Job description 20+ years of relevant Experience with more than 15 years in a reputed organization in a similar role. Certifications CSWIP or equivalent welding certification is must Proficiency in Welding, Heat treatment and metallurgy is a must. Level II Certifications in PT, MT, RT and UT under ASNT is must. Mandatory Requirements: - Exposure in Pressure vessel fabrication as per ASME, EN and other international codes Exposure in inspecting ASME Code Stamped equipment. In-depth knowledge of fabrication practices, QC methodologies, witnessing equipment pressure testing and final inspection Should be conversant with Heat Treatment and related requirements for pressure vessels and heat exchangers as per ASME / API. In-depth knowledge and experience in Quality Control aspects of Raw Materials, Receiving Inspection, Fabrication Inspection, Final Inspection and Documentation Experience of working on materials like Low alloy steels, stainless steels, Inconel etc Should be conversant with ISO 9001 Quality Systems Requirements. Role: Quality Manager / Supervisor Industry Type: IT Services & Consulting Department: Quality Assurance Employment Type: Full Time, Permanent Role Category: Business Process Quality Education UG: Any Graduate PG: Any Postgraduate Key Skills FabricationHeat treatmentISO 9001Pressure vesselsQuality systemsASNTFinal inspectionManager Quality ControlHeat exchangersMetallurgy

Job description We are seeking an experienced ETL Architect to design, develop, and optimize data extraction, transformation, and loading (ETL) solutions and to work closely with multi-disciplinary and multi-cultural teams to build structured, high-quality data solutions. The person may be leading technical squads. These solutions will be leveraged across Enterprise , Pharma and Diagnostics solutions to help our teams fulfill our mission: to do now what patients need next. This role requires deep expertise in Python, AWS Cloud, and ETL tools to build and maintain scalable data pipelines and architectures. The ETL Architect will work closely with cross-functional teams to ensure efficient data integration, storage, and accessibility for business intelligence and analytics. Key Responsibilities ETL Design Development: Architect and implement high-performance ETL pipelines using AWS cloud services, Snowflake, and ETL tools such as Talend, Dbt, Informatica, ADF etc Data Architecture: Design and implement scalable, efficient, and cloud-native data architectures. Data Integration Flow: Ensure seamless data integration across multiple source systems, leveraging AWS Glue, Snowflake, and other ETL tools. Performance Optimization: Monitor and tune ETL processes for performance, scalability, and cost-effectiveness. Governance Security: Establish and enforce data quality, governance, and security standards for ETL processes. Collaboration: Work with data engineers, analysts, and business stakeholders to define data requirements and ensure effective solutions. Documentation Best Practices: Maintain comprehensive documentation and promote best practices for ETL development and data transformation. Troubleshooting Support: Diagnose and resolve performance issues, failures, and bottlenecks in ETL processes. Required Qualifications Education : Bachelors or masters degree in Computer Science, Information Technology, Data Engineering, or related field. Experience : 6+ years of experience in ETL development, with 3+ years in an ETL architecture role . Expertise in Snowflake or any MPP data warehouse (including Snowflake data modeling, optimization, and security best practices). Strong experience with AWS Cloud services, especially AWS Glue, AWS Lambda, S3, Redshift, and IAM or Azure/GCP cloud services. Proficiency in ETL tools such as Informatica, Talend, Apache NiFi, SSIS, or DataStage . Strong SQL skills and experience with relational and NoSQL databases. Experience in API integrations Proficiency in scripting languages ( Python, Shell, PowerShell ) for automation. Prior experience in Pharmaceutical or Diagnostics or healthcare domain is a plus. Soft Skills Strong analytical and problem-solving abilities. Excellent communication and documentation skills. Ability to work collaboratively in a fast-paced, cloud-first environment . Preferred Qualifications Certifications in AWS, Snowflake, or ETL tools . Experience in real-time data streaming, microservices-based architectures, and DevOps for data pipelines . Knowledge of data governance, compliance (GDPR, HIPAA), and security best practices . Role: Data Science & Machine Learning - Other Industry Type: Biotechnology Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationData modelingDatastageInformaticaApacheSSISBusiness intelligenceTroubleshootingSQLPython

Job description Mechanical design changes of a module/sub system/ system Plastics and sheet metal components/sub-assemblies design and development DFM and DFA activities, conduct reviews with suppliers and optimize design for cost reduction Create DFMEA and identify relevant product risks Apply GDT and perform Tolerance stack -up analysis for components/sub system Identify suitable materials for designs and develop manufacturing specifications Performing hand calculations for the design feasibility Create 3D models, assembly, detailing including drawing conversions generating BoM Work with supplier, procurement engineer to complete the prototype and qualifications First Article Inspections and wherever required perform measurements Requirements Design, unit level verification testing and integration of unit in accordance with higher-level requirement and design specifications/architectures Reliability and serviceability of the system/sub system/component Complying to all applicable medical standards/regulations such as ISO, FDA internal QMS. Working closely with cross functional team (RD, Quality, Regulatory, Procurement, Operations, Supply Chain, Service, Marketing) and manage stakeholders for projects Provide technical support to suppliers other departments to fulfill project/production needs Support localization activities and engineering change management Manage the obsolescence, resolve production issues and customer complaints Coaching and supporting junior team members You are a part of A high-impact, global organization within Philips that works across all modalities - The Supplier Transfer Excellence Team (STET). STET has been established as an entrepreneurial organization that focuses on fast-paced, high-quality portfolio transfers within the Philips global supply base to mitigate risk maximize profitability. Youre the right fit if you have B.E/B.Tech/M.Tech in Mechanical /Automobile/Industrial Engineering 8+ years of relevant experience in design and development of complex electromechanical products systems (on end-to-end medical device or equivalent Automobile/Industrial products) Strong knowledge of plastics, sheetmetal, structural design, manufacturing processes, and CAD (3D modeling 2D drawings). Experience in SolidWorks, FEA and mold flow analysis is preferred. Good at hand calculation of the design Experience in DFM/DFMEA/Six sigma and design/quality tools and processes. Working knowledge of IEC 60601 medical standards are preferred. Fast learner and interest to learn new technologies/business/system System thinking mindset and domain expertise in the related area Quality mindset in design and documentation Excellent communication skills Team player Mindset to simplify and reach to solutions with speed Disciplined team worker, ability to work independently Strong English written and verbal communication skills require Role: Design Engineer Industry Type: Medical Services / Hospital Department: Research & Development Employment Type: Full Time, Permanent Role Category: Engineering & Manufacturing Education UG: B.Tech/B.E. in Any Specialization PG: M.Tech in Any Specialization Key Skills ProcurementPrototypeISOSheet metalIndustrial productsCADHealthcareSolid worksTechnical supportSix sigma

Job description We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist. In this role, you will: Collaborate with the Product Owner to manage and prioritize analytics-related backlog items, ensuring readiness and alignment with business goals. Refine and groom analytics stories, focusing on data pipelines, dashboards, and model requirements. Identify and raise RAAID items related to data quality, integration, and analytics deliverables. Update stakeholders on progress against milestones, emphasizing analytics metrics and deliverables. Facilitate Agile ceremonies with a focus on analytics tasks, ensuring alignment on data dependencies and blockers. Work with cross-functional teams to resolve impediments related to data access, tooling, or infrastructure. Monitor analytics deliverables to ensure high-quality outputs and adherence to best practices. Contribute to testing strategies, including automation for data pipelines and validation of analytics outputs. Ensure technical solutions for analytics (e. g. , models, visualizations) are reviewed and approved. Produce JIRA-based reports on analytics tasks, identifying trends and opportunities for improvement. Share analytics best practices and promote continuous improvement within the team and across IT Surveillance. Support the adoption of scalable and efficient analytics tools and frameworks. Requirements To be successful in this role, you should meet the following requirements: Must have: 6-11 years of relevant experience. Strong markets knowledge across a range of products: FX, Equities, Equity Derivatives, Fixed Income, Futures, Swaps, Energy, Metals, with the ability to analyze and interpret market data to support business decisions. Excellent Front to Back (full) Trade Lifecycle knowledge, including the ability to track and analyze trade data for reporting and insights. Practical experience in functional analysis and design, utilizing methodologies like Use Cases and Business Process Modelling, with a focus on analyzing data flows and system interactions in both Waterfall and Agile environments. Proficient in requirements elicitation, functional design, and problem-solving, with a structured approach to analyzing data requirements and ensuring data accuracy. Ability to translate business and data requirements into clear, actionable specifications for developers, ensuring alignment with analytics objectives. Expertise in Agile engineering practices (e. g. , Scrum, Kanban, LEAN), with experience in managing analytics tasks and deliverables within Agile frameworks. Hands-on experience with JIRA and Confluence for managing requirements, tracking analytics tasks, and documenting data workflows. Good knowledge of XML for mapping, linking, and transforming data across systems, ensuring data consistency and integrity. Accountability for delivery, taking ownership of analytics tasks and ensuring timely resolution with minimal supervision. Strong communication and interpersonal skills to collaborate with global stakeholders, present data-driven insights, and manage relationships effectively. Ability to analyze, visualize, and interpret data to support decision-making, leveraging analytics tools and techniques for data analysis and reporting. Good to have: Have a postgraduate degree in Finance / CFA / FRM Some experience in trade surveillance, regulatory reporting and market abuse Disciplined Agile and SAFE framework experience Experienced in working with resources in geographically dispersed teams, appreciating and respecting local cultures Front Office IT experience An appreciation and experience of working on projects that are driven by Regulatory Mandate, and be able to articulate the challenges that such projects often encounter, and the ways in which they ve been able to achieve success in such areas Basic knowledge of Unix, SQL (or any database), Flat file based manual testing Role: Technical Lead Industry Type: Consumer Electronics & Appliances Department: Engineering - Software & QA Employment Type: Full Time, Perm

Job description Manage the daily activity of producers to ensure strong pipeline. Coach guide agents to cross sell and grow their business Make individual agents grow at least by 20% Year On Year Ensuring IRDA compliance regarding licensing commission payments to agents Responsible for ensuring quality of applications Support/guide the producer in all activities related policy services To recruit and appoint agents for Gen Ins business Train agents on products, process and USP s of Co. Key Accountabilities/ Responsibilities Recruitment To identify a person who is gives us time to do a motor insurance business. Attempt to competition motor agents to associate with us Input Activities: Name gathering activities, career orientation program with TATAAIG like RnR, Club Membership, Quarterly contest, Educational programs etc. Activaisations To do engagement activities on daily basis for producers. Weekly and Monthly development sessions for producers. Float all contest and club convention on monthly and weekly basis to producers. Sales Support like endorsement, form filling, portal training and other operation related activities. Monthly quarterly and yearly goal settings with producers. Stakeholder interfaces Internal Stakeholders CSM - For Business Sourcing. ZSM - For Approvals. HR Team - For Recruitments Incentives Operations Team - For Policy Binding, Cheque Receipts. IT Team - For IT Server related issues. External Stakeholders Agents - Regarding New Tie-Ups Regular Visits. Experience 1-2 years experience in any General Insurance company. Education Graduate from Any Discipline with Prior Experience Role: Regional Sales Manager (B2C) Industry Type: Insurance Department: Sales & Business Development Employment Type: Full Time, Permanent Role Category: Retail & B2C Sales Education UG: Any Graduate PG: Any Postgraduate Key Skills Motor insuranceTrainingIRDAComplianceChannel salesUPSHRLicensingSales supportRecruitment

Job description Role & responsibilities : Acts with integrity, honesty, and knowledge that promote the culture and values of TATA Starbucks. Anticipates customer and store needs by constantly evaluating environment and customers for cues. Maintains a calm demeanour during periods of high volume or unusual events to keep store operating to the prescribed standard so as to set a positive example for the shift team. Assists with new partner training by positively reinforcing successful performance and giving respectful and encouraging coaching as needed. read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Inventory Management Customer ServiceShift ManagementRosteringCash HandlingCustomer ComplaintsCustomer Management

Job description Roles Responsibilities : Data Quality, Modelling Design Thinking Lead, mentor, and inspire a team of data analysts and engineers, fostering a collaborative, innovative, and high-performance culture. Oversee the design, implementation, and continuous improvement of data quality models using SAP MDG, Azure, and Power Platform technologies. Guide the team to develop appropriate conceptual data models foundational to physical data model creation. Engage closely with technology and business stakeholders to gather requirements, identify improvement areas, and clearly articulate the business value of data quality use cases including cleansing, validation, and enrichment. Demonstrate deep understanding of the Data Quality value chain from Critical Data Elements (CDEs) to Data Quality KPIs and how it integrates with overarching Data Governance frameworks. Lead and manage within this context effectively. Facilitate workshops and training sessions to promote data quality awareness, best practices, and a culture of continuous improvement across the organization. Conduct performance evaluations, provide coaching, and identify opportunities for the professional development of team members. Proactively identify and escalate data quality risks or hidden issues to the Data Quality Manager for resolution. Dashboarding Workflow Management Conceptualize, design, and deploy robust data quality dashboards using Power BI to monitor and visualize data health effectively. Develop escalation paths and workflows with alerts that notify process and data owners of unresolved data quality issues, ensuring timely remediation. Collaborate with IT and analytics teams to incorporate cutting-edge technologies such as AI, Machine Learning, and cognitive science to enhance data quality monitoring and automation. Data Quality Improvement Plans Partner with business functions and projects to develop and embed sustainable data quality improvement plans, fostering business ownership and accountability. Define and track measurable targets for data quality maturity, actively monitoring progress and intervening when improvements fall short of expectations. Support data clean-up initiatives that improve the accuracy and reliability of existing data landscapes. Project Delivery Oversight Lead and coordinate Data Quality Analysts in executing data profiling, conversion criteria establishment, and resolution of complex technical and business data quality issues. Own the detailed project delivery plan for multiple concurrent data quality programs, ensuring clarity on roles, responsibilities, and timelines using effective RACI frameworks. Drive cross-functional alignment and successful delivery of data quality objectives within large-scale enterprise programs. Role: Analytics / BI Manager Industry Type: Automobile Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationSAPPublishingData managementMachine learningData qualityProject deliveryContinuous improvementAnalyticsFinancial services

Job description Roles Responsibilities : Data Quality, Modelling Root Cause Analysis Utilize deep expertise in SAP MDG/ECCs and Azure Data Lake (via Databricks) using SQL/Python to perform root cause analysis on assigned data quality use cases. Develop and refine both conceptual and physical data models to automate monitoring of ongoing data quality issues. Facilitate multiple workshops to explore and select the most effective modelling options. Collaborate with business stakeholders (Data Owners and Data Stewards) to profile data, identify quality issue patterns, and assess impacts on critical data elements (CDEs) relevant to each business area. Quantify financial impacts of data quality issues and articulate both quantitative and qualitative business benefits of remediation efforts, managing implementation timelines effectively. Schedule and lead regular working groups with business units to drive progress on root cause analysis (RCA), remediation actions, or to prepare issues for discussion in Data Governance Forums (DGFs). Define business data quality rules that form the basis for KPIs and measures, feeding into dashboards and workflows for continuous monitoring and timely issue escalation. Maintain comprehensive understanding of the data quality value chain, including CDE concepts, issue management, KPIs, and governance. Lead execution of data quality assessments to support process improvements and BAU initiatives. Proactively identify hidden or emerging data quality risks and escalate to Lead/Manager as necessary. Communicate clearly and effectively, articulating complex data quality issues and their business implications to diverse, outward-facing audiences. Dashboarding Workflow Management Support the design, development, and deployment of data quality dashboards using Power BI to provide clear visibility into data health and trends. Establish escalation protocols and construct workflows with alerts that notify process and data owners about unresolved data quality issues, ensuring timely resolution. Collaborate with IT and analytics teams to incorporate advanced technologies such as AI, Machine Learning, and cognitive science to innovate data quality processes. Data Quality Improvement Plans Partner with business functions and projects to create and embed actionable data quality improvement plans, fostering accountability and business ownership. Set clear targets for data quality maturity and monitor progress, intervening proactively when improvements lag expectations. Support ongoing initiatives focused on cleaning and enhancing the existing data landscape. Project Delivery Governance Support Lead and direct Data Quality Analysts in executing profiling, establishing conversion criteria, and resolving complex data quality issues from both technical and business perspectives. Own and produce data quality deliverables aligned with DAS data change methodology and ensure data quality is integrated into Gold and Silver level data change projects. Contribute insights to the development of business cases by quantifying the cost of poor data and the benefits of remediation. Role: Data Science & Analytics - Other Industry Type: Automobile Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills SAPData managementData qualityProject deliveryContinuous improvementFinancial servicesAnalyticsMonitoringSQLCdo

Job description Job Description Are You Ready to Make It Happen at Mondel z International Join our Mission to Lead the Future of Snacking. Make It With Pride. You will develop professional relationships with our customers and optimize base sales, NPD promotions. You will ensure great visibility in retailers and delivery of sales capabilities. Your drive will lead you to deliver the field KPIs and hit your annual objectives How you will contribute You will: Ensure a maximum visual impact and an optimum shelf availability through merchandising techniques. Implement and monitor promotional activities. Point of buying materials placement and implementation. Report on activities. What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Excellent communication and inter-personal skills Solid knowledge about sales and negotiation processes Strong analytical skills Sales experience required, preferably FMCG/CPG Perseverance and attention to details Role: Direct Sales Executive Industry Type: FMCG Department: Sales & Business Development Employment Type: Full Time, Permanent Role Category: Retail & B2C Sales Education UG: Any Graduate PG: Any Postgraduate Key Skills Analytical skillsInterpersonal skillsNPDField salesFMCGSales ExecutiveResearchMerchandisingDistribution networkMonitoring

Job description Role & responsibilities 5 -6 reportees - Area Business Managers and 30 to 35 Medical Representative. Individual MSL coverage of 15-20 doctors. Primary sales budget achievement of 1-1.5 Cr on monthly basis. EAS expenses of team below 1% of the sales Maintain expiry and sales returns below 2% Profitable YPM & growth Preferred candidate profile 7-10 years of experience with minimum 3 years in similar role as a team leader in pharmaceutical industry. Good at People management. Effective communication and analytical skills Effective in decision making Problem solving attitude Role: Regional Sales Manager (B2B) Industry Type: Pharmaceutical & Life Sciences Department: Sales & Business Development Employment Type: Full Time, Permanent Role Category: Enterprise & B2B Sales Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Field Salesteam handling regional managerpharma salessecond line managerregional business managerrbm2nd linePharmaceutical Sales