5 Physical Modeling Jobs

We are seeking a highly skilled and experienced Azure Data Engineer to join our dynamic team in Chennai. The ideal candidate will have strong expertise in building, maintaining, and optimizing scalable data pipelines and architectures on Azure. You will collaborate with cross-functional stakeholders to deliver enterprise-grade data solutions that enable advanced analytics and business intelligence. Key Responsibilities Design, develop, and optimize scalable and reliable data pipelines using Azure Data Factory (ADF), Databricks, PySpark, and SQL. Implement data ingestion, transformation, cleansing, and integration solutions from multiple structured and unstructured data sources. Design and implement data models to support reporting and analytics, ensuring high performance, scalability, and data accuracy. Collaborate with data architects, analysts, and business stakeholders to translate requirements into end-to-end data solutions. Manage, monitor, and enhance data workflows for performance and cost efficiency within Azure cloud environments. Advocate and enforce best practices for coding, performance optimization, version control, and data governance. Troubleshoot and resolve issues in production data pipelines to maintain smooth business operations. Mandatory Skills Python, PySpark, SQL advanced proficiency in scripting, querying, and data transformation. Hands-on expertise with Azure services including Azure Data Factory (ADF), Databricks, Azure Storage, Synapse, and other cloud-native data services. Strong understanding and practical experience in Data Modelling (Dimensional, Relational, and Cloud-native models). Proven experience in developing ETL pipelines and large-scale data integration solutions. Excellent problem-solving skills with ability to work independently and in collaborative teams. Preferred Skills (Good to Have) Knowledge of CI/CD pipelines, DevOps for Data (Azure DevOps, GitHub Actions). Familiarity with Delta Lake, Lakehouse architecture, and modern data platforms. Exposure to performance tuning of PySpark and SQL queries. Strong communication and stakeholder engagement skills. Candidate Requirements 6 9 years of professional experience in Data Engineering, with at least 3+ years working on Azure cloud data services. Must be available to join immediately. Based in or willing to relocate to Chennai. Kindly acknowledge the mail with the below details and acceptance for the above Job description! Name: Contact Number: Primary Email: Date of Birth (DOB): PAN Number (Mandatory): Education: Current Organization - Payroll : Total IT Experience & Relevant Exp: Notice Period : Current CTC (Fixed + Variable): Expected CTC (Fixed): Counter Offer Details With DOJ: Current Work Location: Preferred Work Location: For Queries: Sanjeevan Natarajan sanjeevan.natarajan@careernet.in

Job Title: Azure Data Tech Lead & Data Architect Role Overview Lead the design, development, and maintenance of advanced data solutions on the Azure platform, combining hands-on architecture, technical leadership, and project guidance. Collaborate closely with stakeholders, mentor data engineering teams, and drive the strategic adoption of Azure data technologies. Key Responsibilities Architect and implement scalable data solutions using Azure services (Azure Data Factory, Azure Synapse, Databricks, ADLS, Azure SQL Database, Power BI) Develop conceptual, logical, and physical data models, ensuring optimal data storage, retrieval, and governance. Lead workshops and technical sessions to define requirements, data ingestion, validation, modeling, visualization, and analytics. Manage and mentor data engineers and technical teams, guiding project execution and solution delivery. Oversee data pipeline creation, performance optimization, and troubleshooting for Azure data systems. Drive data governance, security, and compliance initiatives aligned with organizational standards. Collaborate with business and IT stakeholders, translating business objectives into data architecture and actionable solutions. Support project estimation, planning, and agile delivery of complex Azure data projects. Proactively optimize cost, resources, and scalability of data infrastructure. Qualifications Bachelors or Masters degree in Computer Science, Information Technology, or related discipline. 68+ years experience in data engineering, architecture, or Azure data platform roles. Proven expertise in Azure cloud data services (ADF, ADLS, AzureSQL, Synapse, Databricks, Power BI). Hands-on experience with data modeling, ETL/ELT pipelines, data warehousing, and big data technologies. Strong leadership, project management, and mentoring experience. Effective communicator able to engage both technical and non-technical stakeholders. Experience with on-premises Microsoft technologies (SQL Server, SSIS, SSAS) is a plus. Azure data certifications (e.g., DP200, DP201) preferred. Skills Azure Data Factory, Synapse, Databricks, ADLS, Azure SQL, Power BI. Data architecture, warehousing, governance, and compliance. Leadership, mentoring, and cross-team collaboration. Data pipeline design and troubleshooting, cost optimization. Scripting (Python, PowerShell), and database connectivity. Kindly acknowledge the mail with the below details and acceptance for the above Job description! Name: Contact Number: Primary Email: Date of Birth (DOB): PAN Number (Mandatory): Education: Current Organization - Payroll : Total IT Experience & Relevant Exp: Notice Period : Current CTC (Fixed + Variable): Expected CTC (Fixed): Counter Offer Details With DOJ: Current Work Location: Preferred Work Location: For Queries: Sanjeevan Natarajan sanjeevan.natarajan@careernet.in

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system. There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system. Preferred technical and professional experience Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations.

Role - Data Modeler/Senior Data Modeler Exp - 5 to 12 Yrs Locs - Hyderabad, Pune, Bengaluru Position - Permanent Must have skills: - Strong SQL - Strong Data Warehousing skills - ER/Relational/Dimensional Data Modeling - Data Vault Modeling - OLAP, OLTP - Schemas & Data Marts Good to have skills: - Data Vault - ERwin / ER Studio - Cloud Platforms (AWS or Azure)

Job Purpose Leads and supports project engineering, new product/technology development, product improvement and product standardization, and product qualification projects depending upon the assigned group. Serves as a technical point of contact for assigned work package scope, and may serve as a focal point for all communications related to scope. Develops product design, geometry standards documentation and product qualification requirements. Creates, reviews/approves part reports, drawings, engineering specifications and standards. Defines product quality, material, welding, and NDE requirements. Supports and manage project schedule and deliverables. Provides Management with technical assistance and work progress updates as requested. Mentors and provides technical guidance to Product Engineers and Designers/Drafters. Works collaboratively to accomplish project tasks. Provides independent review and approval of work packages. Provides vendors technical assistance and builds strong working relationships. Works to the requirements of industry code related to subsea production systems, TechnipFMC standards and client specifications. Adheres to all relevant work instructions and design guidelines, Clearly demonstrates creativity and innovation in finding solutions and alternatives. Develops unique solutions for complex technical problems that may include the design of new products/systems or the development of solutions having few or no precedents. This is an individual contributor position. The role is responsible for executing activities assigned by the manager, and execute it with the assigned team Job Description Consistently leads work packages and resources on a project basis. Ensures that project members understand business goals and creates energy and action toward those goals. Encourages and empowers others to achieve. Reviews and approves engineering designs (i.e. drawings, part reports, specifications, etc.) of existing and new technology or projects. Ensures that assignments meet standards and performance requirements within area of expertise. Actively manages and provides timely updates to engineering schedule, and engineering updates to the project and engineering management team. Prepares documentation, information, and communications such as ECN (Engineering Change Notices),part reports, and engineering specifications and ensures conformance to all policies and procedures related to engineering functions, labor reporting and systems reporting. Facilitate RCAs and provide design solutions to correct non-conformances while taking into account safety, quality, schedule, and cost. Support Quality Notification dispositions and supply chain issues as they arise. Provide expert technical support to equipment manufacturing, fabrication, assembly, Factory acceptance test (FAT) and System integration test (SIT) activities. Works with other engineering teams to ensure good communication of work load requirements and consistent approaches to analytical models and methodologies. Works with technical authorities in the company to define technical requirements which are appropriate for the products and consistent with industry practices. Finds creative solutions to multi-faceted and/or time-sensitive, complex problems. Identifies and utilizes available technical resources throughout TechnipFMC and externally. Consults with other departments on equipment designs. Anticipates potential problems and proactively solves complex problems through creative thinking, using internal and external resources. Prepares technical data and papers for sales personnel, customers, and publications. Makes presentations to customer management groups. Actively increases industry knowledge base through technical publications, forums, committee participation, trade shows, etc. Assists engineering manager with any requested technical and engineering related tasks You are meant for this job if: Degreed Mechanical Engineer with at least 6-years of Engineering experience in the Subsea Production System engineering, reduced to 4-years for Masters/PhD candidates. Demonstrated experience in supporting engineering for subsea projects constrained by safety, quality, delivery, and cost requirements. Experience in reviewing & approving engineering designs, documents, layouts, calculations and interpreting FEA/ structural analysis results. Strong knowledge of engineering discipline and physical modeling techniques (solid mechanics, fluid dynamics, heat transfer) is required. Experience conducting design analysis - hoop stress, flexibility, buckling, burst, fatigue, etc. Work experience must include experience with various ASME, API, NORSOK, and DNV Codes and Standards as it relates to subsea equipment design and manufacturing. Exposure to various manufacturing processes - forging, hot and cold extrusion, cladding, HIP, induction bending etc Exposure to welding codes and practices - ASME IX and API 1104. Exposure to NDE codes and practices - UT, PAUT, PT, RT, MPI per ASME V. Ability to manage the engineering projects within specified schedule and budget. Demonstrated organization and project planning skills. Accuracy, dependability, ability to manage schedule and prioritize work for self and others in team. Ability to work independently and as a part of a technical team - a self-motivated, self-starter. Ability to make independent system recommendations utilizing advanced analytical and problem solving skills. Strong written and verbal communication skills in English with ability to effectively transfer subject matter expertise. Ability to coach and mentor others