2346 Data Validation Jobs - Page 27

We are a global automotive research and consulting organization employing talented individuals in three global business regions with a worldwide customer base. We support our customers and deliver confidence through clarity, insight and vision to support better and informed decisions in the fast-changing mobility market. Join a company with 28 years of trusted expertise and a proven track record of success. Be part of our entrepreneurial environment and help to shape the future relationship between people and cars. Our teams operate in six locations: China, Germany, India, Japan, UK, and USA. Be a part of a global outward mix of people and growth opportunities. Our corporate goals of Efficiency, Accountability, Agility and Growth ensure we stay at the top of our game and create opportunities for development Our values of Compassion, Collaboration, Courage, Curiosity and Commitment are part of every decision we make - we care about our people, our clients and our personal growth and development. Benefits may include Pension, Life Assurance, Health Care, (depending on location), and opportunities for Equity Sharing. Hybrid working and flexibility. Employee and client satisfaction is at the forefront of everything we do. Job Description: As a Research Analyst, you will be an integral part of shaping the future of our online research platform that is set to revolutionize market intelligence for the automotive industry. Working alongside our specialists in India, UK, US, China, Japan and Germany. You will be conducting global automotive market research and feeding data into the online platform. In addition to data collection, you will be staying on top of all the latest developments in the industry to identify trends and analyse what the future holds. More specifically, you will be working in two areas of our business, Connected Car & Autonomous Car. Connected Car looks at the latest telematics and connectivity technologies in cars such as smartphone integration, infotainment, emergency assistance, remote control and diagnostics. Autonomous Car includes advanced driver assistance systems such as adaptive cruise control, lane departure warning, collision warning and autonomous driving. All the necessary training will be provided. As the online research platform evolves, there will be opportunities for you to move into a more specialist role. There will also be other opportunities for you to work on client-specific projects or take-on a product planning and management role. We have always grown organically, and our India office will be no exception. Considering the ambitious growth plans of the company, our research center in India will play a key role in SBD s future. Skill Set: The core requirements for the role are as follows: Minimum 1 years industry experience (any tech industry) Bachelors or Master s degree Excellent spoken and written English Advance Excel knowledge (nested ifs, pivot tables, logical functions, LookUp, conditional formatting, etc). Experience on data validation, data tables, data consolidations, charts, importing external data to excel, etc. Good work experience in Excel VBA Prior experience in collecting, analyzing data and spotting trends Extremely good attention to detail Knowledge of a foreign language (e.g. German) would be a bonus Prior automotive experience is essential In addition to the above competencies, we are seeking individuals with: An upbeat, positive attitude and a belief in team work A passion for technology and/or cars A strong interest to follow the latest industry trends Aspiration to stand out from the crowd Ambition for a stable career but one that you can shape yourself Minimum/Maximum/ Work Experience Required: 2 years - 4 years. Minimum Education Requirements: Bachelors or Master s degree No of rounds of Interviews: 2 plus assignment Work Timings: Mon to Fri, 40 hours per week. Languages: English: Essential; another European language: Desirable Relocation & Reimbursement: Will be discussed in face-to-face interview. Please apply with your CV and Cover letter SBD Automotive is an Equal Opportunities employer.

ABOUT US: About Rentokil Initial Hygiene Part of the Rentokil Initial group, Initial Hygiene operates in more than 90 countries and is the trusted hygiene solution provider globally. Together with 120 years of experience with tailored solutions to meet customised business needs, assuring 100% peace of mind with our services. Initial Hygiene offers the widest range of washroom hygiene services including the provision and maintenance of products such as air fresheners, sanitisers, feminine hygiene units, hand dryers, soap dispensers, floor protection mats and scenting solutions. We go further to protect and enhance the things that matter most to you. Since 1903, we have built a large network of core support services which allows us to deliver washroom services, floor care and scenting solutions. Driven by science and years of experience, our solutions are tailored to meet the exact needs of your business and delivered without interruption to your operations. For more details: https://www.initial.com/in/ About the Role: The Operations Executive is responsible for client coordination, scheduling, data validation, financial management, contract follow-ups, team attendance and logistics with a focus on efficient material consumption an

Work Mode: Hybrid(3days WFO & 2 days WFH) Job Description: Key Responsibilities: Defining and implementing data quality standards: Collaborating with stakeholders to establish clear data quality rules and metrics, such as accuracy, completeness, consistency, and timeliness. Data profiling and analysis: Examining data to understand its structure, identify anomalies, and assess its quality against defined standards. Developing and implementing data quality checks: Creating automated processes and scripts to monitor data quality, detect errors, and trigger alerts when thresholds are breached. Troubleshooting and resolving data quality issues: Investigating data errors, identifying root causes, and working with relevant teams to implement corrective actions. Data validation and testing: Designing and executing test cases to ensure data accuracy and consistency throughout various data pipelines and systems. Data quality automation: Developing and maintaining automated tools and scripts to streamline data quality processes and improve efficiency. Collaboration and communication: Working with data engineers, business analysts, and other stakeholders to ensure data quality requirements are met and data quality issues are addressed effectively. Data governance: Participating in the development and implementation of data governance policies and procedures to ensure data quality and compliance. Required Skills and Qualifications: Strong understanding of data quality principles and methodologies. Proficiency in SQL and relational databases. Experience with data quality tools and frameworks. Experience with data profiling, validation, and testing techniques. Familiarity with data warehousing and cloud platforms (AWS, Azure, GCP) is a plus. Programming skills in languages like Python or R. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Need 1 month or less candidates .

Role & responsibilities- Prepare and update the Annotation list, Data Validation Plan, Edit check Specifications, and Database /Data Entry Screens as per study requirements. Preparation of Operational manual (EDC Trials) Preparation of CRF Filling Guidelines. Perform query management as per the study requirements including the manual queries raised by the data entry team and medical coder, query generation, and resolution. Quality check form updates and re-verification. Filling the data in 2 CRF(s) or database testing. Validate the external data after uploading it into the database. SAE and Lab data reconciliation. Update self-evident correction queries in self-evident correction form per study requirements. Update reports and trackers regularly or as per study requirements. Any other duties as assigned by the supervisor or department. Skills and Qualifications- Knowledge of: MS Office Requirements of Good Clinical Practices Requirements of Good Documentation Practices Requirements of FDA 21 CFR Part 11 for Handling of Electronic Records

Job Title - Workplace Service Dev Associate CS&S Workplace Management Level : Level 12 Location:Gurgaon Must have skills: Document verification / Background verification process Good to have skills:MIS Reporting Roles & Responsibilities: Responsible for accurate Induction of Vehicle and Driver in TMS Handling Transport operation and Suppliers Induction related queries Daily Follow-up with Suppliers and operation team Transport Induction analysis and comparisons on a monthly and quarterly basis Managing BGC process end to end for Transport drivers, Security etc. Any other adhoc support part of this scope as required by induction teams/Workplace leadership Professional & Technical Skills: Minimum 3 Year of experience in Document verification process Preferably from Transport process background Strong Excel, PowerPoint, and other MS Office skills Customer-oriented; seeks solutions that will provide value to end-user Strong verbal and written communication skills. Good telephone etiquette skills. Able to communicate over the phone effectively. Able to deal with high stress situations. Additional Information: - This position is based at our Gurgaon office. About Our Company | Accenture Qualification Experience: Minimum 3 year(s) of experience is required Educational Qualification: Graduate in any discipline, B. Com preferably Job Summary :Data validation in Internal tool, Creation of MIS, Resolution of queries raised by Vendors/operations team regarding Vehicle and Driver Induction Physical check/inspection of vehicles as per Business requirements. Execute and establish Workplace Transport Induction process. Focuses on delivering a positive customer experience according to Accenture standards.

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data insights and analysis. - Incorporate new explorations and analyses based on feedback from the working group and prioritized tasks. Project Scaling and Support : - Contribute to the scaling of the SCI project by supporting data acquisition, cleansing, and validation processes for new markets. - This includes pre-requisites for batch ingestion and post-batch ingestion analysis and validation of SCI records. Data Analysis and Validation : - Perform thorough data analysis and validation of SCI records after batch ingestion. - Proactively identify insights and implement solutions to improve data quality. Stakeholder Collaboration : - Coordinate with business stakeholders to facilitate the manual validation of records flagged for manual intervention. - Communicate findings and recommendations clearly and effectively. Technical Requirements : - 5+ years of experience as a Data Scientist. - Strong proficiency in Python and SQL. - Extensive experience using Jupyter Notebook for data analysis and visualization. - Working knowledge of data matching techniques, including fuzzy logic. - Experience working with large datasets from various sources (Excel, databases, etc. - Solid understanding of data quality principles and methodologies. Skills : - SQL - Machine Learning (While not explicitly required in the initial description, it's a valuable skill for a Data Scientist and should be included) - Data Analysis - Jupyter Notebook - Data Cleansing - Fuzzy Logic - Python - Data Quality Improvement - Data Validation - Data Acquisition - Communication and Collaboration - Problem-solving and Analytical skills Preferred Qualifications (Optional, but can help attract stronger candidates) : - Experience with specific data quality tools and techniques. - Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP). - Experience with data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical modeling and machine learning algorithms

About the role We at Leap are looking to hire an intern for our Product team. It is a multifaceted and critical position that involves working closely with the Senior Leaders for driving special projects. Key Responsibilities Work closely with the senior leaders turning concepts into tangible achievement Dive into industry trends, discover competitor insights while also working on user research. Build a hypothesis to solve the different problem statements, execute, validate and scale the results. Align with stakeholders across the org to drive the actionables; be a driving force in cross-functional teams. Assist in presenting findings, recommendations, and progress updates to leadership. Support key projects and initiatives, ensuring they are on track and aligned with thecompany's objectives. Qualifications Prior experience in interning at a start-up. Good communication and presentation skills, both written and verbal. Ability to work collaboratively and effectively with diverse teams and stakeholders. High on agency with first principle problem solving approach

Career Area: Engineering : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. As an Engineer for E+ES India team, you will have opportunities to contribute on complex projects via Simulation, Development and Validation of complex electrical systems pertaining to battery management and battery chemistry. This will involve creating world class control software and evaluating software features using HIL benches. This role directly impacts Caterpillars current and future Battery and microgrid products being developed in an R&D environment. Job Duties/Responsibilities may include, but are not limited to: Define battery control strategy requirements and develop software features using tools like Matlab/Simulink/Simscape Develop test plans from software requirements and specifications Perform Black box testing and White box testing using simulators like Opal-RT, dSPACE, etc Run and execute battery test plans in battery cell simulators and HIL benches Modify and convert battery simulation models using MATLAB/Simulink tools for HIL Bench Develop automation scripts using Python and other tools Perform complex analysis, identify, and solve challenging battery controls software problems Lead new capabilities / projects to enhance the BMS controls and validation Basic Qualifications: Bachelors degree in Electrical/Electronic/ Mechanical Engineering 8 to 12 years experience with HIL testing, battery controls validation or modelling Experience in debugging and running test cases on Battery cell simulators and other HIL simulators Experience in plant model integration using tools like Matlab/Simulink, RT-Sim, Vector Canape, etc Experience and knowledge with Controls SW development and Validation Top Candidates Will Also Have: Experience and knowledge with Battery Management control system and battery software validation using HIL Benches Masters degree in an accredited Indian or Global Engineering schools Good knowledge of simulation tools like Simscape electrical etc Good knowledge on Software testing and scripting tools like Canalyzer, Python, etc Excellent analytical and communication skills Self-starter with strong technical leadership skills Enjoys working in a fast paced, technically challenging environment Posting Dates: July 2, 2025 - July 17, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

About the Role We are hiring a Data Conversion & ETL Test Lead (Ab Initio, SQL, Python) Location: Bangalore, Hyderabad Work Model: Hybrid - 2nd Shift 2-11 PM Experience: 6-12 Years Notice Period: Immediate to 15 Days Data Conversion Test Lead / ETL Lead Collaborate with upstream/downstream to understand Data workflows and requirements. Collaborate with business analysts, data architects, and developers to understand ETL requirements and data mapping documents. Experience with ETL tools such as Ab initio or similar Design and execute functional and integration test cases for ETL processes involving Oracle databases and related systems. Validate data transformations, mappings, and data loads (initial and incremental). Perform source-to-target data validation, data quality checks, and reconciliation. Analyze ETL job logs, and error reports, and track defects through resolution using tools like JIRA or ALM. Work closely with Oracle implementation teams to test data from Oracle EBS/ERP, Oracle Fusion, or other modules as applicable. Automate test cases where applicable using SQL or data testing tools. Perform data validation and testing to ensure data accuracy and integrity. Solid understanding of SQL and database concepts. Proven experience in ETL testing and automation. Strong proficiency in Python programming. Ensure compliance with industry standards and best practices in data testing. Knowledge of data warehousing and data modeling concepts. Mandatory skills: Data Conversion Testing, Ab Initio, SQL, ETL, Data Quality, Data Validation, Upstream/Downstream Validations, One year of experience in Python. Nice to Have: Oracle GL Implementation | R2R | P2P | Functional Testing

As a Data Migration Specialist at Hitachi Energy, you will play a crucial role in developing and executing comprehensive data migration strategies. Your primary responsibilities will include analyzing legacy systems, designing and implementing ETL processes using SAP BusinessObjects Data Services (BODS), and optimizing BODS jobs for performance and reliability. You will utilize your functional expertise in SAP SD, MM, and PP modules to ensure accurate data alignment and drive data quality improvement initiatives to enhance business process efficiency and analytics. To excel in this role, you should possess a Bachelor's degree in Computer Science, IT, or a related field, along with a minimum of 8 years of experience in SAP data migration, including familiarity with SAP S/4HANA. Proficiency in SAP BusinessObjects Data Services (BODS) and data migration tools is essential, as well as strong functional knowledge of SAP SD, MM, and PP modules. Your skills in data analysis, cleansing, and transformation techniques will be critical in conducting data validation, reconciliation, and testing to ensure data integrity. Successful candidates will demonstrate excellent problem-solving, analytical, and communication skills. The ability to work independently and collaboratively in team environments is paramount. While SAP certification and project management experience are considered advantageous, they are not mandatory. Join Hitachi Energy, a global technology leader dedicated to advancing a sustainable energy future for all. Our innovative solutions and services cater to customers in the utility, industry, and infrastructure sectors, driving the digital transformation necessary to accelerate the energy transition towards a carbon-neutral future. With a diverse workforce of around 45,000 employees across 90 countries, we embrace the power of diversity and collaboration to foster great innovation. Apply today to become part of our global team and contribute to shaping a brighter tomorrow.,

As an experienced SAP MDG (Master Data Governance) Consultant with over 5 years of hands-on experience, you will be responsible for implementing and supporting SAP MDG solutions. Your expertise in master data processes, customization, and integration with SAP ECC or S/4HANA systems will be crucial in managing master data lifecycles and ensuring data quality and governance standards across the organization. Your key responsibilities will include designing and implementing end-to-end SAP MDG solutions for master data objects such as Customer, Vendor, Material, and Finance. You will configure data models, UI modeling, workflow development, and BRF+ rules in SAP MDG, as well as integrate SAP MDG with ECC/S4HANA and non-SAP systems using standard and custom approaches. You will actively participate in requirement gathering, solution design, and the creation of functional and technical specifications. Ensuring high data quality and governance compliance through validation rules, duplicate checks, and approval workflows will be a critical part of your role. You will be expected to perform unit testing, support integration testing and UAT, and manage defect resolution. Additionally, you will prepare and maintain documentation, user manuals, and training materials, and provide support for production issues by conducting root cause analysis and resolution. Collaborating closely with both business and technical teams is essential to ensure the successful delivery of projects. Your required skills include a minimum of 5 years of strong experience in SAP MDG implementation and support, hands-on expertise in MDG Data Modeling, UI Modeling (FPM), Process Modeling (BRF+), and Rule-based Workflows. Deep knowledge of master data domains such as Customer, Vendor, Material, and Business Partner is also crucial, along with experience with SAP MDG on S/4HANA and Data Replication Framework (DRF). Integration experience with SAP ECC/S4HANA and third-party systems, proficiency in ABAP for debugging and enhancements, and experience with data validation, data cleansing, and data quality frameworks are also necessary for this role.,

You are invited to join our team as a Lead / Senior ETL & Data Migration QA Engineer in Hyderabad, India. In this role, you will play a crucial part in a significant data migration project, bringing your expertise in ETL testing, data validation, and cloud migration. Your primary responsibilities will include designing and implementing test strategies, executing test cases, validating data accuracy, and ensuring the integrity of large-scale data transformations. You will lead QA efforts across global teams, collaborating to deliver high-quality results. Your key responsibilities will involve developing robust test strategies for data migration and ETL processes, executing detailed test cases for data validation, performing SQL-based data testing, and using ETL tools like Talend for data pipeline validation. Additionally, you will lead QA activities for cloud data migration projects, coordinate testing efforts across teams, document test results and defects, and contribute to the development of automated testing frameworks. To qualify for this role, you should have at least 3 years of experience in QA with a focus on ETL testing, data validation, and data migration. Proficiency in SQL, hands-on experience with ETL tools such as Talend, Informatica PowerCenter or DataStage, familiarity with cloud data platforms like Snowflake, and understanding of semi-structured data formats like JSON and XML are essential requirements. Strong analytical and problem-solving skills, experience in leading QA efforts, and the ability to work in distributed teams are also necessary. Preferred skills for this position include experience with automated testing tools for ETL processes, knowledge of data governance and quality standards, familiarity with cloud ecosystems like AWS, and certification in software testing such as ISTQB. If you are passionate about quality assurance, data migration, and ETL processes, and are looking to make a significant impact in a dynamic work environment, we encourage you to apply for this role and be a part of our team dedicated to driving continuous improvement and excellence in QA practices.,

Responsibilities Collect, analyze, and interpret data Monitor data integrity and accuracy in reports and troubleshoot discrepancies. Collaborate internally with the Account Manager and with the team to get accurate data Support ad-hoc data analysis requests within the team if requirement arises Proper Data validation which has to be fed in the system Co-ordinate and troubleshoot issues related to portal which is due to data discrepancy Maintain data of the day to day activity accurately Knowledge and Skill Requirement Interpersonal skills - soft skills, social skills and active listening Should have excellent verbal and written communication skills (includes email etiquettes) Be flexible to work in shifts completely from office Advanced proficiency in Microsoft tools (PPT, Word, Excel - Data sorting & filtering, V lookup, etc.) and SQL is an added advantage Willingness to grasp information and have a productive approach A team player - Should know how to communicate and coordinate within a team, internal departments and with the clients Excellent analytical, problem-solving, and communication skills. Attention to detail and strong organizational skills. Education Any Degree or professional certification or equivalent Eligibility/Experience 1+ yrs of experience

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Summary: As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities for Data Platforms and Data Engineering Community. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities The Data Engineer will be responsible for designing, building, and maintaining the data products, evolution of the data products, and utilize the most suitable data architecture required for our organizations data needs. Serves as the Subject Matter Expert on Data & Analytics Solutions. Accountable for delivering high quality, data products and analytic ready data solutions. Develop and maintain ETL/ELT pipelines for ingesting data from various sources into our data warehouse. Develop and maintain data models to support our reporting and analysis needs. Optimize data storage and retrieval to ensure efficient performance and scalability. Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements. Ensure data quality and integrity through data validation and testing. Implement and maintain security protocols to protect sensitive data. Stay up-to-date with emerging trends and technologies in data engineering and analytics Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to shape and adopt data and technology strategy. Accountable for evaluating Data enhancements and initiatives, assessing capacity and prioritization along with onshore and vendor teams. Knowledgeable in evolving trends in Data platforms and Product based implementation Manage and provide guidance for the data engineers supporting projects, enhancements, and break/fix efforts. Has end-to-end ownership mindset in driving initiatives through completion Comfortable working in a fast-paced environment with minimal oversight Mentors and provide career guidance to other team members effectively to unlock full potential. Prior experience working in an Agile/Product based environment. Provides strategic feedback to vendors on service delivery and balances workload with vendor teams. Qualifications & Experience Hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. Ability to craft and architect data solutions, automation pipelines to productionize solutions. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Glue, Redshift, Athena, lakeformation, etc. ). Cloudera Data Platform, Tableau labs is a plus. Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, PySpark, R, PyTorch, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or GCP (Preferably strong in AWS) Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion. AWS Data Engineering/Analytics certification is a plus. If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Challenging. Meaningful. Life-changing. Those aren t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers. bms. com/working-with-us . Summary: As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities for Data Platforms and Data Engineering Community. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities The Data Engineer will be responsible for developing and maintaining ETL/ELT pipelines for ingesting data from various sources into our data warehouse. Work with an end-to-end ownership mindset, innovate and drive initiatives through completion. Optimize data storage and retrieval to ensure efficient performance and scalability Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements Ensure data quality and integrity through data validation and testing Implement and maintain security protocols to protect sensitive data Stay up-to-date with emerging trends and technologies in data engineering and analytics Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to enable adoption of data and technology strategy. Knowledgeable in evolving trends in Data platforms and Product based implementation Comfortable working in a fast-paced environment with minimal oversight Prior experience working in an Agile/Product based environment. Qualifications & Experience 2-3 years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in AWS cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. In-depth experience with AWS Glue service and data engineering ecosystem on AWS. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services ( Redshift, Athena, lakeformation, etc. ), Cloudera Data Platform, Tableau labs is a plus Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, PySpark, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. With a single vision as inspiring as Transforming patients lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms. com . Visit careers. bms. com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers. bms. com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

PEI Group is a subscriber-focused business intelligence company that focuses on private investment markets in real estate, infrastructure, private equity, private debt, and specialist sector-specific activities within private asset classes. We provide industry-leading journalism, data, and market insight to subscribing clients via a wide portfolio of specialist brands supported by our robust and scalable digital publishing, analytics, and database platform. Since its inception in 2001, we have grown into a subscriber-focused business intelligence company with our multi-talented global team of over 400 people spread across EMEA, USA & Asia. We aim to inform and connect investment professionals across global, specialised markets. As a Senior Business Analyst , you will report to the Lead Business Analyst and support the successful execution of existing and new subscription data and information, events, and related membership products. You will also liaise between business stakeholders and IT teams in analysing, defining, and documenting business requirements for data and analytics projects and change initiatives that support and contribute to the company s growth. Roles and responsibilities: Collaborating with internal stakeholders, Product management, and the product software delivery teams to analyse user needs and functional requirements. Creating artefacts, including user stories, Product Backlog Items, specification or support documents, process flows and carrying out related admin tasks Working with software engineers and other cross-functional roles as required throughout each sprint Analysing, testing and implementing new functionality as part of a larger project team Collecting, understanding, and transmitting the projects business requirements and translating these into functional and non-functional specifications. Liaising with Software Engineers, Project Managers, QA team, UX team and other stakeholders during various stages of the Project. Assist in project planning, estimation, and resource allocation. Maintain accurate and up-to-date project documentation throughout the project lifecycle. Identify areas for process optimization and efficiency enhancement. Key Requirements: A minimum of 6+ years experience as a Business Analyst on a transformation project or as a member of an IT solution delivery team is required. High proficiency in Microsoft Office tools, including Excel, Word and PowerPoint . Knowledge of SDLC methodologies ( Agile methodology experience preferable). Ability to work independently and manage multiple tasks and priorities in a dynamic environment. Strong communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels. Analytical mindset, capable of critical thinking and problem-solving skills. Good to Haves: A minimum of 3+ years experience working on complex analysis of datasets and data validation. A minimum of 3+ years experience in Data query languages , Data Mapping & Data Modelling

Job Description: Ataccama Support Engineer Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Resource should have 2+ years experience in Ataccama Support software application Experience in data quality, governance, and metadata management. Extensive knowledge of Ataccama, ADF, SQL Open for 24*7 support swift rotation. Experience in business processing mapping of data and analytics solutions Monitor and support Ataccama Data Quality rules execution and profiling jobs. Troubleshoot data validation, anomaly detection, and scorecard generation issues. Perform patching, software upgrades, and ensure compliance with latest platform updates. Work with business teams to resolve data integrity and governance-related incidents. Maintain SLA commitments for resolving incidents and ensuring data accuracy. Experience with Ataccama ONE platform and knowledge of SQL for data validation. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Senior Data Operations Specialist Our Partner International Funds Limited (MIFL) is a management company that undertakes significant proprietary R&D and collaborates with selected international partners, leveraging on its open innovation platform and proprietary process (MedInSynC ), to develop in-house solutions tailored to meet clients needs As an established organisation setting up operations in Bangalore, we are seeking highly-skilled, professional and committed people who understand the importance of our service to customers across the world and our environmental responsibility. The Senior Data Operations Specialist is responsible for driving the delivery, governance, and continuous improvement of data quality and integrity across our information ecosystem. This senior role involves managing and enhancing data pipelines, ensuring compliance with data governance frameworks, and collaborating with cross-functional teams to improve operational efficiency. ROLES AND RESPONSIBILITIES Lead and oversee data operations processes, including data ingestion, integration, quality monitoring, and reporting, ensuring adherence to established standards and protocols. Design, implement, and manage comprehensive data quality frameworks, including automated monitoring systems and proactive alerts. Collaborate closely with the Senior Data Quality Engineer to ensure the robustness and scalability of data pipelines and processes. Identify and address root causes of data quality issues, developing long-term strategic solutions to mitigate future errors. Mentor and guide junior data specialists, fostering knowledge sharing and process standardisation. Partner with data stakeholders and external vendors to resolve data quality challenges and enforce data governance practices. Define and codify complex data quality rules and transformations within the Informatica platform. SKILLS / COMPETENCIES 5+ years of experience in data operations, quality management, or a related technical field. Proven expertise in executing data quality frameworks, with a deep understanding of data governance and data lifecycle management. 2+ years of experience in Informatica Cloud (including Informatica Data Quality tools) and other data quality platforms. Experience with data modelling, data lineage, and metadata management. Ability to analyse complex datasets, identify anomalies, and implement automated data validation solutions. Strong programming and scripting skills (e.g., SQL, Python ) to support data operations and automation. Exceptional problem-solving abilities with a proactive approach to identifying and resolving data issues. Ability to lead and mentor junior team members, fostering collaboration and technical development. Excellent verbal and written communication skills, with the ability to present findings to both technical and non-technical stakeholders. Bachelors degree in Computer Science, Data Analytics, or a related field.

The ServiceNow Engineer is responsible for the development, configuration, and maintenance of the ServiceNow platform, with a focus on CMDB (Configuration Management Database) and Reporting. This role ensures accurate tracking of IT assets, maintains CMDB health, and delivers meaningful insights through reporting and analytics. The engineer will work closely with IT teams to automate workflows, integrate systems, and support ServiceNow enhancements. Responsibilities ServiceNow Development & Administration Configure and customize ServiceNow modules including ITSM, CMDB, and Reporting. Develop and maintain workflows, UI policies, business rules, and scripts to automate processes. Integrate ServiceNow with external systems using REST/SOAP APIs and Integration Hub. CMDB Configuration & Maintenance Maintain and enhance CMDB to ensure accurate tracking of IT assets and relationships. Perform regular audits and data validation to resolve duplicate, stale, or incorrect data. Implement and configure new CIs and relationships based on business requirements. Work with ServiceNow Discovery & Service Mapping to automate CI population and maintain data integrity. Ensure CMDB health and compliance by following ITIL best practices. Integrate CMDB with external tools (e.g., Azure, monitoring tools). Reporting & Analytics Create and manage ServiceNow reports, dashboards, and Performance Analytics. Design custom reports for incidents, changes, assets, and CMDB health. Work with stakeholders to define key performance indicators (KPIs) and insights. Troubleshooting & Platform Support Identify and resolve ServiceNow platform issues, ensuring system stability. Manage ServiceNow upgrades, patches, and performance optimizations. Maintain security and role-based access controls (RBAC). Qualifications Required Skills: Technical Skills Strong experience with ServiceNow development, administration, and CMDB management. Expertise in CMDB configuration, Discovery, and Service Mapping. Hands-on experience in ServiceNow Reporting, Dashboards, and Performance Analytics. Proficiency in JavaScript, Glide API, Flow Designer, and Integration Hub. Familiarity with ITIL processes, ITSM, and ITOM modules. Soft Skills Strong problem-solving and analytical abilities. Excellent communication and collaboration skills. Ability to work in an Agile environment and manage multiple priorities. Location & Hours of Work: Hyderabad and Hybrid (11:30 AM IST to 8:30 PM IST)

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Data Engineer We are looking for a Data Engineer to join the Payment Engine Data team in Bengaluru, our newest Adyen office. The main goal of the Payment Engine Data (PED) team is to provide insightful data and solutions for processing payments using all of Adyens payment options. These consist of various data pipelines between various systems, dashboards offering insights into payment processing, internal and external reporting, additional data products, and infrastructure. The ideal candidate is able to understand the business context and relate it to the underlying data requirements. You should also excel at building top-notch data pipelines on our big data platform. At Adyen, your work as a Data Engineer will be vital in forming our data infrastructure and guaranteeing the seamless flow of data across various systems. What you ll do Develop High-Quality Data Pipelines: Design, develop, deploy, and operate ETL/ELT pipelines in PySpark. Your work will directly contribute to the creation of reports, tools, analytics, and datasets for both internal and external use. Collaborative Solution Development: Partner with various teams, engineers, and data analysts to understand data requirements and transform these insights into effective data pipelines. Orchestrate Data Flow: Utilise orchestration tools to manage data pipelines efficiently, experience in Airflow is a significant advantage. Champion Data Best Practices: Advocate for performance, testing, code quality, data validation, data governance, and discoverability. Ensure that the data provided is accurate, performant, and reliable. Performance Optimisation: Identify and resolve performance bottlenecks in data pipelines and systems. Optimise query performance and resource utilisation to meet SLAs and performance requirements, using technologies such as caching, indexing, partitioning, and other Spark optimizations. Knowledge Sharing and Training : Scale your knowledge throughout the organisation, enhancing the overall data literacy. Who you are Experienced in Big Data: At least 5 years of experience working as a Data Engineer or in a similar role. Data & Engineering practices: You possess an expert-level understanding of both Software and Data Engineering practices. Technical Super Star: Highly proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git, S3. Looker is a plus. Clear Communicator: Skilled at articulating complex data-related concepts and outcomes to a diverse range of stakeholders. Self-starter: Capable of independently recognizing opportunities, devising solutions, leading, prioritizing and owning projects. Innovator: You have an experimental mindset with a launch fast and iterate mentality. Data Culture Champion: Experienced in fostering a data-centric culture within large, technical organizations and setting standards for excellence and continuous improvement. Data positions at Adyen: We know companies handle different definitions for their data-related positions, this is for instance dependent on the size of a company. We categorized and defined all our positions. Have a look at this blogpost to find out! Our Diversity, Equity and Inclusion commitments Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here . Don t be afraid to let us know if you need more flexibility. This role is based out of our Bengaluru office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Ataccama Support Engineer Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Resource should have 2+ years experience in Ataccama Support software application Experience in data quality, governance, and metadata management. Extensive knowledge of Ataccama, ADF, SQL Open for 24*7 support swift rotation. Experience in business processing mapping of data and analytics solutions Monitor and support Ataccama Data Quality rules execution and profiling jobs. Troubleshoot data validation, anomaly detection, and scorecard generation issues. Perform patching, software upgrades, and ensure compliance with latest platform updates. Work with business teams to resolve data integrity and governance-related incidents. Maintain SLA commitments for resolving incidents and ensuring data accuracy. Experience with Ataccama ONE platform and knowledge of SQL for data validation. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Edge AI Data Scientists will be responsible for designing, developing, and validating machine learning modelsparticularly in the domain of computer visionfor deployment on edge devices. This role involves working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anomaly detection. The position requires close collaboration with embedded systems and AI engineers to ensure models are lightweight, efficient, and hardware-compatible. Candidate Requirements Education Bachelor"s or Masters degree in Data Science, Computer Science, or a related field. Experience 3+ years of experience in data science or machine learning with a strong focus on computer vision. Experience in developing models for edge deployment and real-time inference. Familiarity with video/image datasets and deep learning model training. Skills Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow, and FastAI. Experience with model optimization techniques (quantization, pruning, etc.) for edge devices. Hands-on experience with deployment tools like TensorFlow Lite, ONNX, or OpenVINO. Strong understanding of computer vision techniques (e.g., object detection, segmentation, tracking). Familiarity with edge hardware platforms (e.g., NVIDIA Jetson, ARM Cortex, Google Coral). Experience in processing data from camera feeds or embedded image sensors. Strong problem-solving skills and ability to work collaboratively with cross-functional teams. Your Profile Responsibilities Develop and train computer vision models tailored for constrained edge environments. Analyze camera and sensor data to extract insights and build vision-based ML pipelines. Optimize model architecture and performance for real-time inference on edge hardware. Validate and benchmark model performance on various embedded platforms. Collaborate with embedded engineers to integrate models into real-world hardware setups. Stay up-to-date with state-of-the-art computer vision and Edge AI advancements. Document models, experiments, and deployment configurations. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and iCa sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

This role involves the development and application of engineering practice and knowledge in the following technologiesDesign of mechanical systems, devices, equipment and machines; installing and maintaining mechanically functioning equipment; simulating a wide range of interactions and evaluate performance in real world scenarios; and develop prototype for manufacturability, testing and validation. - Grade Specific Focus on Mechanical and Physical Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

highly skilled and experienced Design and Development Engineer with a minimum of 5 years of relevant expertise in the design and development of industrial processing equipment and solutions for the cakes, pies, cookies, biscuits, crackers, and snacks industry. Responsibilities / Tasks We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong foundation in data analysis, statistical methods, and machine learning techniques. They will be responsible for transforming data into actionable insights to drive decision-making processes and improve business performance. Responsibilities Analyze large datasets to identify trends, patterns, and insights. Develop and implement machine learning models and algorithms. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Present findings and recommendations to stakeholders through reports and visualizations. Ensure data integrity and accuracy by performing regular data validation and cleansing. Stay updated with the latest industry trends and advancements in data science and machine learning. Your Profile / Qualifications Bachelors or Master s degree in Data Science , Statistics, Computer Science, or related field. >5 years p roven experience as a Data Scientist or in a similar role. Strong proficiency in programming languages such as Python, SQL . Experience with data visualization tools like Tableau, Power BI, or Matplotlib. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch , or scikit-learn. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to convey complex information to non-technical stakeholders . Experience with big data technologies such as Hadoop, Spark, or cloud platform . Did we spark your interest? Then please click apply above to access our guided application process.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Senior Analyst - Technology Roche Services & Solutions India Hyderabad / Chennai A healthier future. It s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That s what makes us Roche. Roche has established Global Analytics and Technology Center of Excellence (GATE) to drive analytics & technology driven solutions by partnering with Roche affiliates across the globe. Your Opportunity: The Senior Tech Analyst will work with the US based Master Data Management (MDM) team of Roche and support data stewardship and MDM Operations related activities. In this role, you will be expected to work with the stakeholders across various business functions, MDM team and the GATE - India & Costa Rica team. Your role will include providing support in developing insights and strategies that optimize data-related processes, contributing to informed decision-making. Perform Data Stewardship activities and process the Data Change Requests related to Health Care Master Data. Conduct matching and merging of the Master records. Ensure the newly on-boarded data set are accurate, complete and adhere to currently defined data standards. Perform analysis and required maintenance of the Master Data including HCPs, HCOs, Payer / Managed Care and Affiliations. Help devise an adaptable governance methodology to enable efficiency and effectiveness in data operations, as it relates to MDM, data integration, taxonomy, and reporting & analytics. Foster effective communication and collaboration among cross-functional teams to understand data needs and deliver relevant information. Comprehend stakeholder requirements, prioritize tasks, and effectively manage day-to-day responsibilities, including liaising with MDM teams and coordinating with GATE team. Present findings and recommendations to senior management on various initiatives and process improvements. Who You Are: 4+ years of experience in Data Steward / Data Analyst role, particularly in MDM Operations and Data Stewardship, or related functions preferably in Pharma / Life Science / Biotech domain. Experience working on Reltio MDM Hub configurations - Data modeling & Data Mappings, Data validation, Match and Merge rules, building and customizing API services Parent / child Relationships, Workflows and LCA. Knowledge of MDM systems like Informatica MDM / Reltio; Pharma CRM systems like Salesforce, OCE, Veeva CRM; Cloud platforms like AWS / Google / Azure is a strong plus. Strong proficiency in Excel and SQL, along with knowledge of at programming language such as Python, PySpark. Excellent verbal and written communication skills, capable of interacting with senior leadership and stakeholders effectively. Proven ability to work independently, make decisions with minimal supervision, and prioritize tasks effectively. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. Has a Bachelor s or Master s Degree (computer science, engineering or other technical disciplines) in Pharma is a plus. Who we are A healthier future drives us to innovate. Together, more than 100 000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let s build a healthier future, together. Roche is an Equal Opportunity Employer. "