40 Dq Jobs

****** This is a Contract to Hire Position********* About the Role We are seeking a highly skilled Data Quality & Data Intelligence Specialist with strong hands-on experience in Collibra DQ and DIP platforms. The role will be responsible for ensuring data integrity, accuracy, and consistency across financial datasets, enabling reliable KPI tracking and reporting. This position is critical in maintaining trust in the organizations financial reporting by profiling, monitoring, and improving data quality. Key Responsibilities Conduct data analysis and profiling on large and complex datasets to ensure data integrity and consistency. Configure and apply data quality rules to identify anomalies, outliers, and inconsistencies. Utilize Collibra DQ and DIP tools for end-to-end data quality management and intelligence. Detect and report trends, shapes, and patterns in profiling results to support decision-making. Schedule and monitor DQ jobs for continuous data quality assurance. Write and optimize custom SQL queries for data validation, profiling, and reporting needs. Ensure alignment of data quality practices with financial KPIs and reporting requirements. Integrate Collibra DQ and DIP solutions into the broader data ecosystem to enhance trust and usability. Document processes, rules, and workflows to support governance and compliance. Collaborate with stakeholders to define and refine data quality KPIs, ensuring financial reporting accuracy. Required Skills & Qualifications Proficiency in Collibra DQ & DIP with strong hands-on implementation experience. Certified Collibra Ranger (mandatory). Strong expertise in SQL for querying, profiling, and validating data. Ability to analyze large-scale datasets to detect anomalies, patterns, and trends. Strong analytical and problem-solving skills with a detail-oriented mindset. Experience in data integration and governance frameworks. Proven ability to work on financial datasets and KPI reporting environments. Experience Minimum 5+ years of overall experience in Data Quality, Data Governance, or Data Intelligence. Prior experience working in financial services or financial KPI reporting projects is a plus. Demonstrated ability to work in an offshore delivery model with global stakeholders. Why Join Opportunity to contribute to a strategic financial reporting program ensuring trusted insights. Hands-on exposure to the latest Collibra tools and frameworks. Collaborative and challenging environment focused on data governance excellence.

Role Overview: At EY, you will have the opportunity to shape a unique career with the global scale, support, inclusive culture, and technology to help you become the best version of yourself. Your voice and perspective are valued to contribute to making EY even better. Join EY to create an exceptional experience for yourself and contribute to building a better working world for all. Key Responsibilities: - Utilize tools and techniques to analyze data collection, updates, storage, and exchange - Define and apply data modeling and design standards, tools, best practices, and development methodologies - Design, review, and maintain data models - Perform data analysis to capture data requirements and visualize them in data models - Manage the data model lifecycle from requirements to design, implementation, and maintenance - Collaborate with data engineers to create optimal physical data models - Identify opportunities to leverage data for enhancing business activities Qualification Required: - Bachelor's degree in Computer Science or equivalent with 3-7 years of industry experience - Experience in Agile-based delivery methodology is preferable - Strong analytical skills with a proactive problem-solving approach - Proficiency in Software Development Best Practices - Excellent debugging and optimization skills - Experience in Enterprise-grade solution implementations and converting business challenges into technical solutions - Strong communication skills, both written and verbal, formal and informal - Participation in all phases of the solution delivery life cycle, including analysis, design, development, testing, deployment, and support - Client management skills Additional Details: EY aims to build a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. Through data and technology, diverse EY teams worldwide offer assurance and support clients in growth, transformation, and operations across various sectors. Working in assurance, consulting, law, strategy, tax, and transactions, EY teams tackle complex global challenges by asking better questions to find innovative solutions.,

Inviting applications for the role of Principal Consultant-Data Engineer Responsibilities Strong DWH experience. Strong in one of the query languages like MS SQL, PL/SQL etc. Good understanding of best practices of cloud database technologies. Experience in Snowflake and/or dbt would be preferred while is not mandatory. Experience in CICD tools like GitHub etc. Understanding of batch orchestration tools like Apache Airflow , Control-m etc. Experience range Experience of any kind of data migration project is nice to have. Python is nice to have but DWH skills are must have . Qualifications we seek in you! Minimum Qualifications Bachelor%27s degree in computer science, information technology, or a related field. IT experience with a major focus on data warehouse/database-related projects Preferred Qualifications/ Skills You have experience in data warehousing, data modeling, and the building of data engineering pipelines. You are well versed in data engineering methods, such as ETL and ELT techniques through scripting and/or tooling. You are good at analyzing performance bottlenecks and providing enhancement recommendations you have a passion for customer service and a desire to learn and grow as a professional and a technologist. Strong analytical skills related to working with structured, semi-structured, and unstructured datasets. Collaborating with product owners to identify requirements, define desired and deliver trusted results. Building processes supporting data transformation, data structures, metadata, dependency, and workload management. In this role, SQL is heavily focused. An ideal candidate must have hands-on experience with SQL database design. Plus, Python . Demonstrably deep understanding of SQL (level: advanced) and analytical data warehouses ( Snowflake preferred). Demonstrated ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket ) Extremely talented in applying SCD, CDC, and DQ/DV framework. Familiar with JIRA & Confluence . Must have exposure to technologies such as dbt , Apache airflow, and Snowflake . Desire to continually keep up with advancements in data engineering practices. Knowledge of AWS cloud, and Python is a plus. Must have exposure to technologies such as dbt , Apache Airflow, and Snowflake. Experience in other data platforms: Oracle, SQL Server, MDM, etc Expertise in writing SQL and database objects - Stored procedures, functions, and views. Hands-on experience in ETL/ELT and data security, SQL performance optimization and job orchestration tools and technologies e.g., dbt , APIs, Apache Airflow, etc. Experience in data modeling and relational database design Well-versed in applying SCD, CDC, and DQ/DV framework. Demonstrate ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket) Good to have experience with Cloud Platforms such as AWS, Azure, GCP and Snowflake Good to have strong programming/ scripting skills (Python, PowerShell, etc.) Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs) Excellent written, and oral communication and presentation skills to present architecture, features, and solution recommendations Global functional product portfolio technical leaders (Finance, HR, Marketing, Legal, Risk, IT), product owners, functional area teams across levels Global Data Product Portfolio Management & teams (Enterprise Data Model, Data Catalog, Master Data Management)

Job description Position: Project Design Location: Andheri (East), Mumbai Industry: Pharmaceutical Role & responsibilities : Preparation of plant equipment layouts, process flow diagrams, man/material flow diagrams, and equipment sizing. Preparation of specifications for process equipment, utility equipment, warehouse equipment, etc. Mass & energy balances for utility load calculations. Knowledge of instrumentation control requirements & preparation of plant process control philosophies. Provide process inputs to instrumentation team for instrument process data sheets. Input to project schedules and monitoring tasks to meet milestones in each phase. Develop documentation, diagrams, and specifications per project and regulatory requirements. Prepare scope of work documents for project planning. Participate in project reviews for status tracking and reporting. Prepare & review project documents: DQ, IQ, OQ, PQ qualifications, FAT/SAT protocols & reports. Ensure adherence to industry standards and best practices in process design. Adherence to cGMP guidelines and work per Arcadis SOP/Work instructions. Ensure compliance with SHE & sustainability standards. Perform tasks within agreed budget and schedule. Preferred candidate profile Bachelors degree in engineering (chemical, mechanical, industrial or similar). 5-8 years of experience as a process engineer in a design consultancy or GMP manufacturing environment. Knowledge of process analysis & process modelling. Good hands-on experience in AutoCAD Must be comfortable working from 10:30 AM to 7:00 PM. Immediate joiners will be preferred. Interested candidates can click on Apply or send their CV to yogita.ghosh@fhcmedica.com

Skills : SAP-Data Management and Governance Lead Related . Position : :Lead Consultant /Technical Specialist / Senior Technical Specialist / Team Leader / Manager / Senior Manager/Architect / Senior Architect. Work Experience : 8.00Years to 25.00 Years Work Location : Only Chennai Job Type : Permanent Employee (Direct Payroll) This is for CMM Level 5 Indian MNC (Direct Payroll) Opening in Only Chennai Location - Have you applied before = Yes/No = Below Mentioned All the Details are Mandatory - Please Send : * Current Location : * Preferred Location : * Total Experience: * Relevant Experience: * Primary Active Personal Email ID : * Alternate Active Personal Email ID : * Primary Contact Number : * Alternate Contact Number : * Current CTC: * Expected CTC: * Notice Period: * Last Working Date: * Current Payroll Company Name (Contract / Permanent) : * DOB & Place of Birth : Mandatory JD - 1 - SAP-Data Management and Governance Lead 1. Data Governance Strategy & Leadership •Define Enterprise Strategy: Develop and lead the vision and execution roadmap for enterprise data governance, data architecture, and data integration across all data systems. •Champion Data Culture: Shape and positively influence our enterprise data culture, driving change and demonstrating the value of data governance across all business functions. •Lead High-Performing Team: Develop and lead a team of data governance professionals, establishing best practices, policies, and frameworks to enhance data quality and security. 2. Technical Implementation & System Integration •Govern SAP Master Data: Lead master data governance initiatives for key domains, specifically focusing on Customer, Material, Vendor, and Finance data within our SAP ECC environment. •Build foundation of Enterprise Data Management: Ensure the quality of master data for Customers and Suppliers to leverage smooth opertaions for Procurement, Sales, Logistics accross the enterprise. •Integrate Salesforce & Workday: Define and enforce governance standards for critical data originating from Salesforce (Customer, Sales) and Workday (HR, Finance), ensuring seamless integration with other enterprise systems. •Architect Data Solutions: Provide technical guidance on the design and implementation of our data strategy and architecture, leveraging cloud platforms (e.g., AWS, Azure) and data warehouses (e.g., Snowflake). •Implement MDM: Guide the implementation of enterprise-level Master Data Management (MDM) solutions, including the design of multi-level workflows, hierarchies, and match-and-merge strategies. 3. Data Quality & Regulatory Compliance •Ensure Data Integrity: Own the accountability for the quality, integrity, and compliance of data, including manufacturing specifications, raw material inventories, and financial records. •Define Quality Standards: Establish and enforce data quality standards and remediation plans, ensuring data is accurate, consistent, and reliable for manufacturing and supply chain operations. •Uphold Compliance: Develop policies and procedures to ensure adherence to internal standards and external regulations, including those related to product safety, financial reporting, and global supply chain compliance. 4. Stakeholder Engagement & Enablement •Lead Cross-Functional Collaboration: Act as the primary liaison between business leaders, technical teams, and data governance professionals to articulate, prioritize, and operationalize data requirements. •Drive Change Management: Lead cross-functional teams through change management strategies, ensuring successful adoption of data governance practices and tools. •Elevate Data Literacy: Develop and deliver training materials to ensure the appropriate and timely dissemination of data governance best practices, enhancing data literacy across the organization. A highly experienced and strategic leader to serve as our Data Management & Governance Lead. The ideal candidate will have extensive experience in a complex, global manufacturing environment, with a deep understanding of core enterprise systems, including SAP ECC, SAP IBP, Salesforce, and Workday. You will be responsible for ensuring the availability, integrity, and security of critical data assets, from raw material and production data to customer and financial records. You will lead a team of data professionals and serve as a change agent, building an enterprise-wide culture of data stewardship and quality. 15+ years of progressive experience in data management, data governance, or data architecture roles. Manufacturing or Regulated Industry Experience in collaborating with business leaders to establish and run Enterprise Data Governance function spanning mutltiple Master Data Domains (Customer, Vendor, Material, Finance Master Data, Employee etc) based on data from SAP and other applications like SalesForce, Workday etc Data Platforms: Expertise with modern data warehouses (e.g., Snowflake) and cloud platforms (e.g., Azure, AWS). Experience in implementing MDM solutions (SAP MDG, Reltio, Stibo, Informatica MDM) for multiple domains based on SAP data Integration: Experience with integration tools (e.g., SAP Data Services, Informatica) to connect source systems with data platforms. Metadata Management: Strong understanding of metadata and lineage tools (e.g., Atlan, Collibra). Programming: Knowledge of programming languages like Python for data manipulation is a plus. Ability to govern SAP Master Data: Lead master data governance initiatives for key domains, specifically focusing on Customer, Material, Vendor, and Finance data within our SAP ECC environment. Ability to ensure the quality of master data for Customers and Suppliers for leveraging smooth opertaions for Procurement, Sales, Logistics accross the enterprise. Ability to enable Supply Chain: Oversee the governance of data feeding into SAP IBP to ensure the accuracy and reliability of demand forecasts, production schedules, and inventory planning. Experience in integrating Salesforce & Workday with other enterprise systems along with governance standards Ability to architect Data Solutions: Provide technical guidance on the design and implementation of our data strategy and architecture, leveraging cloud platforms (e.g., AWS, Azure) and data warehouses (e.g., Snowflake). Ability to guide the implementation of enterprise-level Master Data Management (MDM) solutions, including the design of multi-level workflows, hierarchies, and match-and-merge strategies. Ensure Data Integrity and Data Quality Standards: Establish and enforce data quality standards and remediation plans, ensuring data is accurate, consistent, and reliable for manufacturing and supply chain operations. Develop policies and procedures to ensure adherence to internal standards and external regulations, including those related to product safety, financial reporting, and global supply chain compliance. Develop and deliver training materials to ensure the appropriate and timely dissemination of data governance best practices, enhancing data literacy across the organization. 15+ years of progressive experience in data management, data governance, or data architecture roles. Proven expertise in leading data governance initiatives and establishing stewardship operating models. Deep functional and technical knowledge of SAP ECC (mandatory) and SAP IBP, Salesforce, and Workday (atleast one of the three) Expertise in the implementation of Master Data Management solutions, including hands-on project experience in two or more domains (e.g., Material, Vendor, Customer, Finance Master data). Exceptional leadership, communication, and stakeholder management skills. Demonstrated ability to drive change and build a positive data culture in a complex, matrix organization. Has defined Enterprise Strategy, developed and lead the vision and execution roadmap for enterprise data governance, data architecture, and data integration across all data systems. Lead a team of data governance professionals, establishing best practices, policies, and frameworks to enhance data quality and security. JD 2 - Master Data Management Engineer Finance Subject matter expert for metadata data management, overseeing configuration, data modeling Exposure to Data Governance Subject matter expert for SAP data management, overseeing configuration, data modeling, and integration with other SAP modules Familar with data access and usage policies Ensuring accuracy and quality in integration processes and documentation Knowledge on Data security and Privacy Experience with metadata management (preferrably using Atlan) Exposure to data governance solutions comply with regulatory requirements and internal policies. Identify and mitigate risks related to data integrity and IT operations Exposure to SAP Ecosystem and Architecture Exhibits Data Stewardship and collaborates with cross-functional teams to ensure alignment and effective communication. Exposure to S/4 HANA or SAP MDM or SAP MDG Minimum of 3-5 years of proven experience in SAP Finace master data management such as Cost Centers, Profit Centers, General Ledger Accounts, Bank Accounts and Signatories. Exposure to data governance and access policies Experience with architecting MDM end to end implementation covering data extraction, profiling, cleansing, initial data load, centralized creation, and integration with consuming system Experience in design and development of hierarchies, third party integration, match and merge strategies Diverse experience in application tools, languages, and frameworks (SQL, Snowflake, Python, Java etc.) Ability to communicate with international stakeholders up to management level. Strong understanding of data governance policies and procedures. Excellent analytical and problem-solving skills. Ability to work independently but also collaboratively with various stakeholders. SAP Certified Associate - SAP Master Data Governance JD 3 - Master Data Management Engineer - Business Partner(Customer/Vendor/Employee) Subject matter expert for metadata data management, overseeing configuration, data modeling Exposure to Data Governance Subject matter expert for SAP data management, overseeing configuration, data modeling, and integration with other SAP modules Familar with data access and usage policies Ensuring accuracy and quality in integration processes and documentation Knowledge on Data security and Privacy Experience with metadata management (preferrably using Atlan) Exposure to data governance solutions comply with regulatory requirements and internal policies. Identify and mitigate risks related to data integrity and IT operations Exposure to SAP Ecosystem and Architecture Exhibits Data Stewardship and collaborates with cross-functional teams to ensure alignment and effective communication. Exposure to S/4 HANA or SAP MDM or SAP MDG Minimum of 3-5 years of proven experience in SAP master data management. Exposure to data governance and access policies Experience with architecting MDM end to end implementation covering data extraction, profiling, cleansing, initial data load, centralized creation, and integration with consuming system Experience in design and development of hierarchies, third party integration, match and merge strategies Diverse experience in application tools, languages, and frameworks (SQL, Snowflake, Python, Java etc.) Ability to communicate with international stakeholders up to management level. Strong understanding of data governance policies and procedures. Excellent analytical and problem-solving skills. Ability to work independently but also collaboratively with various stakeholders. Warm Regards, **Sanjay Mandavkar** Recruitment Manager | Think People Solutions Pvt. Ltd. Empowering People. Enabling Growth. Email : sanjay@thinkpeople.in www.thinkpeople.in

The Data and AI Governance Leader will play an integral role in orchestrating the governance council and ensuring compliance with governance policies in data, analytics, and AI. Your participation will be instrumental in defining a robust Data and AI Governance Framework, codifying organizational and industry policies into standards, procedures, and technical controls to ensure effective, ethical, and legal use of Data & AI technologies. This leadership position is critical in providing strategic and thought leadership across the company's policies, standards, and procedures related to Data preparation, Data management, Model development, Evaluation, Deployment, Monitoring, and Corrections. You will work closely with legal, ethical, security, branding, IS, and administrative teams, acting as a bridge between policy defining teams and execution teams to define compliance frameworks, risk assessment frameworks, and foster collaboration to implement repeatable, consistent, and efficient practices. You will also facilitate data literacy and training about key information assets across the organization. It is expected that you have a deep industry understanding and expert practitioner experience with governance, including successfully running executive-level governance councils. You will be accountable for strengthening Data and AI governance capabilities in the region to cater to Providence and other partnering health systems. You will provide thought leadership in the development and implementation of data and AI governance strategies aligned with the company's vision and goals. Staying current on existing and evolving Data & AI governance laws and regulations to revise existing policies and procedures and drive alignment with the Organization's Governing Principles will be a key responsibility. Collaborating with compliance, legal, cyber, and other cross-functional teams as needed to ensure Data and AI initiatives comply with relevant laws and regulations is essential. Establishing technical guidelines and frameworks for the development, deployment, and operations teams to assess and manage AI risks will also be part of your duties. Additionally, you will collaborate with executive leadership to define and prioritize governance initiatives and act as a liaison between technology teams and legal, ethical, security, branding, IS, and administrative teams to ensure alignment and effective communication. Your role will involve collaborating with stakeholders from different pillars to lead the setup and structuring of Data & AI governance framework for the Organization. Leading cross-disciplinary teams to ensure alignment and effective implementation of Data & AI governance policies and procedures, overseeing the implementation and maintenance of governance processes for data preparation, management, model development, evaluation, deployment, monitoring, and correction, ensuring the integrity, quality, and security of data and AI models across all stages, and working with the Business, Ethics, and Compliance teams to establish auditable controls and monitor compliance to governing principles are all part of your leadership responsibilities. You will also be responsible for establishing and maintaining clear lines of accountability to ensure compliance with governance standards, creating and maintaining auditable artifacts to document adherence to governance policies and procedures, identifying areas for improvement within the governance framework and driving initiatives to enhance efficiency and effectiveness, conducting risk assessments, identifying potential risks associated with AI usage, defining mitigations, establishing auditable controls, and being the face of Data and AI COE for internal and external audits. Developing training and educational programs that help embrace governance as a way of working will also be part of your duties. Translating company policies, standards, and procedures into actionable technical standards and guidelines, developing frameworks and tools to ensure adherence to governance policies throughout the data and AI lifecycle will also be among your responsibilities. Professional Experience / Qualifications: - Bachelors/ Masters in STEM / Healthcare areas of specialization. - 14+ Years of relevant industry experience. - 5+ Years of hands-on experience in the Data Governance and pillars areas like DQ, MDM, Data Annotation etc. - 3+ years of experience leading high-performing Data / AI Governance teams- hiring, building, and growing. - Strong knowledge of governance principles, privacy laws, and industry-specific regulations (e.g., GDPR, HIPAA, FCRA). - Proven track record of leading Data and AI governance processes in a highly regulated enterprise, preferably in the Healthcare sector. - Deep understanding and working experience of AI/ML, data management systems, regulatory frameworks, and ethical AI practices. - Experience working with cross-functional teams, including data science, engineering, legal, and compliance. - Deep technical understanding of AI systems, model lifecycle management, and associated risks. - Ability to navigate complex regulatory environments and provide pragmatic solutions to governance challenges. - Expertise in risk management frameworks, audit processes, and AI/ML validation techniques. - Any certifications related to Data Governance, AI Governance, Data Management will be good to have. - Knowledge of Healthcare Industry and Any Certifications in Healthcare will be good to have. This is an individual contributor role.,

Role & responsibilities .Department - Production (Fill-Finish) Jr. Operator / Operator / Sr. Operator Job Description: Depyrogenation, HPHV Steam Sterilizer, Production related activities, Lyophilizer, Vial filling & Sealing machine operations & Formulation activities Experience: 1 - 6 years Qualification: ITI/Diploma/B. Sc/Equivalent Job Description: Officer / Executive /Jr Executive Production plan, filling activities, cGMP, SOP, Preventive maintenance, Lyophilizer, Aseptic Media fills, HPHV, Handling Filter integrities, DQ, IQ, PQ, OQ. Experience: 1 - 6 years Qualification B. Pharmacy / M. Pharmacy What should you carry 1. Updated resume 2. Latest increment letter with last three months pay slips Preferred candidate profile

The role involves handling document issuance, distribution, and retrieval, including verification of various documents such as Batch Manufacturing records, Protocols, layouts, specifications, etc. Issuing approved Standard Formats and Logbooks to User Departments, as well as managing line-clearance checklists, interventions checklist, and BMR/BPR pages. Additionally, handling proposed changes per the change control procedure, assessing associated risks/impacts, and ensuring the implementation of action plans. Conducting investigations using root cause analysis tools, performing additional studies, and deriving appropriate CAPA. Managing recommended CAPA and evaluating the implementation of recommended actions. Performing trend analysis on deviations, change controls, complaints, etc., to identify repetitive events for further evaluation and CAPA. Reviewing URS, DQ, and vendor/supplier documents related to qualification. Preparing and reviewing Validation/Qualification protocols and reports. Executing and reviewing Qualification/Validation activities of Equipment/System/Facility and Plant utilities, coordinating with relevant departments for timely completion. Preparing and reviewing media fill and hold time protocols and reports, as well as Standard Operating Procedures for the Quality Assurance Department. Assessing Change Control, Deviation, CAPA, Investigations, and preparing protocols for process validation and cleaning verification/validation. Conducting sampling activities as per protocols and managing risk assessment activities related to equipment/process/facility/system. The ideal candidate should have a B.Sc/M.Sc/B.Pharm/M.Pharm degree.,

You will be part of a team of over 130 data consultants, each with diverse profiles, covering a wide range of data issues and enriching each other's experiences. You will have the opportunity to work in a 600m innovation lab dedicated to Data, being the global leader in innovation and supply chain consulting, and working with an experienced team dedicated to excellence in guiding projects and helping you grow. You will work on a variety of projects for major national and international clients. As a Consultant specializing in Data Governance and Data Management at EY Data & Analytics, your responsibilities will include: - Supporting clients in designing, defining, and implementing their Data Governance and Data Management initiatives. - Operationally participating in Data Governance and Data Management initiatives by collaborating with clients to establish data governance and management strategies, activities, processes, and necessary tools. - Leading teams and workshops for co-creation and evangelization, such as identifying data use cases with business units for inclusion in the data roadmap and creating governance actor networks. - Assisting clients in understanding Data Governance and Data Management and raising awareness about the importance of these topics. - Identifying appropriate technological solutions for client needs and supporting clients in their implementation. - Contributing to the selection and implementation of tools such as Data Catalogs, Data Marketplaces, Master Data Management (MDM) solutions, and overall Data Quality tools. - Conducting technological watch activities and facilitating knowledge-sharing sessions by sharing your internal experiences. The ideal candidate for this role should have at least 4 years of experience in a consulting firm focusing on Data Governance and Data Management. You should have practical and successful experience implementing data governance in organizations and possess functional and technical skills in leading market solutions. Additionally, you should be able to support data offices, Chief Data Officers, business units, and operational stakeholders, while effectively communicating and providing long-term guidance. Autonomy, pragmatism, and a passion for sharing experiences lively are key attributes for success in this role. At EY Consulting, you will have the opportunity to: - Work with top international clients in leading sectors within diverse and multicultural teams. - Benefit from a comprehensive and personalized training program and have a mentor throughout your career. - Be part of international competence and sectoral communities, consisting of top professionals in Europe. - Contribute to a zero-carbon consultancy. EY places Corporate Social Responsibility at the core of its strategic project with the ambition to evolve its internal practices. - Experience geographical mobility and explore other cultures through the Mobility4U program. - Engage in internal networks related to ecology, diversity, inclusion, and support initiatives of the active foundation on impactful causes. - Participate in various EY events such as Entrepreneur of the Year, Women In, T-DAY, Sustainable Futures, etc. In line with its Diversity, Equity, and Inclusion policy, EY considers all applications, including those from individuals with disabilities, on an equal skills basis.,

As a Process Incharge - Injectable, you will be responsible for overseeing formulation manufacturing projects with an experience requirement of 12-15+ years, including 5-6 years specifically in formulation manufacturing projects. Your key responsibilities will include reviewing equipment design qualification documents such as PI&D, FS, DQ, SDS, HDS, IQ, OQ, and drawings for approval when necessary. You will be tasked with verifying process equipment instruments in alignment with PI&D and electrical drawings, ensuring commissioning of instruments as needed, and conducting Factory Acceptance Tests (FAT) for process equipment where necessary. Additionally, you will provide support for installation and commissioning activities and assist in the qualification of equipment through IQ, OQ, and PQ processes. Furthermore, you will collaborate with the team to identify all process equipment and utilities equipment field instruments, create calibration schedules, and manage the instrumentation team for calibration activities. You will also be responsible for approving third-party calibration vendors, reviewing calibration certificates, and coordinating with vendors for spares indents and Quality Management System (QMS) elements like change control and deviations. Your role will also involve attending to equipment maintenance tasks such as preventive maintenance and breakdowns, as well as preparing Standard Operating Procedures (SOPs) and obtaining necessary approvals. If you are interested in this challenging opportunity, please share your CV with us at nitin.shringi@knovea.com.,

The Document Controller position at SEPAM in Chennai is a full-time on-site role that involves managing project documentation, records, and communication tasks related to document management. The ideal candidate should possess hands-on experience in GMP, Equipment Qualification, DQ/IQ/OQ/PQ, as well as experience in FMCG projects. Key responsibilities include document management, project documentation, and records management. The successful candidate will need to demonstrate strong communication skills, attention to detail, and organizational skills. Proficiency in document control software is essential for this role. Additionally, the ability to work effectively in a team environment is crucial. Candidates should hold a Bachelor's degree in a relevant field to be considered for this position.,

You will be responsible for documentation and execution of qualification activities. This includes preparation, review, and execution of URS (User Requirement Specification), DQ (Design Qualification), FDS (Functional Design Specification), UTM (User Traceability Matrix), IQ (Installation Qualification), OQ (Operational Qualification), PQ (Performance Qualification), RQ (Requirement Qualification) documents. Your responsibilities include the review of miscellaneous qualification documents and preparation and review of risk assessments for equipment and systems. You will be responsible for new project-related FAT (Factory Acceptance Test) and SAT (Site Acceptance Test). You will review and compile raw data, relevant certificates, analysis test reports, and preparation and review of the final summary report. Additionally, you will be responsible for preparation and review of protocols and reports for media fill validation and cleaning validation. Your role involves the initiation of relevant CRN (Change Request Number) for new or existing activity, timely closure of assigned action plans as per CRN, and CRN review and approval. You will also be responsible for corrective and Preventive Action (CAPA) implementation and handling incident investigations and CAPA related to qualification. As part of your role, you will prepare and review VMP (Validation Master Plan), conduct training for employees and external vendors as a qualified trainer, and prepare and review qualification SOPs (Standard Operating Procedure). You will conduct investigations as a site investigation team member and update the Qualification status label. You will be responsible for the periodic qualification schedule preparation, updating, and execution, as well as the qualification of new or transferred equipment. Additionally, you will provide necessary assistance and support to various regulatory, internal, and external inspections.,

At EY, you will have the opportunity to develop a career that is as unique as you are, supported by a global network, inclusive culture, and cutting-edge technology to help you reach your full potential. Your distinctive voice and perspective are essential in contributing to EY's continuous improvement. Join our team to create an exceptional experience for yourself and contribute to building a better working world for all. We are currently seeking a Data Modeller - Senior with a solid understanding of technology and data in the data modelling space, coupled with a proven track record in project delivery. This role offers an exciting opportunity to be part of a leading firm and a growing Data and Analytics team. Your responsibilities will include: - Utilizing tools and techniques for analyzing data collection, updating, storage, and exchange - Defining and implementing data modelling and design standards, tools, best practices, and development methodologies - Designing, reviewing, and maintaining data models - Performing data analysis to capture requirements and visualize them in data models - Managing the data model lifecycle from requirements to design, implementation, and maintenance - Collaborating with data engineers to create optimal physical data models - Identifying opportunities to leverage data for enhancing business activities Key Skills and Attributes: - 3-7 years of relevant experience - Proficiency in data modelling - Experience with data modelling tools such as Erwin Data Modeler, ER studio, Toad, etc. - Strong knowledge of SQL - Basic ETL skills for ensuring proper implementation of ETL processes - Good understanding of Datawarehouse concepts - Optional skills in data visualization - Knowledge of Data Quality (DQ) and data profiling techniques and tools To be considered for this role, you should: - Hold a degree in computer science or equivalent with 3-7 years of industry experience - Preferably have experience in Agile delivery methodology - Possess a proactive and flexible working style with a strong sense of ownership - Demonstrate strong analytical skills and problem-solving abilities - Exhibit proficiency in Software Development Best Practices - Have experience in implementing enterprise-grade solutions and translating business challenges into technical solutions - Be an excellent communicator, both in written and verbal communication - Participate in all stages of the solution delivery life cycle, including analysis, design, development, testing, deployment, and support - Have strong client management skills Join EY in building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. Our diverse teams across 150 countries leverage data and technology to provide assurance and help clients grow, transform, and thrive in today's complex landscape of assurance, consulting, law, strategy, tax, and transactions.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We're looking for candidates with strong technology and data understanding in the data modeling space, with proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your key responsibilities include employing tools and techniques used to understand and analyze how to collect, update, store, and exchange data. You will define and employ data modeling and design standards, tools, best practices, and related development methodologies. Additionally, you will design, review, and maintain data models, perform data analysis activities to capture data requirements and represent them in data models visualization, manage the life cycle of the data model from requirements to design to implementation to maintenance, work closely with data engineers to create optimal physical data models of datasets, and identify areas where data can be used to improve business activities. Skills and attributes for success: - Experience: 3 - 7 years - Data modeling (relevant Knowledge): 3 years and above - Experience in data modeling data tools including but not limited to Erwin Data Modeler, ER studio, Toad, etc. - Strong knowledge in SQL - Basic ETL skills to ensure implementation meets the documented specifications for ETL processes including data translation/mapping and transformation - Good Datawarehouse knowledge - Optional Visualization skills - Knowledge in DQ and data profiling techniques and tools To qualify for the role, you must: - Be a computer science graduate or equivalent with 3 - 7 years of industry experience - Have working experience in an Agile-based delivery methodology (Preferable) - Have a flexible and proactive/self-motivated working style with strong personal ownership of problem resolution - Possess strong analytical skills and enjoy solving complex technical problems - Have proficiency in Software Development Best Practices - Excel in debugging and optimization skills - Have experience in Enterprise-grade solution implementations & in converting business problems/challenges to technical solutions considering security, performance, scalability, etc. - Be an excellent communicator (written and verbal formal and informal) - Participate in all aspects of the solution delivery life cycle including analysis, design, development, testing, production deployment, and support - Possess client management skills EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You will be part of a greenfield project located in GIDC Vapi, covering an area of 10,556 sq m dedicated to the manufacturing of Pharma Intermediates and APIs. The project is designed to include a main intermediate production building, a GMP facility, and infrastructure for Catalytic Hydrogenation, emphasizing sustainable practices and competitive innovation. Your responsibilities will involve the preparation and upkeep of Engineering/Project documentation, Qualification & Validation documents throughout the various stages of the greenfield project until commercial manufacturing. It is essential to ensure the implementation and adherence to industry/cGMP best practices. This includes creating Qualification documents such as URS, DQ, IQ, OQ & PQ for production and utility equipment, as well as overseeing Engineering documents encompassing certificates, calibration, test results, inspection requests, non-compliance reports, and other crucial QA/QC documents. You will be accountable for tasks like conducting factory acceptance tests at vendor sites, qualifying new equipment, and periodically re-qualifying equipment and facilities like PW plant HVAC. Additionally, you will be involved in the Preparation & Review of SOPs for the Engineering department, Training and Approval of Qualification SOPs, preparing Facility qualification documents, and developing Project-specific qualification plans for significant changes. Your role will also entail the creation of various documents such as Installation and operational qualification protocols and reports, Performance Qualification Protocols and reports, and conducting training sessions for new hires and Executives on Qualification Activities. To qualify for this role, you should hold a BE/ BTech degree in Chemical/Mechanical Engineering with a background of 5-10 years in Engineering/Project documentation. Strong written and verbal communication skills will be beneficial for effectively carrying out the responsibilities associated with this position.,

You will be joining Bigfirm as a member of the Data and Analytics team, where your primary focus will be on data modeling. In this role, you will be responsible for employing various tools and techniques to understand, analyze, collect, update, store, and exchange data effectively. Your duties will include defining and implementing data modeling and design standards, tools, best practices, and related development methodologies. Additionally, you will design, review, and maintain data models, as well as perform data analysis activities to capture data requirements and represent them visually in data models. Collaboration with data engineers will be crucial as you work closely with them to create optimal physical data models of datasets. You will also be expected to identify opportunities where data can be leveraged to enhance business activities. To excel in this role, you should have a solid foundation in data modeling with at least 4 years of experience in relevant tools such as Erwin Data Modeler, ER studio, Toad, etc. Proficiency in SQL, basic ETL skills, and knowledge of Datawarehouse concepts are essential. Optional skills in data visualization, data quality, and data profiling techniques will be beneficial. To qualify for this position, you must hold a degree in computer science or equivalent with 3 to 7 years of industry experience. Experience in an Agile-based delivery methodology is preferable. Your proactive and self-motivated working style, combined with strong analytical skills, will be key to resolving complex technical problems effectively. Proficiency in software development best practices, excellent debugging and optimization skills, and experience in enterprise-grade solution implementations are required. You should also possess excellent communication skills, both written and verbal, and demonstrate proficiency in client management. This role offers a fantastic opportunity to be part of a leading firm and contribute to the growth of the Data and Analytics team. If you are someone with a passion for technology and data understanding, along with proven delivery capability, we encourage you to apply for this exciting position at Bigfirm. Regards, Soundarya,

Execution of IQ, OQ and PQ for new equipment, facility & utility system, report preparation and maintenance of record. Execution of Periodic performance verification activities for equipments, facility, utilities and its report preparation. Review Initial qualification master document like URS, GxP assessment, DQ, FAT, SAT, IQ, OQ, PQ and PPV of EFU system and all executed report. Handling of departmental QMS activity through track wise software, discrepancy / deficiency activity compliance of observation, summary preparation for regulatory submission. Qualification and Periodic performance verification activity execution, compilation, review of reports [Filter integrity test (PAO), air velocity, non-viable particle count, air flow pattern as per define schedule, review of calibration certificate for measuring devices]. Ensure and updation of periodic performance verification, calibration, Bulk SIP and smoke study schedule as per available data. Review of all AHU PAO test and NVPC report form for periodic verification, Filter Replacement intimation form, Equipment/instrument inward & Deletion intimation slip & all equipments print reports during qualification. Preparation of master document for periodic performance verification of EFU system Preparation & review of SOPs through EDMS Software Execution of FAT and SAT of equipment, facility and utilities as per requirement. Equipment Periodic performance verification schedule preparation, review, updation and provide data required for monthly report preparation. QE related Instrument calibration schedule preparation (Ellab wireless system, Ellab wired system, Rotronic data loggers certificate review and updation as per available data

Title: Instrumentation and Automation Engineer Qualification: B.E in Electrical & Instrumentation Primary Responsibilities: 1. To attend /or supervise all jobs related to Instrumentation Engineering activities in site. 2. Timely execution of all calibrations of equipments/instruments as per schedule coordination with user. 3. To attend emergency breakdowns of all plant wide machines round the clock as and when required. 4. Maintain the Spare parts of all critical Instruments in site. 5. Timely execution and completion of Validation activities to be done in site. 6. Execution of all In-house Projects in instrumentation and automation in site. 7. Maintain the calibration logs, area /equipment logbooks, preventive maintenance schedule of all the activities. Audit readiness Secondary Responsibilities: 1. Preparation and Review of all documents related to engineering. Timely execution and completion of Performance verification of the equipments. Interested candidates can share your resume to [ Careers@curateqbio.com, hasumitha.chitti@curateqbio.com] with relevant subject line.

Role & responsibilities: 1. Responsible for overall co-ordination with all relevant stake holders from the project Team, Engineering/consultation company and SC Finish Goods Manufacturing Teams for the project delivery. 2. Preparation/Review of PFDs (Process flow diagrams) for the formulation/Standardization and downstream processes with Engineering company. 3. Best sutaible Plant Layout preparation support to Engineering company. 4. Material and Man Movement plan preparation for new SC Operations plant in co-ordination with Project Engineering and Management Team. 5. Sizing calculations for Liquid and Solid storage with internal plant vehicle Transport layout preparation. 6. Conduct design reviews of the detail Engineering drawings, Mechanical & Piping P&ID prepared by Engineering company. 7. Compliance to all Food safety/Regulatory/EHS requirements during early design phase. 8. Support in preparation and reviewing deatil sizing of RM and PM storage with all the RM/PM material requirement and Movement plan. 9. Review of DQ, IQ, HQ & OQ for new equipments and delivery of the same for the process. 10. Closely work with Global and India Supply Chain Operations stakeholders. Preferred candidate profile 1. The Person should be having extensive experience in bulk liquid standardisation/Formulation plant process Engineering with individually handled the green Field project as user Manager. 2. Bachelor of Engineering Chemical/Mechanical with 20-25 years of experience in process industry- Food/Pharma/biotech/Chemical.

Role & responsibilities Job Description: 1. Preparing and implementing of standard operating Procedures, Batch records, Protocols, cleaning procedures and relevant log sheets. 2. Maintaining documents as per regulatory and cGMP norms. 3. Handling of QMS activities, Change controls, Deviations, Incidents and risk assessments. 4. Responsible for ensuring the department employees for training as per training plan schedule in the TRIMS. 5. Responsible to attend all training programs, SOPs and cGMP trainings relevant to area and equipments. 6. Responsible for monitoring of periodic review of SOP’s related to FP Departments and ensuring the completion with in due date. 7. Performing DQ, IQ, OQ, and PQ for the equipment’s. 8. Writing of relevant Batch documents and log books. 9. Execution of production plan for formulation and filling. 10. Achieving planned FP targets with strict adherence to cGMP. 11. Execution of planned activities of Aseptic Processing Areas like media fills simulation trials, Formulation and filling activities. 12. Execution of preventive maintenance plan for equipment’s in coordination with Engineering and QA departments. 13. Performing day to day activities as per requirements. 14. Reporting all the activities, deviations and issues to Reporting officer. Preferred candidate profile ITI/ DIPLOMA/ B. TECH/ Pharmacy With Relevant experience

Preparation of Qualification documents: URS, DQ, FDS, Risk Assessment, IQ, OQ, PQ and Operation SOP of different equipment / instrument / utility. Initiation of change controls and CAPA related to Equipment / instrument / utility. Person should have hands on experience in qualification of autoclave, vial washer, depyrogenation tunnel, Filling Machine, capping machine, lyophilizer etc. Person should have exposure / understanding of qualification of packing equipment

BE / Diploma - Mechanical Engineering with 6+ years of experience in Quality Department. Must Have Clean Room Experience Having Knowledge to prepare SOPs, DQ, IQ, OQ. Good Communication & Computer Skills. Required Candidate profile As per ISO & Cleanroom / Industry standards, Clean Room products- Equipment / Lab Furniture / HVAC / Air Handling Units Industry etc. Experience in Manufacturing Industry in Quality Dept is preferred. Perks and benefits Negotiable - Depending Upon Candidate & Experience

BE / Diploma - Mechanical Engineering with 6+ years of experience in Quality Department. Must Have Clean Room Experience Having Knowledge to prepare SOPs, DQ, IQ, OQ. Good Communication & Computer Skills. Required Candidate profile As per ISO & Cleanroom / Industry standards, Clean Room products- Equipment / Lab Furniture / HVAC / Air Handling Units Industry etc. Experience in Manufacturing Industry in Quality Dept is preferred. Perks and benefits Negotiable - Depending Upon Candidate & Experience

BE / Diploma - Mechanical Engineering with 6+ years of experience in Quality Department. Must Have Clean Room Experience Having Knowledge to prepare SOPs, DQ, IQ, OQ. Good Communication & Computer Skills. Required Candidate profile As per ISO & Cleanroom / Industry standards, Clean Room products- Equipment / Lab Furniture / HVAC / Air Handling Units Industry etc. Experience in Manufacturing Industry in Quality Dept is preferred. Perks and benefits Negotiable - Depending Upon Candidate & Experience

BE / Diploma - Mechanical Engineering with 6+ years of experience in Quality Department. Must Have Clean Room Experience Having Knowledge to prepare SOPs, DQ, IQ, OQ. Good Communication & Computer Skills. Required Candidate profile As per ISO & Cleanroom / Industry standards, Clean Room products- Equipment / Lab Furniture / HVAC / Air Handling Units Industry etc. Experience in Manufacturing Industry in Quality Dept is preferred. Perks and benefits Negotiable - Depending Upon Candidate & Experience