

Are you passionate about using data and process design to drive real impact across the customer journey? Do you enjoy digging into how clients use a product, where they get stuck, and what helps them succeed? If so, were looking for you. Were a fast-growing B2B SaaS company that helps organizations build highly engaged, high performance teams. As we scale, we’re investing in the way we serve and grow our customer base. That’s where you come in. What You’ll Own and Achieve in This Role As our Customer Operations Analyst / Process Analyst , you’ll be the engine behind improving how we onboard, retain, and grow customers. This is not a back-office reporting role—it’s a strategic seat that will influence Product, Customer Success, and Revenue Growth. Here’s what success looks like in your first 12 months: Key Outcomes You’ll Drive Reduce time-to-value by 30% by auditing and redesigning the onboarding process to remove friction and improve handoffs. Increase feature utilization by 20% across key customer segments by building usage dashboards and partnering with CS and Product on adoption playbooks. Build a predictive customer health model that flags at-risk accounts with 80%+ accuracy at least 60 days in advance. Define and launch a service effectiveness framework with 3–5 key metrics (e.g., onboarding success, CSAT, support SLAs) to track and improve delivery outcomes. Identify 15–20 qualified upsell opportunities/month using a scoring model based on product usage, engagement, and customer profiles. Automate 5+ manual workflows or reports across the CS and Revenue Ops team to improve efficiency and reduce redundant work. What You’ll Be Doing Day-to-Day Analyze platform usage data to uncover trends in adoption, friction, and product ROI. Partner with Customer Success to improve onboarding, success planning, and health tracking processes. Work with Product to surface customer feedback and usage gaps. Build scalable reporting frameworks using tools like Looker, Excel, SQL, and HubSpot. Monitor the full customer lifecycle and identify early warning signs of churn. Support Sales and CS teams with insights for QBRs, expansion plays, and renewals. Automate insights and reporting with tools like Zapier, HubSpot workflows, and dashboards. What You Bring Ideally a Bachelors or Masters in Operations Management/Research, Statistics, Industrial Engineering, Process Management related field 2–5 years of experience in Customer Operations, Business/Process Analysis, Customer Success Ops, or a similar role in a B2B SaaS environment. Strong analytical and modeling skills—you’re fluent in using data to drive decisions. Working knowledge of HubSpot (CRM, workflows, reporting) is strongly preferred. Use of AI and AI automation tools to augment your work Experience with customer engagement tools and analytics platforms Excellent communication skills—you can translate technical insights into business actions across teams. A systems-thinker mindset—you’re excited about solving root problems, not just surface-level symptoms. Why Join Us? Mission-driven team with a supportive and fast-paced culture. Work with leaders across Product, Sales, and CS to drive strategic impact. Competitive salary, benefits, and growth opportunities. Flexible work environment.

Lead BIM Designer as a senior member of the modelling team, is expected to coordinate with project managers, engineers, and other technicians for technical delivery of wide range of engineering drawings for projects of varying complexity. Principal technician would be key drivers for technical quality of the work and compliance with project objectives and quality standards. R esponsibilities: BIM Implementation: Lead the implementation of BIM processes and standards within the design team and across project stakeholders. Collaboration: Facilitate collaboration among architects, engineers, contractors, and other project team members using BIM, ensuring seamless information exchange. Model Development: Oversee the development of detailed 3D models using BIM software, ensuring they accurately represent the design intent and comply with industry standards. Data Management: Manage and organize the vast amount of data associated with the BIM model, ensuring that it is accurate, up-to-date, and accessible to all relevant parties. Clash Detection: Utilize clash detection tools within BIM software to identify and resolve conflicts in the design before construction, reducing the likelihood of rework and cost overruns. Documentation: Generate construction documentation directly from the BIM model, ensuring consistency and accuracy in drawings and specifications. Quality Control: Implement quality control processes to review BIM models for accuracy, completeness, and compliance with project requirements. Training and Support: Provide training and support to team members on BIM tools and processes, fostering a collaborative and efficient working environment. Innovation: Stay abreast of industry trends and advancements in BIM technology, exploring innovative ways to enhance the design and construction process. BIM Execution Plan : Review, negotiate with lead architects and client and implement to suit MEP services Mentor - Provides guidance and knowledge to juniors and works towards competence enhancement of another technician within the team. Will coordinate with project managers and/or engineers for drafting work in each project. Is responsible for technical correctness and timely delivery of the drawings and documents in his projects. Understanding of all aspects governing operational & up to date knowledge of the latest technological advancements, regulations/guidelines &statutory compliances in the industry. Effective resource planning/optimization with a focus on waste reduction, enhancing productivity & profitability; ability to use sound decision-making skills to effectively perform in a self-directed environment. Possessing valuable insights, keen analysis team approach to implement best practices, adept at working in high-pressure environments with strict deadlines &multiple deliverables. Technical expertise in Revit MEP (BIM software), AutoCAD MEP, Navisworks, AutoCAD & familiar with BIM/CAD Standards, ASHRAE, ISHRAE, ACAD – (2004 to 2012), Navisworks & Revit MEP 2009 to 2023.3D,4D Drawings. BIM MODELING, Coordination and Preparation BOQ. Will assist the project team towards developing/implementing drafting/modelling standards. Would assist in even distribution of work within the BIM team. Will assist in improving the efficiency and productivity of the BIM team. Communicates the training and development needs to his supervisor. Exercises self-discipline and work ethics Respect and follow company policies and procedures. Qualification Required Skills and Qualifications: - Diploma or Degree in Mechanical Engineering. Strong knowledge of Revit is essential. Core Knowledge of MEP services with specialization in one service as a minimum. Knowledge of 3D modeling tools such as Revit & Navisworks would be desirable. Knowledge of 3D modeling of all services Electrical, Knowledge of 3D modeling of Mechanical, plumbing will be addon. Experience in preparing general arrangement drawings, Experience in all stages of drawings such as Concept, Schematic, Detail design and GFC. A robust knowledge of Building Services design and experience of services full co-ordination Must have knowledge of BIM/CAD standards and aware of Engineering terminology must have experience on international project. self-motivated, team player and able to work independently with minimum supervision. Flexible attitude, in an environment with frequently changing deadlines can be relied on to meet deadlines, committed to both their work and personal development, with a willingness to widen their experience, including knowledge base and leadership skills. Knowledge of Microsoft applications Good level of written and spoken English EXPERIENCE Minimum 10 to 15 years of professional experience ideally having worked on major Middle East , UK projects Proven track record in building services design with different types of sectors, including high rise, commercial, residential, retail, Healthcare, Industrial, refurbishment, etc; Proven record as a BIM lead on several projects, having led a team of moderate to big in size Experienced at: Presenting to clients/architects Attending demanding client meetings Preparing project proposals for agreement Arranging project resources Planning and execution of projects Additional Information About Ramboll Founded in Denmark, Ramboll is a foundation-owned people company. We have more than 18,000 experts working across our global operations in 35 countries. Our experts are leaders in their fields, developing and delivering innovative solutions in diverse markets including Buildings, Transport, Planning & Urban Design, Water, Environment & Health, Energy, and Management Consulting. We invite you to contribute to a more sustainable future working in an open, collaborative, and empowering company. Combining local experience with global knowledge, we together shape the societies of tomorrow. Equality, diversity, and inclusion is at the heart of what we do We believe in the strength of diversity and know that unique experiences and perspectives are vital for creating truly sustainable societies. Therefore, we are committed to providing an inclusive and supportive work environment where everyone can flourish and reach their potential. We welcome applications from candidates of all backgrounds and encourage you to contact our recruitment team to discuss any accommodations you need during the application process

Career Area: Manufacturing : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Role Definition Provides analytical support and strategic guidance on manufacturing cost structures, process efficiencies, and supplier capabilities. Ensures cost models reflect accurate production methods, quality standards, safety compliance, and environmental considerations to support sourcing, design, and operational decisions. Key Responsibilities: Develop and maintain detailed should-cost models for components, assemblies, and manufacturing processes using industry benchmarks and supplier data. Collaborate with engineering, procurement, and operations teams to assess the cost impact of equipment, tooling, and process modifications. Evaluate supplier manufacturing capabilities and cost structures through data analysis, site visits, and technical reviews. Identify cost drivers and inefficiencies in manufacturing processes; recommend cost-optimized alternatives. Support new product development by providing early cost estimates and influencing design decisions for cost-effectiveness. Ensure cost models incorporate relevant safety, quality, and environmental compliance factors. Document and standardize cost modeling methodologies, assumptions, and best practices. Monitor industry trends, material pricing, and manufacturing technologies to keep cost models current and competitive. Provide training and guidance to internal stakeholders on interpreting and applying should-cost data. Qualifications: Bachelors degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or a related field. 5-8+ years of experience in cost engineering, manufacturing engineering, or a related role in a heavy manufacturing environment. Strong understanding of manufacturing processes such as machining, casting, forging, heavy fabrication, and assembly. Proficiency in cost modeling tools, spreadsheets, and data analysis software. Familiarity with lean manufacturing principles, quality standards, and regulatory compliance (e.g., OSHA, ISO). Excellent analytical, communication, and cross-functional collaboration skills. Preferred Qualifications: Experience with should-costing software (e.g., aPriori, Siemens Teamcenter Product Cost Management, Costimator). Knowledge of global supply chain dynamics and supplier cost structures. Exposure to product lifecycle management (PLM) and enterprise resource planning (ERP) systems. Skill Descriptors Decision Making and Critical ThinkingKnowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Extensive Experience: Distinguishes key cost drivers, assumptions, and stakeholder inputs to ensure accurate modeling. Leverages past project data to refine estimation and decision-making processes. Validates cost scenarios and forecasts potential impacts of decisions. Guides teams in analyzing data and evaluating cost-effective alternatives. Applies appropriate decision-making styles based on context and complexity. Challenges outdated assumptions with current data and objective analysis. Judgment and Decision MakingKnowledge of the decision-making process; ability to carefully evaluate the impact of emerging business situations and choose the best path forward communicating actions and activities that maximize organizational performance. Level Working Knowledge: Identifies critical cost drivers in complex manufacturing processes, distinguishing between impactful data and background variability to support accurate cost modeling. Prioritizes should-cost analysis tasks based on production schedules, supplier negotiations, and engineering change impacts, ensuring alignment with operational and financial objectives. Demonstrates sound judgment in defending cost estimates and assumptions, especially when facing conflicting inputs from procurement, engineering, or suppliers. Translates technical and financial data into timely, actionable recommendations that support sourcing strategies, make-or-buy decisions, and capital investment planning. Reassesses cost models when new production data, supplier quotes, or design changes emergebalancing responsiveness with the need for stability in decision-making. Lean ManufacturingKnowledge of the philosophy, principles and implementation approaches of lean manufacturing; ability to integrate and implement lean manufacturing philosophy into existing production and management processes. Level Working Knowledge: Understands core lean manufacturing principles (e.g., waste elimination, flow efficiency, continuous improvement) and their implications for cost modeling and supplier evaluation. Analyzes work cell layouts, material flow, and takt time to identify inefficiencies and quantify cost-saving opportunities in production processes. Supports lean transformation initiatives by identifying cost impacts of technical bottlenecks and workforce-related challenges, offering data-driven insights to guide resolution. Applies lean tools such as value stream mapping, root cause analysis, and standard work evaluation to assess supplier operations and internal manufacturing processes. Interprets lean performance metrics (e.g., OEE, lead time, inventory turns) and benchmarks to inform should-cost estimates and support sourcing and design decisions. Collaborates with cross-functional teams to align cost models with lean objectives, ensuring that cost estimates reflect realistic, optimized production scenarios. Manufacturing EquipmentKnowledge of the electrical, mechanical and logistics equipment used in manufacturing; ability to safely operate, maintain, update and store them. Level Working Knowledge: Understands the function, cost implications, and operational parameters of key manufacturing equipment (e.g., CNC machines, presses, welding systems, conveyors). Evaluates equipment capabilities, utilization rates, and maintenance needs to inform accurate should-cost estimates. Supports cost modeling by incorporating factors such as machine depreciation, energy consumption, tooling life, and cycle times. Participates in equipment assessments during supplier visits or audits, identifying inefficiencies or overcapacity that affect cost structures. Interprets diagnostic data and standard performance metrics to assess equipment-related cost drivers and recommend process improvements. Manufacturing ProcessesKnowledge of existing product manufacturing methods, technologies and processes; ability to execute, plan, manage and monitor the entire manufacturing process. Level Extensive Experience: Advises cross-functional teams on manufacturing process selection using deep industry knowledge, cost benchmarks, and process-performance trade-offs. Develops and maintains best-practice cost modeling templates that reflect real-world manufacturing methods, including machining, casting, forging, welding, and assembly. Trains peers and stakeholders on how manufacturing processes influence cost structures, cycle times, and capital investment. Actively participates in evaluating and monitoring new manufacturing technologies (e.g., additive manufacturing, automation) for cost and feasibility impacts. Selects and optimizes process assumptions in cost models based on product design, material, volume, and supplier capabilities. Assesses alternative manufacturing routes by comparing cost, quality, lead time, and scalability to support sourcing and design decisions. Manufacturing SafetyKnowledge of manufacturing safety; ability to identify work-related hazards and perform necessary activities to meet regulatory requirements for the safety and protection of workers, environment and site. Level Extensive Experience: Consults on the use of new tools and techniques for safety protection. Performs safety inspections to assure compliance with OSHA requirements. Designs and implements emergency response processes and procedures. Promotes workplace safety among supervisors and workers; communicates safety rules and regulations. Assesses and reports unusual or new safety hazards or violations; initiates corrective action. Ensures that all employees and contractors comply with relevant safety policies and regulations. Manufacturing Standards, Procedures and PoliciesKnowledge of organizational standards, procedures and policies in manufacturing activities; ability to plan, guide, and monitor manufacturing processes for compliance. Level Extensive Experience: Advises on the integration of manufacturing standards into cost models to ensure compliance and consistency. Establishes controls to monitor adherence to manufacturing and sourcing standards in cost analysis. Collaborates with engineering, procurement, and quality teams to align cost models with organizational and industry standards. Ensures cost modeling practices reflect current policies and are effectively communicated across functions. Relocation is available for this position. Posting Dates: July 8, 2025 - July 17, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

As a Data Modeller specializing in GCP and Cloud Databases, you will play a crucial role in designing and optimizing data models for both OLTP and OLAP systems. Your expertise in cloud-based databases, data architecture, and modeling will be essential in collaborating with engineering and analytics teams to ensure efficient operational systems and real-time reporting pipelines. You will be responsible for designing conceptual, logical, and physical data models tailored for OLTP and OLAP systems. Your focus will be on developing and refining models that support performance-optimized cloud data pipelines, implementing models in BigQuery, CloudSQL, and AlloyDB, as well as designing schemas with indexing, partitioning, and data sharding strategies. Translating business requirements into scalable data architecture and schemas will be a key aspect of your role, along with optimizing for near real-time ingestion, transformation, and query performance. You will utilize tools like DBSchema for collaborative modeling and documentation while creating and maintaining metadata and documentation around models. In terms of required skills, hands-on experience with GCP databases (BigQuery, CloudSQL, AlloyDB), a strong understanding of OLTP and OLAP systems, and proficiency in database performance tuning are essential. Additionally, familiarity with modeling tools such as DBSchema or ERWin, as well as a proficiency in SQL, schema definition, and normalization/denormalization techniques, will be beneficial. Preferred skills include functional knowledge of the Mutual Fund or BFSI domain, experience integrating with cloud-native ETL and data orchestration pipelines, and familiarity with schema version control and CI/CD in a data context. In addition to technical skills, soft skills such as strong analytical and communication abilities, attention to detail, and a collaborative approach across engineering, product, and analytics teams are highly valued. Joining this role will provide you with the opportunity to work on enterprise-scale cloud data architectures, drive performance-oriented data modeling for advanced analytics, and collaborate with high-performing cloud-native data teams.,

Key Responsibilities 2-4 years of relevant experience in SOP drafting for business processes Process Mapping: Documenting current processes to identify inefficiencies and improvement areas Process Redesigning: Reengineering workflows for enhanced efficiency and performance Process Flow Development: Creating clear and logical visualizations of business processes Process Transformation: Leading or supporting initiatives aimed at improving business performance through process optimization Must possess in-depth process knowledge and the ability to assess processes, identify inefficiencies, and propose improvements against industry benchmarks. Prior experience in drafting To be SOP documentation is essential Stakeholder Communication: Strong communication skills to interact with cross-functional teams and present findings effectively Flexibility to Travel: Open to travel for client engagements or project-related needs Prior experience in consulting or internal transformation teams is an advantage Familiarity with process modeling tools (e.g., Visio, Lucidchart, ARIS) is a plus Key Personal Attributes Excellent analytical, interpersonal, communication and presentation skills. Excellent time management skills. Flexibility to travel to, and work in, other locations (as and when required) (Immediate joiners preferred)

Overview Enterprise Data Operations Analyst Job OverviewAs an Analyst, Data Modeling , your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics . The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks , Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/ modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives , maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications Qualifications 5+ years of overall technology experience that includes at least 2+ years of data modeling and systems architecture. Around 2+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 2+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ , and Great Expectations. Experience building/ operating highly available , distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake . Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI ).

Overview As Senior Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data str/cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 8+ years of overall technology experience that includes at least 4+ years of data modeling and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).