9 Validation Processes Jobs

As a Senior Product Design Engineer at our Noida location, you will be responsible for leading the design and development of plastic components and assemblies for automotive applications. Your expertise in Catia V5 will be crucial as you create 3D models, 2D drawings, and detailed assembly drawings. Your proactive problem-solving skills will be essential as you manage multiple tasks in a fast-paced, collaborative environment. Your key responsibilities will include designing plastic components in 3D, developing 2D drawings, and creating detailed assembly drawings with proper annotations and manufacturing considerations. You will also be tasked with conducting A-Class surface analysis, performing tooling feasibility assessments, and selecting appropriate engineering-grade plastic materials for automotive applications. Additionally, you will apply GD&T principles to ensure alignment with customer requirements and engineering standards. To be successful in this role, you should have a B.Tech degree with 6 years of post-qualification experience in the automotive industry or a Diploma in Mechanical Engineering with 7 years of relevant experience. Proficiency in Catia V5, strong knowledge of Design for Assembly (DFA) and Design for Manufacturing (DFM), and experience in DFMEA and GD&T practices are required. Familiarity with PLM systems, the ability to interpret FEA and Mold Flow reports, and experience with product testing and validation processes will also be beneficial.,

The Senior Developer Visual Analytics role in Bangalore requires 4-7 years of experience in PowerBI development, maintenance, and troubleshooting. As a Senior Developer, you will be responsible for ensuring the smooth functioning of PowerBI dashboards and analytics solutions. Your primary focus will be on maintenance, monitoring, and implementing small-scale improvements to enhance system reliability and efficiency. You will conduct daily checks on scheduled data processes to ensure timely delivery and accuracy. Additionally, you will verify PowerBI dashboards and analytics tools before HQs business hours to preempt issues and collaborate with backend teams to monitor data pipelines and flag discrepancies. In the event of data accuracy, completeness, or visualization errors in PowerBI dashboards, you will address and resolve these issues promptly. You will also investigate and fix dashboard performance issues such as slow load times and broken visuals, escalating complex problems to the Lead Developer when necessary. As part of your responsibilities, you will perform small-scale updates to existing PowerBI dashboards, ensuring they adhere to global design standards and undergo proper testing. Furthermore, you will assist in updating documentation such as user guides and data dictionaries to facilitate better adoption. Collaboration with the Lead Developer is crucial in aligning on fixes and improvements. You will also share learnings and PowerBI best practices within the teams to promote knowledge sharing. The ideal candidate for this role should have hands-on experience with data modeling, DAX, Power Query, SQL, and data pipelines. Proficiency in PowerBI, familiarity with data quality checks, and basic SQL querying skills are essential technical skills required. Additionally, strong problem-solving abilities, attention to detail, and good communication skills to collaborate effectively with global teams are desired soft skills. An educational background in Information Technology, Data Science, Computer Science, Business Analytics, or a related field such as a University/Engineering degree is preferred for this position. Experience with Tableau is a plus.,

You should have proven experience in leading and delivering life insurance policy conversion projects or similar initiatives. Your role will involve overseeing the entire data conversion lifecycle, from planning and design to execution, testing, and go-live, ensuring projects stay on track and within budget. Working closely with client stakeholders to understand their data requirements, facilitate design sessions, and address their concerns throughout the project lifecycle is crucial. Your strong understanding of data conversion processes, data structures, and mapping techniques used in life insurance will be essential. You will be responsible for managing and mentoring a team of data conversion consultants, providing technical guidance, coaching, and performance management. Implementing and maintaining data quality controls and validation processes to ensure the accuracy and completeness of converted data is a key aspect of the role. Effective communication of project status, risks, and issues to stakeholders, both internally and externally, is required. You will need to identify and resolve technical issues and challenges related to data conversion while managing risks, blockers, and challenges proactively to ensure timely delivery on commitments and maintaining full stakeholder transparency. Identifying and implementing process improvements to enhance efficiency and effectiveness of data conversion projects will be part of your responsibilities. The role also involves identifying process and procedure enhancements to drive efficiency and improve customer satisfaction. Your experience should include configuring new product launches in the Life and Annuity Domain, enhancing existing products, and eagerness to learn new digital technologies and cloud platforms while suggesting better ways of doing things. Experience in SDLC methodologies is also expected. You should have at least 15+ years of work experience in successfully delivering complex policy conversion projects end to end. A strong understanding of data conversion processes, data structures, data mapping, ETL tools, and database management systems is required. Knowledge of the Life & Annuity Insurance domain in a TPA environment is a must. Additionally, familiarity with project management methodologies (Agile/Waterfall), excellent written and verbal communication skills, the ability to effectively communicate with both technical and non-technical audiences, and a strong understanding of data quality principles and best practices are essential. Experience with life insurance systems, regulations, and industry standards, as well as project management methodologies and tools, will be beneficial.,

You should have proven experience in leading and delivering life insurance policy conversion projects or similar initiatives. It will be your responsibility to oversee the entire data conversion lifecycle, from planning and design to execution, testing, and go-live, ensuring that projects stay on track and within budget. Working closely with client stakeholders will be crucial as you understand their data requirements, facilitate design sessions, and address their concerns throughout the project lifecycle. A strong understanding of data conversion processes, data structures, and mapping techniques used in life insurance is essential for this role. You will be expected to manage and mentor a team of data conversion consultants, providing technical guidance, coaching, and performance management. Implementing and maintaining data quality controls and validation processes to ensure the accuracy and completeness of converted data will also be part of your responsibilities. Effective communication of project status, risks, and issues to stakeholders, both internally and externally, is key. You should be able to identify and resolve technical issues and challenges related to data conversion while managing risks, blockers, and challenges proactively to ensure timely delivery on commitments and maintain full stakeholder transparency. Identifying and implementing process improvements to enhance efficiency and effectiveness of data conversion projects will be encouraged. Moreover, you should have experience in configuring new product launches in the Life and Annuity Domain, as well as enhancing existing products. An eagerness to learn new digital technologies and cloud platforms is highly valued, along with the ability to suggest better ways of doing things in the platform. Familiarity with SDLC methodologies is also required. In terms of experience and skills, you should have at least 15 years of work experience in the successful delivery of complex policy conversion projects end to end. A strong understanding of data conversion processes, data structures, data mapping, ETL tools, and database management systems is essential. Knowledge of the Life & Annuity Insurance domain in a TPA environment is a must, as well as experience with project management methodologies such as Agile/Waterfall. Excellent written and verbal communication skills are necessary, including the ability to effectively communicate with both technical and non-technical audiences. You should also be able to identify and resolve technical issues and challenges related to data conversion, while possessing a strong understanding of data quality principles and best practices. Familiarity with life insurance systems, regulations, and industry standards, as well as experience with project management methodologies and tools, will be beneficial for this role.,

You are invited to join Qualcomm India Private Limited as an IP Design Engineer within the Engineering Group > Systems Engineering team. As a highly skilled professional with a background in microarchitecture design and RTL design for complex IPs, you will play a key role in the development of innovative IP solutions, ensuring high-quality and reliable designs. Your main responsibilities will include leading the design and development of IP solutions from scratch, collaborating with cross-functional teams to define design specifications, ensuring design quality and performance through PLDRC and synthesis processes, maintaining detailed documentation, troubleshooting complex design issues, and staying up-to-date with industry trends and best practices. To excel in this role, you should possess 7-10 years of experience in IP design, with a focus on microarchitecture and RTL design, extensive hands-on experience with AMBA or PCIe protocols, proficiency in PLDRC and synthesis tools, a strong understanding of digital design principles, experience with design verification and validation, excellent problem-solving skills, and the ability to work independently and in a team environment. A Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field is required. Preferred skills include experience with industry standard design flow tools, knowledge of ASIC design flows, familiarity with scripting languages like Python for automation, and experience with version control systems like Git and clearcase. Qualcomm is an equal opportunity employer committed to providing accommodations for individuals with disabilities during the application/hiring process. If you require an accommodation, please contact disability-accommodations@qualcomm.com. Qualcomm expects its employees to adhere to all applicable policies and procedures to protect confidential and proprietary information. Qualcomm's Careers Site is exclusively for individuals seeking job opportunities at Qualcomm. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes through this site. Unsolicited submissions will not be accepted. For more information about this role, please contact Qualcomm Careers.,

As a senior analyst in the Data Processing team, you will be responsible for managing quantitative data processing tasks to ensure the successful completion of global market research studies. Your primary duties will involve executing programming, data management, cleaning, coding, and validation processes with a focus on achieving high accuracy and compliance with both internal and regulatory standards. It will be essential for you to handle multiple projects simultaneously, working closely with team leads and research teams to meet deadlines while upholding data quality standards. Your responsibilities will include managing all aspects of data processing for complex global market research projects, coordinating projects by collaborating with research teams, designing data processing plans, and tracking project timelines to ensure high-quality deliverables within established schedules. You will also be involved in survey design and tool evaluation, data validation and quality assurance, coding framework development, internal function development, communication, and teamwork. To be successful in this role, you should possess an undergraduate or advanced degree in mathematics, IT, or a related discipline, along with at least 2 years of relevant professional experience in a corporate/business, primary market research, or consulting environment. Hands-on experience in data collection techniques, a strong understanding of market research methodology, and proficiency in data processing tools and languages such as SPSS, SAS, R, Python, and SQL will be required. Additionally, familiarity with data visualization tools like Tableau and Power BI is essential, while knowledge of survey tools and platforms such as Qualtrics and SurveyMonkey would be advantageous. Having a growth mindset, customer and quality centricity, strong communication skills, effective time management and organization, as well as a results-oriented approach will be crucial for excelling in this role. You will also be expected to actively contribute to the broader business mission, vision, purpose, and the Prescient brand, while supporting social and environmental initiatives within the communities where we operate. For more information, please visit us at www.prescienthg.com.,

Performing scientific review of customer documentation to determine relevant internal and external testing capabilities Partners with external labs to explore opportunities to broaden test menu capabilities Demonstrates advanced domain knowledge to identify opportunities for process improvement and provide guidance in troubleshooting Works cross functionally with business development to develop proposal documentation dictating testing locations, testing parameters, timelines and logistics Works cross functionally with Project Services on post award changes to testing parameters, logistics, and protocols Partners with relevant labs and SME's to determine validation feasibility for new testing protocols Contributes to CAPA investigations, deviations, and resolution Provides guidance and mentorship to junior level staff May participate in training of junior level staff Supports initiatives related to 6 sigma, quality, and safety Requirements. Bachelors degree or equivalent combination of experience. 4 years of experience in a regulated lab environment. Strong knowledge of clinical lab testing terminology, processes, and equipment. Sound understanding of validation processes within assigned technical area. Understanding of the clinical trial process and dependencies. Good computer skills including proficiency with Microsoft Excel, PowerPoint and Word. Effective organizational and interpersonal skills. Effective communication and presentation skills. Capable of handling multiple tasks simultaneously. Strong attention to detail and accuracy. Ability to establish and maintain effective working relationships with coworkers, managers and clients. Demonstrated everyday leadership skills. Ability to synthesize information from various topics. Ability to bring projects and deliverables to completion under timeline expectations. has context menu.

Performing scientific review of customer documentation to determine relevant internal and external testing capabilities Partners with external labs to explore opportunities to broaden test menu capabilities Demonstrates advanced domain knowledge to identify opportunities for process improvement and provide guidance in troubleshooting Works cross functionally with business development to develop proposal documentation dictating testing locations, testing parameters, timelines and logistics Works cross functionally with Project Services on post award changes to testing parameters, logistics, and protocols Partners with relevant labs and SME's to determine validation feasibility for new testing protocols Contributes to CAPA investigations, deviations, and resolution Provides guidance and mentorship to junior level staff May participate in training of junior level staff Supports initiatives related to 6 sigma, quality, and safety Requirements. Bachelors degree or equivalent combination of experience. 4 years of experience in a regulated lab environment. Strong knowledge of clinical lab testing terminology, processes, and equipment. Sound understanding of validation processes within assigned technical area. Understanding of the clinical trial process and dependencies. Good computer skills including proficiency with Microsoft Excel, PowerPoint and Word. Effective organizational and interpersonal skills. Effective communication and presentation skills. Capable of handling multiple tasks simultaneously. Strong attention to detail and accuracy. Ability to establish and maintain effective working relationships with coworkers, managers and clients. Demonstrated everyday leadership skills. Ability to synthesize information from various topics. Ability to bring projects and deliverables to completion under timeline expectations. has context menu.

Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and implement data models and algorithms to support business decisions. Collaborate with cross-functional teams to design and implement data-driven solutions. Create data visualizations and reports to communicate insights to stakeholders. Design and implement data quality checks and validation processes. Stay up-to-date with industry trends and emerging technologies in data analysis. Job Requirements Strong proficiency in data analysis tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills. Experience working with large datasets and developing predictive models. Familiarity with data visualization tools and techniques.