948 Metadata Jobs - Page 13

Key Responsibilities: Design and Develop AI-Powered Solutions: Lead the design, development, and deployment of AI-powered solutions using Azure OpenAI, Azure Databricks, and other components or our technology stack. Data Engineering : Build and maintain scalable data pipelines using Azure Data Factory, Azure Functions, and Kafka. Ingest and transform data from SQL Server, Cosmos DB, and Snowflake. Search & Retrieval : Implement semantic search using Azure Search Index and vector databases (e. g. , Azure Cosmos DB with vector search, MongoDB vCore). Apply hybrid retrieval techniques for RAG applications Document Intelligence : Use Azure Document Intelligence to extract structured data from unstructured formats (PDFs, Office docs, JSON). Enable OCR, chunking, and metadata propagation for downstream analytics Technical Leadership: Provide technical leadership and guidance to junior data scientists and engineers on Databricks, and AI agent development. Mentor and coach team members to improve their skills and expertise. AI Agent Development: Design and develop AI agents using Mosaic AI and other relevant technologies. Collaborate with stakeholders to identify opportunities for AI agents to drive business value. Data Science Innovation: Stay abreast of the latest advancements in data science and AI, identifying opportunities to apply new techniques and technologies to drive business innovation. Collaboration and Communication: Collaborate with stakeholders across the organization to identify business problems and develop data-driven solutions. Communicate complex technical concepts to non-technical stakeholders, driving adoption and understanding of data science solutions. Requirements: Education/Experience: Degree or advanced degree in data science, physics, mathematics, statistics, computer science or related quantitative field. BS and 10+ years related experience or MS and 7+ years related experience or PhD and less than 2 years experience. 1-3 Years Supervisory experience preferred. Technical Skills: Proficiency in Databricks, or a similar platform like AWS SageMaker, Azure Machine Learning, Vertex AI, and others. Experience with Azure OpenAI, Azure Search, Vector DBs, and Document Intelligence Strong programming skills in languages such as Python, Scala, SQL, etc. Familiarity with Kafka, Event Hub, and FiveTran for streaming and ingestion Ability to work with multi-modal embeddings and semantic search techniques Familiarity with data engineering, data warehousing, and data governance. Soft Skills: Excellent communication and collaboration skills. Strong leadership and mentoring skills. Ability to drive innovation and stay up to date with the latest advancements in data science and AI. Nice to Have: Experience with Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or Google Cloud. Experience with AI agents: Experience developing AI agents using Mosaic AI or similar code-first platforms. Certifications: Databricks or Mosaic AI certifications are a plus. Open-Source Contributions: Contributions to open-source projects related to data science, machine learning, or AI.

Contract : 6months Position Summary : We are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. This role demands deep expertise in designing and governing data structures, ensuring data consistency, and leading data transformation initiatives across large-scale SAP implementations. Key Responsibilities : - Lead the data architecture design across multiple SAP modules and legacy systems. - Define data governance strategies, master data management (MDM), and metadata standards. - Architect data migration strategies for SAP S/4HANA projects, including ETL, data validation, and reconciliation. - Develop data models (conceptual, logical, and physical) aligned with business and technical requirements. - Collaborate with functional and technical teams to ensure integration across SAP and nonSAP platforms. - Establish data quality frameworks and monitoring practices. - Conduct impact assessments and ensure scalability of data architecture. - Support reporting and analytics requirements through structured data delivery frameworks (e.g., SAP BW, SAP HANA). Required Qualifications : - 15+ years of experience in enterprise data architecture, with 8+ years in SAP landscapes. - Proven experience in SAP S/4HANA data models, SAP Datasphere, SAP HANA Cloud & SAC and integrating this with AWS Data Lake (S3) - Strong knowledge of data migration tools (SAP Data Services, LTMC / LSMW, BODS, etc.). - Expertise in data governance, master data strategy, and data lifecycle management. - Experience with cloud data platforms (Azure, AWS, or GCP) is a plus. - Strong analytical and communication skills to work across business and IT stakeholders. Preferred Certifications : - SAP Certified Technology Associate SAP S/4HANA / Datasphere - TOGAF or other Enterprise Architecture certifications - ITIL Foundation (for process alignment)

Your Impact: Good Logical and Analytical skills. Clear verbal and written communication capability.Strong communication skills. Have the ability to present and explain content to team, users and stakeholder.Experience in Pre sales and sales domain would be advantage . What the role offers: Excellent knowledge of Enterprise Content Management and Governance Domain (Data Discovery / Analysis / Classification and Management). Experience on Sensitive information management or PII discovery on unstructured data. (GDPR). Strong experience on TRIM/HPRM/HP Records Manager/Opentext Content Manager Deployment, customization and Upgrade. Experience in Data Governance, Metadata Management and Data Quality frameworks using TRIM/HPRM/Records Manager/Opentext Content Manager. Strong experience in leading the end-to-end design, Architecture, and implementation of ECM (Enterprise Content Management) solutions. Strong experience on defining and implementing Master Data Governance Process including Data Quality, Metadata Management, and Business ownership. Experience in managing extremely large records sets and hundreds of users across global sites. Experience with Enterprise Content Management cloud solution and migration. Experienced on TRIM/Records Manager/Content Manager integration with third party applications like SharePoint, Iron Mountain, O365 etc. Strong knowledge of Content Manager Security, audit configurations and workflow. Hands on Experience on SQL Database queries. Microsoft C#.NET (Programming language C#) Web Services development Web App development Windows Scheduler development Content Manager/Records Manager with .NET SDK (programming) Used in above mentioned Web Services and Windows Scheduler Custom Add-Ins development. Troubleshoot problems as necessary. What you need to Suceed : Experience on Capture, Imaging and Scanning products and technologies. Hands On experience on ECM products like Opentext xECM, Content Server. Cloud Certification Knowledge of Operation system (Win/Unix) and basic networking.

You will play a crucial role in revolutionizing medical image diagnostics by providing intelligent, ethical, and patient-centric care. We are seeking individuals with a passion for innovation and problem-solving capabilities. You should be able to empathize with consumers, address business challenges, and develop intelligent solutions. Previous experience in handling medical imaging data from various sources is essential, including a deep understanding of different image modalities such as DICOM. Proficiency in DICOM standards for imaging, communication, and reporting is a key requirement. Collaboration with annotation and PACS teams, alongside performing image preprocessing and enhancements, will be at the core of your responsibilities. Your main responsibilities will include building DICOM data pipelines, integrating them with PACS, viewers, and EMRs. You will ensure data retrieval and collation from various databases in compliance with DICOM standards. Understanding metadata, image compression, and seamless transition of parameters from DICOM to NIFTI are crucial. Your role will involve eliminating viewer and acquisition-dependent variables between image series, ensuring data homogeneity for AI model processing. Additionally, you will preprocess and enhance images, integrate AI diagnosis analyses, and work on DICOM SEG and DICOM SR nuances. Your skills and qualifications should include a strong grasp and hands-on experience with DICOM as an imaging standard, communication protocol, and reporting format. Familiarity with different medical imaging formats, DICOM SEG, and DICOM SR is required. You should possess knowledge of manufacturer-specific and machine-specific imaging differences and methodologies to resolve them. Proficiency in DICOM communication standards, DICOMWeb, and data transfer protocols is necessary. Experience with libraries like Pydicom, nibabel, SimpleITK, dcmqi, and dcm2niix will be advantageous. Moreover, you should have a comprehensive understanding of DICOM and NIFTI metadata, as well as medical imaging tests like MRI and CT. Knowledge of interoperability frameworks such as FHIR and HL7 is a plus. Strong communication, analytical, and problem-solving skills are essential, with an eagerness to adapt to new technologies. Your educational background should include a BE/B Tech degree.,

Strong hands-on experience in Tableau workbooks, datasets, calculated fields, go-to actions, embedding, and performance tuning. Skilled in Tableau Server operations, including scheduling, data extract automation, and production deployments. Proficient in embedding dashboards into external applications and enabling seamless interactivity. Expertise in dashboard performance optimization with focus on best practices and efficiency. Strong backend knowledge in Athena and SQL for data ingestion and preparation. Successfully built interactive, user-friendly dashboards with dynamic filters and drill-down capabilities. Experienced in collaborating with ETL and admin teams for smooth end-to-end dashboard delivery. Led Tableau interviews, trainings, and small functional teams effectively. Excellent communication skills with the ability to present insights to non-technical stakeholders. Skilled in effort estimation, user story sizing, and Agile project costing.

Overview of the job We are looking for a results-driven Executive - SEO to lead our organic growth strategies in the Indian market. You will be responsible for driving search visibility, increasing organic traffic, and improving conversions across multiple digital platforms. This role requires a blend of technical SEO expertise, strategic thinking, and leadership skills to manage a team and execute high-impact SEO campaigns. Key Responsibilities: SEO Strategy & Execution: Develop and implement data-driven SEO strategies to improve search rankings and organic traffic for the Indian market. On-Page & Technical SEO: Optimize website structure, content, metadata, and internal linking to enhance search visibility. Conduct regular site audits and implement fixes. Off-Page SEO & Link Building: Develop and execute effective link-building strategies to improve domain authority. Content & Keyword Optimization: Collaborate with content teams to ensure SEO-friendly content, targeting high-intent keywords. Local & E-commerce SEO: Optimize for Google My Business, local search, and e-commerce platforms (if applicable). Marketplace SEO: Optimize product listings, conduct keyword research, improve rankings, analyze performance, enhance visibility, manage content, track trends, and drive organic traffic & product sales. Analytics & Reporting: Monitor key SEO KPIs (traffic, rankings, conversions) using tools like Google Analytics, Search Console, and SEMrush/Ahrefs. Generate reports with actionable insights. Collaboration: Work closely with developers, content creators, and digital marketing teams to ensure alignment with overall business objectives. SEO Trends & Algorithm Updates: Stay updated on Google algorithm changes and emerging SEO trends to implement best practices. Requirements: 1+ years of SEO experience. In-depth knowledge of Google s algorithms, ranking factors, and search engine best practices . Hands-on experience with SEO tools like Google Analytics, Search Console, SEMrush, Ahrefs, Screaming Frog, etc. Strong understanding of technical SEO , including schema markup, site speed, and mobile optimization. Experience with content marketing & keyword research tailored for the Indian audience. About GroupM Nexus GroupM Nexus is the industry s largest community of performance marketing experts designed to drive performance and innovation at scale for GroupM s agencies and clients. With the most platform accreditations in the industry combined with proprietary technology, media, and solutions, culture of continuous innovation and scaled partnerships, GroupM Nexus consistently sets new benchmarks for effectiveness and efficiency across all forms of media to drive growth for the world s leading advertisers. About India At GroupM India, there s never a dull moment between juggling client requests, managing vendor partners and having fun with your team. We believe in tackling challenges head-on and getting things done.

At Amazon.com, we strive to be Earth s most customer-centric company. To support this vision, we need talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have good business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its compliance team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

We re not yesterday s IT department, were Digital Technology. The world around us keeps changing and so do we. We re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers when you work in ServiceNow Digital Technology, you work for them. Position Summary: We are seeking a results-driven Director of Data Informatics Management to lead the execution and delivery of our enterprise Master Data and AI initiatives in a fast-paced, high-growth environment. This role is responsible for establishing a single, trusted source of truth across critical data domains such as Customer, Product, Vendor, and Person, leveraging the latest NOW and AI technologies and enabling business agility through clean, consistent, and governed data. You will work closely with cross-functional business and technology leaders to accelerate data readiness for business outcomes like revenue, pipeline, operational efficiency, compliance, and AI/analytics initiatives. Key Responsibilities : Own the delivery of Master Data initiatives from implementation through business adoption leveraging the NOW platform and related technologies Lead Master Data workstreams with clear timelines, milestones, and accountability; ensure deliverables are met on time and within scope and budget Break down complex requirements into rapid, incremental delivery sprints (Agile mindset). Drive issue resolution and escalate roadblocks with urgency to maintain momentum. Partner with business and DT leaders to ensure alignment between Master Data initiatives and business outcomes. Advocate for data as a strategic asset and champion data-driven decision-making. Establish and lead enterprise Master Data governance policies, stewardship programs, and data quality standards. Define ownership, accountability, and controls for master data domains. Ensure compliance with regulatory requirements and data privacy laws. Oversee the design and implementation of Master Data solutions including data models, taxonomies, hierarchies, and reference data. Develop and monitor KPIs for data quality and master data lifecycle management. Drive continuous improvement in data accuracy, completeness, consistency, and usability. Partner with Enterprise Architecture on Enterprise Standards and Reviews Work closely with product management teams to translate stakeholder feedback into product features and improvements. Partner with Functional and Engineering Leads across DT and business teams in the US and India to deliver high impact and high velocity programs from India Deliver integration programs for Master Data with enterprise applications Lead the roadmap for Master Data tool enhancements and scalability Evaluate emerging technologies and third-party solutions to drive innovation and maintain a competitive edge. Champion adoption of new tools, architectures (e.g., cloud, microservices), and automation practices that support scalability and agility Build and lead a high-performing team of data professionals including data engineers, quality engineers and analysts Foster a culture of collaboration, innovation, and accountability. Provide mentorship, professional development, and performance management. What will help you succeed Understanding of the NOW Platform and implementation strategies Curiosity about the latest AI technologies Strong communication The ability to work with ambiguity The ability to provide quick solutions with little information Proactiveness to connect the dots and tie efforts and outcomes to business priorities Agility to switch gears and context Strong Team Ethics Required Qualifications: Bachelor s degree in Information Systems, Computer Science, Business, or a related field (Master s preferred) Over 15 years of experience in data management,

Open Insights are seeking a highly motivated and experienced Data and AI Consultant / Senior Consultant to join our dynamic team. This hybrid role requires a strategic thinker with a strong technical foundation in data, AI, and IT systems. The ideal candidate will bring 8-12 years of experience in consulting, demonstrating the ability to drive data-centric initiatives, lead client engagements, and deliver transformative technology solutions. You will play a pivotal role in guiding clients through their data and AI journeys from strategy formulation and governance to implementation of advanced analytics and AI automation. Your expertise will help clients optimize their IT infrastructure, establish data governance frameworks, and adopt cutting-edge technologies to achieve measurable business outcomes. This is a high-impact role suited for professionals who thrive in cross-functional environments, are passionate about innovation, and excel at translating complex business challenges into practical, data-driven solutions. Responsibilities Strategic Data & AI Advisory: Lead the development of data and AI strategies that align with clients business objectives, enabling digital transformation and data-driven decision-making. Data & AI Strategy: Design comprehensive data and AI roadmaps, helping clients unlock insights and drive innovation through advanced analytics and automation. Data Governance Leadership: Design and implement data governance frameworks including policies, roles, processes, and tools to ensure data quality, security, compliance, and usability across the organization. Guide clients on data stewardship, metadata management, master data management (MDM), and regulatory compliance (e.g., GDPR, HIPAA). IT Infrastructure Optimization: Oversee the assessment and optimization of clients IT infrastructure, systems, and processes to enhance efficiency and scalability. Technology Consulting: Provide expert guidance on the selection, deployment, and integration of technology solutions including software, hardware, cloud, and network systems. Cross-functional Collaboration: Work closely with engineering, business, and data teams to deliver tailored, end-to-end IT solutions that meet client-specific needs. Assessment & Solution Design: Conduct detailed assessments of clients IT environments and recommend targeted improvements or transformations. AI & ML Automation: Architect and deploy machine learning and AI solutions to optimize operations, automate decision-making, and generate business insights, using best-in-class technologies and platforms. Client Relationship Management: Serve as a trusted advisor, cultivating long-term relationships with clients and providing continuous strategic support. Innovation & Best Practices: Stay ahead of industry trends in data, AI, and IT strategy, bringing new ideas and continuous improvement to client engagements and internal consulting frameworks. Workshops & Enablement: Facilitate client workshops, training sessions, and capability-building engagements to foster adoption of data and AI practices. Governance & Risk Oversight: Identify and mitigate risks related to data use, technology implementation, and regulatory compliance. Methodology Development: Contribute to the evolution of internal consulting frameworks, tools, and best practices to enhance team performance and service quality. Monitoring & Reporting: Track project progress against milestones and communicate updates to clients and leadership, ensuring transparency and alignment. Qualification Education: Bachelor s or Master s degree in Computer Science, Data Science, Business Analytics, or a related field. Experience: 8-12 years in consulting roles with a focus on data strategy, AI/ML, and project management. Technical Skills: Proficiency in data analytics tools (e.g., Python, R), machine learning frameworks (e.g., TensorFlow, scikit-learn), and data visualization platforms (e.g., Tableau, Power BI). Certifications: Relevant certifications such as PMP, Certified Data Management Professional (CDMP), or equivalent are advantageous. Soft Skills: Excellent communication, problem-solving, and interpersonal skills. Ability to work collaboratively in a team environment. Skills and Abilities Strong analytical and problem-solving skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Detail-oriented with a strong commitment to data security. Familiarity with data security tools and technologies. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Familiarity with regulatory standards related to data privacy and security (e.g., GDPR, HIPAA). Demonstrated ability to drive business development and contribute to practice growth. Apply Now HR@open-insights.com

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: Gartner is looking for a full-time Salesforce DevOps Engineer to join the Salesforce DevOps and Release team. As a key member of the Salesforce DevOps team, you will be working closely with Salesforce Platform and Development team to manage day-to-day code deployment and CI/CD activities on Salesforce Orgs. You will also be responsible for periodic maintenance of various salesforce non-production orgs/sandboxes including scheduled Production Releases and Hotfixes. What you will do: Understand the requirements and provide one or more options for the solution, utilizing Salesforce best practices. Perform hands-on solution design, proof-of-concepts and development and testing tasks as required in support of the implementation activities. Manage critical customer cases and maintain clear and concise case documentation. Work with a cross-functional SCRUM team to maintain and enhance SFDC Platform Research and find opportunities to utilize SFDC best practices, guidelines to improve system productivity scaling and monitoring. Participate in code reviews, peer inspections, and technical design/specifications. Managing the incidents and resolutions with a strong emphasis on root cause analysis What you will need: Experienced professional with 4+ years of relevant experiences in the force.com platform, understanding SFDX tools and salesforce components. The candidate should have a strong knowledge of Salesforce Setup Objects, administration, and deployment activities. Experience deploying code to Salesforce non-production or production orgs. . Must have: Experience in Jenkins Job configurations and DSL, Bitbucket and SFDX / metadata API. Strong knowledge of Salesforce applications including configuration, process builders, workflows, RSS, Custom Settings, and database design. Advanced knowledge of Salesforce data model, custom objects, workflows, and configuration. Ability to understand current system design and enhance the system to support automation goal. Strong Team Player, Critical Thinker, Analytical, and strong Problem-solving skills Experience executing the release activities, pre-post deployment activities and data loader. Strong understanding of the deployment model, destructive and constructive packages/manifest and provide multiple solutions to unblock development Strong understanding of Salesforce Releases, Support Model and Sandbox Maintenance Shifts/Timings : Shift can be 11 AM - 8 PM or 3 PM - 12 PM IST based on the project needs. The candidate should be flexible to support on the weekends, whenever needed. Who you are: Bachelor s or Master s degree in computer science, Information Technology, or related field Possess strong communication and interpersonal skills. Must be familiar with Salesforce DevOps model, Changesets, Metadata and Salesforce Setup configurations. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Strong desire to improve upon their skills in software development, frameworks, and technologies Don t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. #LI-SS9 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? What do we offer? Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Payment Specialist - Swift Expert Domain Expertise to Assist with Requirements and Testing Support requirements definition for Payment Investigations Application and Swift Module. Primarily includes o Collaborating with engineers and the client to interpret Swift standards and message types (MT/MX, FIN, ISO 20022) to assist translating them into requirements using agile techniques (e.g. user stories, SBE, and BDD). This will include identifying requirements driven by Swift standards vs. requirements driven by client preference. o Collaborating with engineers and the client to define case types and workflows relevant to Swift-related payment issues (e.g., missing funds, duplicate payments, AML alerts). o Ensuring regulatory compliance with standards like FATF, PSD2, AML, etc., within workflows and case tracking. o Collaborating with engineers and the client to define business rules for automated case creation, routing, escalation, and closure based on Swift standards related message triggers. o Recommending changes and new requirements based on mandatory updates contained in the annual Swift standards release. Note: Payment SME must be a Swift Certified Expert with at least 3 Swift Expert Certifications Support Testing and Conformance Understand and Implement Certification Requirements o Coordinate with Swift to define the scope of certification o Assist with first time designation for SWIFT Compatible Application Designation (aka New Designation) o Support Appian Prod Sec and Appian Infosec for initial compliance with CSP (Customer Security Programme) o Support attestation of compliance with the Customer Security Controls Framework o Support Testing and Certification for Environments (FINplus for ISO 20022) o Prepare Readiness testing Tools for Message Validation and Integration Support QA and Testing for Payment Investigations Application and Swift Module Validate test cases and product designs for accuracy against global industry standard banking practices and Swift message logic. Provide traceability between Swift message fields and case metadata or workflows in the system. Customer and Product Manager Interaction Meet with client and Appian product managers regularly Relationship & External Coordination Act as a liaison to Swift, ensuring the application adheres to Swifts technical and legal requirements (e.g., certification, licensing, message format updates). Qualifications 15+ years of experience in payment operations, preferably within banking or financial services. In-depth knowledge of SWIFT messaging standards (MT/MX) and SWIFTNet services. Strong expe

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : OpenText ECM Tools Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and best practices in application development. We are seeking a skilled OpenText Exstream Developer with hands-on experience in Communication Builder to join our team. In this role, you will design, develop, and maintain customer communications using the OpenText Exstream platform, with a focus on leveraging Communication Builder to create omnichannel, personalized, and data-driven correspondence. Roles & Responsibilities:- Design, develop, and customize solutions using OpenText Exstream platform (communication builder) - Configure Content Server, Extended ECM Business Workspaces, and metadata models.- Work with business analysts, designers, and other developers to translate requirements into efficient document templates.- Create and manage interactive, on-demand, and batch document solutions for various output channels (print, email, web, SMS, etc.).- Integrate external data sources (XML, JSON, CSV, etc.) into document templates and configure complex logic for personalization.- Maintain and enhance existing Exstream solutions to meet evolving business needs.- Conduct testing and debugging of communication templates to ensure accuracy, performance, and compliance.- Collaborate in Agile/Scrum environments, participating in sprint planning, codereviews, and continuous improvement efforts.- Support deployment and configuration in various environments (Dev, Test, Prod).- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must Have Skills: Proficiency in OpenText Exstream tools.- Strong understanding of OpenText Extended ECM (xECM) platform - content server and archive centre- Experience with integration of OpenText solutions with other enterprise systems.- Familiarity with user interface design principles and best practices.- Ability to troubleshoot and resolve application issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in OpenText Exstream Tools.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Description Are You Ready to Make It Happen at Mondel z International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs How you will contribute You will: Operationalize and automate activities for efficiency and timely production of data visuals Assist in providing accessibility, retrievability, security and protection of data in an ethical manner Search for ways to get new data sources and assess their accuracy Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation Validate information from multiple sources. Assess issues that might prevent the organization from making maximum use of its information assets What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data Ability to simplify complex problems and communicate to a broad audience In This Role As a Senior Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices. Role & Responsibilities: Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions. Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes. Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity. Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance. Collaborate and Innovate: Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices. Technical Requirements: Programming: Python, PySpark, Go/Java Database: SQL, PL/SQL ETL & Integration: DBT, Databricks + DLT, AecorSoft, Talend, Informatica/Pentaho/Ab-Initio, Fivetran. Data Warehousing: SCD, Schema Types, Data Mart. Visualization: Databricks Notebook, PowerBI (Optional), Tableau (Optional), Looker. GCP Cloud Services: Big Query, GCS, Cloud Function, PubSub, Dataflow, DataProc, Dataplex. AWS Cloud Services: S3, Redshift, Lambda, Glue, CloudWatch, EMR, SNS, Kinesis. Azure Cloud Services: Azure Datalake Gen2, Azure Databricks, Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics. Supporting Technologies: Graph Database/Neo4j, Erwin, Collibra, Ataccama DQ, Kafka, Airflow. Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges. Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders. Analytical Thinking: The capacity to analyze data and draw meaningful insights. Attention to Detail: Meticulousness in data preparation and pipeline development. Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Job Type Regular Data Science Analytics & Data Science

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Responsibilities include creating machine learning models and retraining systems. To do this jobsuccessfully, you need exceptional skills in statistics, coordinate systems and programming. Your ultimate goal will be to shape and build efficient self-learning applications. Job Code BS-82 Experience 1+ yrs Vacancies 1 Responsibilities Prepare and maintain metadata for different data models. Research and implement appropriate ML algorithms and tools. Train and optimise ML/DL models. Deploying models to production. Extend existing ML libraries and frameworks. Integrate existing ML services to the system. Qualification & Skills Mandatory Minimum 2 years of work experience in Machine Learning/Deep Learning. Deep knowledge of maths, probability, statistics, linear algebra, coordinate systems and algorithms. Understanding of data structures, data modelling and software architecture. Ability to write robust code in Python. Hands on experience with NumPy, Pandas, MatplotLib, Seaborn, OpenCV, Scikit-Learn libraries. Familiarity with machine learning frameworks like Keras, TensorFlow and PyTorch. Outstanding analytical and problem-solving skills. Hand on experience training a deep learning model, hyper parameter tuning. Familiarity with Linux. Good to Have Knowledge of R programming language. Knowledge of Relational and NoSql databases. Knowledge of model optimisation, TfLite, Onnx and OpenVino. Join Our Team Build a career to thrive in an inclusive environment, and allow your ideas to become your voice. Let us know your purpose so that we can serve you better!

NextEnergy Group is seeking a skilled SharePoint Developer for technical implementation of a unified document management system across its subsidiaries. The ideal candidate will have deep expertise in SharePoint Online, metadata tagging, PowerShell scripting, Logic Apps, and Microsoft Syntex. Experience required: Min. 6 years. Key Responsibilities: Design and implement scalable SharePoint architectures for document lifecycle management. Develop and maintain PowerShell scripts for automation and migration. Configure and manage Term Store, Document ID Service, and metadata tagging. Build Logic Apps and Power Automate flows for permissions and document workflows. Integrate Microsoft Syntex for AI-based document classification and readiness checks. Collaborate with business units to understand document structures and compliance needs. Provide technical documentation, training, and support to internal teams and third parties. Required Skills: Strong experience with SharePoint Online, PnP PowerShell, and Microsoft 365. SharePoint Framework (SPFx) for custom solutions Power Platform - Power Automate, Power Apps, Administration & Environment Management. Azure - Logic Apps, Function Apps, Microsoft Entra ID (Azure ID), App Registrations, KeyVault, Alerts, Cost forecasting, DevOps. Experience with metadata-driven architectures and document governance. Familiarity with SharePoint migration tools and site provisioning. Excellent problem-solving and communication skills. Preferred Qualifications: Microsoft 365 or SharePoint certifications. Experience in the renewable energy or asset management sector. Knowledge of Power BI for reporting and dashboards.

The Data Architect is to support the work for ensuring that systems are designed, upgraded, managed, de-commissioned and archived in compliance with data policy across the full data life cycle. This includes complying with the data strategy and undertaking the design of data models and supporting the management of metadata. The Data Architect mission will integrate a focus on GDPR law, with the contribution to the privacy impact assessment and Record of Process & Activities relating to personal Data. The scope is CIB EMEA and CIB ASIA Responsibilities Direct Responsibilities Engage with key business stakeholders to assist with establishing fundamental data governance processes Define key data quality metrics and indicators and facilitate the development and implementation of supporting standards Help to identify and deploy enterprise data best practices such as data scoping, metadata standardization, data lineage, data deduplication, mapping and transformation and business validation Structures the information in the Information System (any data modelling tool like Abacus), i.e. the way information is grouped, as well as the navigation methods and the terminology used within the Information Systems of the entity, as defined by the lead data architects. Creates and manages data models (Business Flows of Personal Data with process involved) in all their forms, including conceptual models, functional database designs, message models and others in compliance with the data framework policy Allows people to step logically through the Information System (be able to train them to use tools like Abacus) Contribute and enrich the Data Architecture framework through the material collected during analysis, projects and IT validations Update all records in Abacus collected from stakeholder interviews/ meetings. Skill Area Expected Communicating between the technical and the non-technical Is able to communicate effectively across organisational, technical and political boundaries, understanding the context. Makes complex and technical information and language simple and accessible for non- technical audiences. Is able to advocate and communicate what a team does to create trust and authenticity, and can respond to challenge. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. Data Modelling (Business Flows of Data in Abacus) Produces data models and understands where to use different types of data models. Understands different tools and is able to compare between different data models. Able to reverse engineer a data model from a live system. Understands industry recognized data modelling patterns and standards. Understands the concepts and principles of data modelling and is able to produce, maintain and update relevant data models for specific business needs. Data Standards (Rules defined to manage/ maintain Data) Develops and sets data standards for an organisation. Communicates the business benefit of data standards, championing and governing those standards across the organisation. Develops data standards for a specific component. Analyses where data standards have been applied or breached and undertakes an impact analysis of that breach. Metadata Management Understands a variety of metadata management tools. Designs and maintains the appropriate metadata repositories to enable the organization to understand their data assets. Works with metadata repositories to complete and Maintains it to ensure information remains accurate and up to date. The objective is to manage own learning and contribute to domain knowledge building Turning business problems into data design Works with business and technology stakeholders to translate business problems into data designs. Creates optimal designs through iterative processes, aligning user needs with organisational objectives and system requirements. Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns. Contributing Responsibilities It is expected that the data architect applies knowledge and experience of the capability, including tools and technique and adopts those that are more appropriate for the environment. The Data Architect needs to have the knowledge of: The Functional & Application Architecture, Enterprise Architecture and Architecture rules and principles The activities Global Market and/or Global Banking Market meta-models, taxonomies and ontologies (such as FpML, CDM, ISO2022) Skill Area Expected Data Communication Uses the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. Presents, communicates and disseminates data appropriately and with high impact. Able to create basic visuals and presentations. Data Governance Understands data governance and how it works in relation to other organisational governance structures. Participates in or delivers the assurance of a service. Understands what data governance is required and contribute to these data governance. Data Innovation Recognises and exploits business opportunities to ensure more efficient and effective performance of organisations. Explores new ways of conducting business and organisational processes Aware of opportunities for innovation with new tools and uses of data Technical & Behavioral Competencies 1. Able to effectively translate and accurately communicate across technical and non- technical stakeholders as well as facilitating discussions within a multidisciplinary team, with potentially difficult dynamics. 2. Able to create basic visuals and presentations. 3. Experience in working with Enterprise Tools (like Abacus, informatica, big data, collibra, etc) 4. Experience in working with BI Tools (Like Power BI) 5. Good understanding of Excel (formulas and Functions) Specific Qualifications (if required) Preferred: BE/ BTech, BSc-IT, BSc-Comp, MSc-IT, MSc Comp, MCA Skills Referential Behavioural Skills : Communication skills - oral & written Ability to collaborate / Teamwork Ability to deliver / Results driven Creativity & Innovation / Problem solving Transversal Skills: Analytical Ability Ability to understand, explain and support change Ability to develop and adapt a process Ability to anticipate business / strategic evolution Choose an item. Education Level: Bachelor Degree or equivalent Experience Level At least 7 years Other/Specific Qualifications (if required) 1. Experience in GDPR (General Data Protection Regulation) or in Privacy by Design would be preferred 2. DAMA Certified

We are looking forward to hire Data Modelling Professionals in the following areas : Experience 8-10 Years Creation of logical and physical data models along with accurate metadata for the Data warehousing Solutions Create conceptual data model to identify key business entities and visualize their relationships. Experience with Erwin or relevant data modelling tools to generate logical and phyiscal data models on Azure platform Perform data profiling/analysis activities that helps to establish, modify and maintain data model. Communicate physical database designs and dba and explains features that may affect the physical data model. Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements. Present and communicate modeling results and recommendations to internal stakeholders. Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders. Analyze data-related system integration challenges and propose appropriate solutions with strategic approach. Ensure compliance with data governance and security policies Collaborate internationally with various stakeholders. Engage with clients to clarify inbound research requests. Contribute to coordination and planning of Cloud Infrastructure related activities / outages Performance tuning using caches and parallel execution using bulk loading and dataflow execution Lead a team to deliver the expected business results Mentor Junior consultants in team and provide assistance in case needed Build, test, and maintain database pipeline architectures and collaborate with management to understand company objectives Ensure compliance with data governance and security policies Work closely with business and dev teams to translate the business/functional requirements into technical specifications that drive Big Data solutions to meet functional requirements. Must have one of the domain knowledge (Manufacturing, sales, supply chain, finance) Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Krios info solution pvt Ltd is is looking for Data & Analytics Professional to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Description Overview of the job We are looking for a results-driven Executive - SEO to lead our organic growth strategies in the Indian market. You will be responsible for driving search visibility, increasing organic traffic, and improving conversions across multiple digital platforms. This role requires a blend of technical SEO expertise, strategic thinking, and leadership skills to manage a team and execute high-impact SEO campaigns. Key Responsibilities: SEO Strategy & Execution: Develop and implement data-driven SEO strategies to improve search rankings and organic traffic for the Indian market. On-Page & Technical SEO: Optimize website structure, content, metadata, and internal linking to enhance search visibility. Conduct regular site audits and implement fixes. Off-Page SEO & Link Building: Develop and execute effective link-building strategies to improve domain authority. Content & Keyword Optimization: Collaborate with content teams to ensure SEO-friendly content, targeting high-intent keywords. Local & E-commerce SEO: Optimize for Google My Business, local search, and e-commerce platforms (if applicable). Marketplace SEO: Optimize product listings, conduct keyword research, improve rankings, analyze performance, enhance visibility, manage content, track trends, and drive organic traffic & product sales. Analytics & Reporting: Monitor key SEO KPIs (traffic, rankings, conversions) using tools like Google Analytics, Search Console, and SEMrush/Ahrefs. Generate reports with actionable insights. Collaboration: Work closely with developers, content creators, and digital marketing teams to ensure alignment with overall business objectives. SEO Trends & Algorithm Updates: Stay updated on Google algorithm changes and emerging SEO trends to implement best practices. Requirements: 1+ years of SEO experience. In-depth knowledge of Google s algorithms, ranking factors, and search engine best practices . Hands-on experience with SEO tools like Google Analytics, Search Console, SEMrush, Ahrefs, Screaming Frog, etc. Strong understanding of technical SEO , including schema markup, site speed, and mobile optimization. Experience with content marketing & keyword research tailored for the Indian audience. About GroupM Nexus About India GroupM is an equal opportunity employer. We view everyone as an individual and we understand that inclusion is more than just diversity it s about belonging. We celebrate the fact that everyone is unique and that s what makes us so good at what we do. We pride ourselves on being a company that embraces difference and truly represents the global clients we work with.

Exp required 7+ yrs with data governance informatica tool Key Responsibilities: Data Governance Framework Development : Develop, implement, and maintain data governance frameworks, policies, and standards to ensure high-quality, consistent, and secure data across the organization. Collaborate with business units and stakeholders to define and enforce data governance policies, ensuring alignment with business goals and regulatory requirements. Data Quality Management : Define and enforce data quality standards, monitoring key data quality metrics. Identify, analyze, and resolve data quality issues across various data sources and platforms. Work with cross-functional teams to implement data quality improvement initiatives. Data Lineage & Metadata Management : Implement and maintain data lineage and metadata management solutions to ensure visibility and traceability of data throughout its lifecycle. Work with data architects and engineers to establish and document data flows, transformations, and dependencies. Data Security & Compliance : Ensure that data governance practices comply with relevant regulatory requirements (e.g., GDPR, CCPA, HIPAA). Implement data security controls to protect sensitive data and manage access to sensitive information. Stakeholder Collaboration : Partner with data architects, data engineers, data scientists, and business analysts to ensure alignment between technical and business needs for data governance. Provide training and support for teams on data governance policies, best practices, and tools. Data Governance Tools & Technologies : Lead the implementation and optimization of data governance tools and platforms. Continuously evaluate emerging tools and technologies to improve data governance processes. Reporting & Documentation : Develop and maintain comprehensive data governance documentation and reports. Provide regular updates to senior management on the status of data governance initiatives, risks, and areas of improvement. Requirements: Experience : 7+ years of experience in data governance, data management, or related fields. Proven track record in implementing data governance frameworks and policies at an enterprise level. In-depth knowledge of data governance concepts, including data quality, data lineage, metadata management, and data security. Technical Skills : Experience with data governance tools such as Collibra, Informatica, Alation, or similar. Strong understanding of databases, data warehousing, and big data platforms (e.g., Hadoop, Spark). Familiarity with data integration, ETL processes, and data modeling. Proficiency in SQL and other scripting languages (e.g., Python, Shell). Regulatory Knowledge : Solid understanding of data privacy and compliance regulations (GDPR, CCPA, HIPAA, etc.). Ability to assess and mitigate compliance risks related to data handling. Soft Skills : Excellent communication and interpersonal skills. Strong problem-solving skills and the ability to collaborate across teams. Ability to manage multiple projects and deadlines in a fast-paced environment.

Job Description Role Overview: We are seeking a highly motivated and experienced Data Quality Expert to join our growing data team. The ideal candidate will be passionate about ensuring the accuracy, consistency, and reliability of our data assets. You will play a crucial role in developing and implementing data quality strategies, establishing data quality standards, and driving continuous improvement initiatives. You will collaborate with various stakeholders across the organization to ensure that data is fit for purpose and supports informed decision-making. Job Description: Conduct thorough data profiling and analysis to identify data quality issues and anomalies. Define data quality rules and validation checks. Establish, and maintain a data quality framework. Perform regular data audits and assessments to ensure compliance with data quality standards. Coordinates creation of Dashboards for Data Health Monitoring Contribute to the development of data governance policies and procedures. Approves, prioritizes & leads Root Cause Analysis and Corrective Action Plans Is well versed with common Data Quality issues and respective mitigation approach. Has extensive experience in Data Profiling, Data Analysis, Data Discovery, and Source to Target mapping processes. Experience with data quality tools and technologies (Informatica Data Quality) Experience with SQL and data manipulation languages. Is aware of industry best practices for setting up Data Quality standards and maintenance of Data Health Work closely with data engineers, data scientists, business analysts, business users and other stakeholders to understand data requirements and address data quality concerns. Appreciates the people, processes as well as technology aspects of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g., Data Governance culture, Data Quality, Master Data Management, Metadata Management Has knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance Strong understanding of data management principles, data lineage and familiarity with data warehousing and data lake concepts. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). [Preferred] Experience with scripting languages (e.g., Python, R). [Preferred] Qualifications BE/MBA with 9-10 years of experience; other qualification with higher relevant experience Schedule: Full-time Req: 009B7A

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or a related technical role. 3 years of experience in taking technical products from conception to launch. Preferred qualifications: Experience with platform product management, leading product efforts and setting direction/roadmaps in multi-stakeholder spaces. Experience with sports, connected TV, or streaming products. Excellent technical, investigative, problem-solving, and thinking skills. Excellent communication, presentation, and teamwork skills. About the job At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. YouTube (YT) OTT brings traditional Movies, Shows, and Sports to YouTube. We package and promote this content through products like YouTube TV and Primetime Channels. In this role, you will be responsible for onboarding media companies, acquiring their premium TV content and metadata, modeling it, understanding and enriching it, packaging it, and ultimately publishing it to serving systems.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun and we do it all together. Responsibilities Plan and assess market research, analyze data, and stay ahead of industry trends to identify opportunities and unmet content, distribution, and monetization needs for media companies and emerging sports leagues. Build roadmaps that enables media companies to onboard their content to YouTube with monetization options, prioritizing these partners and OTT business. Translate partner needs and business goals into detailed product specifications and use cases. Own the end-to-end product from onboarding to content management. Collaborate with design, engineering, and teams, to conceive, build, and deliver features on the product road-map. Oversee the launch of new features and products, and iterate based on partner feedback, data, Key Performance Indicator (KPIs).

Long Description R&D Document control - Document storage, arrangement, and enhance traceability. Contribute to system improvement for document traceability without error/gap Review of R&D documents as per quality compliance along with raw data/metadata review and electronic data verification on systems as per requirement Issuance, submission/archival: Issuance, submission/archival of logbooks, LNBs, documents (including soft/electronic document control) Equipment & CSV related document review (IQ, OQ, PQ etc. ) Respective document archival, submission and maintain traceability of all documents QAMS review support for evaluation of QAMS elements such as Deviation, Change Control, CAPA, LIR etc. Any responsibility advised by superior from time to time Competencies Collaboration Customer Centricity Developing Talent Innovation & Creativity Process Excellence Result Orientation Stakeholder Management Strategic Agility Education Masters in Biotechnology Post Graduation in Biotechnology Work Experience 2-4 years of experience

Who we areCitiusTech - Shaping Healthcare Possibilities.CitiusTech is a global IT services, consulting, and business solutions enterprise 100% focused on the healthcare and life sciences industry. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable with deep domain expertise and next-gen technology. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products.Our PurposeWe are shaping healthcare possibilities to make our clients businesses successful, which is not just a statement but our purpose, driving us to explore what s next in healthcare.Our goal is clear: to make healthcare better for all - more efficient, effective, and equitable. We are investing in people, technology, innovation, and partnerships to create meaningful change. We see technology not just as a tool but as a catalyst that amplifies human ingenuity to solve complex healthcare challenges.100% healthcare focus | Trusted by 140+ healthcare and life sciences enterprises | 40% of Fortune 500 healthcare enterprises are our clients | #1 Rated as a leader by top analyst firmsOur visionTo inspire new possibilities for the health ecosystem with technology and human ingenuity.What is in it for you?As a Technical Lead - Mirth Development, you will be a part of an Agile team to design and build healthcare applications and implement new features while adhering to the best coding development standards. Responsibilities: - * Design, develop, and support HL7-based integration workflows, including ORU message construction from metadata and document sources. * Collaborate with clinical and technical teams to define and implement integration solutions. * Lead discussions with clients and third-party vendors to troubleshoot and optimize integration strategies. * Ensure compliance with IHE profiles and scheduled workflow protocols (HL7/DICOM). * Work independently to resolve technical issues without relying on escalation. * Demonstrate ability to take ownership, drive solutions, and contribute value without dependency on escalation paths.Experience: - * 7 - 8 Years Location: - * Mumbai * Pune * Bangalore * Chennai Educational Qualifications: - * Engineering Degree - BE / ME / BTech / MTech / BSc / MSc. Skills: -Mandatory Technical skills: - * Mirth * IHE * DICOM * HL7 Our commitmentTo combine the best of IT services, consulting, products, accelerators, and frameworks with a client-first mindset and next-gen tech understanding. Together, we re humanizing healthcare to make a positive impact on human lives.What drives usAt CitiusTech, we believe in making a tangible difference in healthcare. We constantly explore new ways to transform the industry, from AI-driven solutions to advanced data analytics and cloud computing. Our collaborative culture, combined with a relentless drive for excellence, positions us as innovators reshaping the healthcare landscape, one solution at a time.We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance.Rated by our employees as the Great Place to Work for according to the Great Place to Work survey. We offer you comprehensive benefits to ensure you have a long and rewarding career with us. Our EVPBe You Be Awesome is our EVP. It reflects our continuing efforts to create CitiusTech as a great workplace where our employees can thrive, personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives. To learn more about CitiusTech, visit https: / / www.citiustech.com / careers and follow us on Happy applying!

Your work days are brighter here. About the Team At Workday, we empower the world s largest organizations to adapt and thrive by unifying Finance, HR, and Planning in a single enterprise cloud. We re serious about what we do, and were passionate about our mission to deliver innovative enterprise applications. We foster a culture where people come first, diversity is celebrated, and innovation is driven by a commitment to doing good in our communities. Developing for scale is foundational to Workdays DNA. We proudly serve employees in over 60% of the Fortune 500 companies worldwide with our modern, fully cloud-native solution. We leverage a mix of cutting-edge frameworks and tools alongside Workday s robust technology platform. Clean code, automated testing, and continuous improvement are at the heart of our development process. Were dedicated to helping our people grow through thoughtful career development, flexible working arrangements, and a hybrid work model. About the Role As a Senior Engineer / Tech Lead , youll be a hands-on technical leader working closely with scrum teams, product managers, and business partners across product boundaries. Youll design and build scalable, highly performant, and resilient solutions that support the needs of our 60 million+ users around the world. All development is cloud-native, on a single codeline, enabling rapid iteration through our continuous development model. You will: Drive the design and development of scalable, highly performant, highly available enterprise application solutions that directly impact our global user base. Innovate constantly while committing efficient, robust, and maintainable code within an object-oriented framework. Champion code quality relentlessly by delivering reliable unit, integration, and system-level tests that run on our continuous delivery pipeline, ensuring robust and stable production systems. Partner effectively with product and senior stakeholders to shape and drive the product vision. Communicate complex technical ideas simply and effectively to drive informed decision-making with senior leadership. Coach and mentor team members to deliver to high standards, actively contributing to pair programming initiatives, interactive code reviews, design reviews, knowledge-sharing "brown bags," and innovation-focused hackathons. Collaborate cross-functionally with local and remote technical teams, ensuring we consistently deliver the best possible solutions to our customers. About You You are passionate about software, an innovative problem-solver who can quickly identify and understand complex issues and drive them to effective resolution. Basic Qualifications: 8+ years of experience with web application development and/or SaaS (Software as a Service). Extensive development experience with object-oriented languages at a senior level (e.g., Java, C#, Python). A collaborative team player with strong communication skills. An owner who proactively solves problems and takes full accountability for your code from development through production. Proven experience leading the technical delivery of innovative and complex business functionality. A deep understanding of software engineering principles (e.g., design patterns, data structures, algorithms) and the ability to demonstrate their application in recent project deliverables. A code quality champion and advocate with a solid understanding of test automation principles. Strong understanding of performance engineering and performance testing principles. Other Qualifications: Team Leadership and/or Agile leadership experience. Experience with integration technologies (e.g., RESTful APIs, message queues). Exposure to modern UI technologies such as React . Experience with metadata-driven development , contributing to highly configurable and adaptable platforms. At Workday, we believe every potential recruit brings unique value to the table. Believe you are missing some of the skills and are hesitant to apply? We do not believe in the perfect candidate and are happy to teach. So however you identify and whatever background you bring with you, apply and see what we are all about! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!