948 Metadata Jobs - Page 15

Deep understanding of Guidewire framework, implementation, architecture and components. Must have experience in GuideWire Billing Center 10.0 version+ Well versed in development streams - Configuration/Integration/Both Strong knowledge in Guidewire platform (Gosu scripting / UI / Data Model) Implementation of Rules (including UI Validation) using GOSU scripting. Metadata Configuration of Rules (including UI Validation). Integration with External Systems and Guidewire Platform supported integration techniques.

Proficiency in data modeling tools such as ER/Studio, ERwin or similar. Deep understanding of relational database design, normalization/denormalization, and data warehousing principles. Experience with SQL and working knowledge of database platforms like Oracle, SQL Server, PostgreSQL, or Snowflake. Strong knowledge of metadata management, data lineage, and data governance practices. Understanding of data integration, ETL processes, and data quality frameworks. Ability to interpret and translate complex business requirements into scalable data models. Excellent communication and documentation skills to collaborate with cross-functional teams.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : AWS Glue Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As part of a Data Transformation programme you will be part of the Data Marketplace team. In this team you will be responsible for Architecture and design for automating data management compliance validation, monitoring, and reporting through rule-based and AI-driven mechanisms, integrating with metadata repositories and governance tools for real-time policy enforcement and for delivering design specifications for real-time metadata integration, enhanced automation, audit logging, monitoring capabilities, and lifecycle management (including version control, decommissioning, and rollback) Preferably experience with the implementation and adaptation of data management and data governance controls around Data Product implementations, preferably on AWS. Experience with AI appreciated.Examples skills Data Architecture, Data Marketplace, Data governance, Data Engineering, AWS DataZone, AWS Sagemaker Unified StudioAs an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the decision-making process. Your role will require a balance of technical expertise and leadership skills to drive project success and foster a collaborative team environment. Roles & Responsibilities:- 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 implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Glue.- Strong understanding of data integration and ETL processes.- Experience with cloud computing platforms and services.- Familiarity with data warehousing concepts and best practices.- Ability to troubleshoot and optimize data workflows. Additional Information:- The candidate should have minimum 7.5 years of experience in AWS Glue.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. Leveraging the latest technologies, and built on ServiceNow s intelligent platform, we deliver a seamless, personalized experience at every step of our customers journey. The products we build power digital business for ServiceNow and can even become commercially available. As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code thats scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work. Implement software that empowers internal customers to extend what it can do to meet their specific needs, as our own "customer zero." What you get to do in this role: Design and build scalable search ranking, indexing and personalization systems. Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Integrate user behavior signals, session data, and content metadata to optimize relevance. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Real-time Personalization using query Embeddings for Search Ranking Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Experience in MLOps and model governance Strong analytical and quantitative problem-solving ability Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools,

Role Purpose: This is a critical role within ERP architecture function focusing on overall master data including Business Partner (Customer & Vendor data), Finance, Material, etc. As the global custodian of Enterprise master data architecture, the role holder will drive data integrity and consistency across the organization. They will collaborate closely with senior stakeholders, IT, Integration teams, and the Digital Transformation group to assess and manage changes to master data architecture. This role requires a strategic mindset to anticipate the impact of data modifications on various business processes and systems. The successful candidate will play a crucial part in ensuring overall enterprise data architecture, data quality, compliance and ultimately supporting informed decision-making and business growth. Accountabilities: Lead the data architecture design across multiple SAP products and instances along with non-SAP systems. Define data governance strategies, master data management (MDG), and metadata standards. Provide Leadership for execution of programs using these documented strategies. Architect data migration strategies for SAP S/4HANA projects and major programs, 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 master data flow across SAP and non-SAP platforms. Establish data quality frameworks and monitoring practices. Drive the adoption of the frameworks with the Owning teams. Lead the orchestration of Data for usage in AI frameworks and visualisation platforms. Work with integration team to implement/optimize integration solutions to connect SAP/Non-SAP systems and ensure seamless master data flow. Exposure working and evaluating new technologies to improve master data quality and architecture. Exposure working on various compliance / regulations like SOX, GDPR and others. Exposure working on MDM / MDG implementation as data / enterprise architect. Familiar with new MDG cloud / AI based services. Ability to lead and influence stakeholders to drive data related initiatives. Exposure working on various data frameworks like TOGAF, DAMA and Zachman. Identify existing master data tools (including third party tools like DnB, Address Doctor) and exploit to its full potential. Ability to convert and design complex business requirements. Experience managing business escalation. Exposure managing mergers and acquisitions and making sure data strategy is aligned with Syngenta architecture. Commitment to staying current with evolving technologies and industry best practices. Willingness to acquire new skills and knowledge as required by this role. Self-motivated with the ability to work independently and take initiative. Required Capabilities / Skills: Familiarity with data architecture frameworks and best practices. Strong communication skills and the ability to explain complex concepts to non-technical stakeholders. Must be able to collaborate with cross-functional teams to solve complex problems and develop innovative solutions. Must have good troubleshooting skills and be able to help other people with their work. Familiarity with the latest Generative AI models. Good understanding of Data Integration technologies. Good understanding of API-First architecture. Good understanding of enterprise data projects (data warehouses/master data management etc. ) with hands-on data analysis. Experience with Agile and DevOps processes. Must be able to deal with ambiguity and adapt to changing business needs. Good team player, self-motivating, and committed with an ability to work under pressure and to meet tight deadlines. Ability to work independently and have knowledge of all aspects of the Software Development Lifecycle. Experience Requirements: 18-20 years of experience in managing master data processes and architecture. Proven track record in complex multinational environments. Demonstrated ability to implement and optimize data governance strategies. Good understanding of the Data architecture discipline, processes, concepts and analytics best practices. Data Governance, Security, Privacy and Compliance requirements for an enterprise. Possess strong knowledge of industry best practices around modern data architecture. Background in SAP/ERP, SAP MDG, BODS etc. is preferable.

Understand the existing data governance structure and develop a governance charter and operating model Define roles and responsibilities across all levels of the data governance operating model Create a business glossary with definitions, term mappings, and relationship structures Set up and configure Collibra communities, domains, types, attributes, workflows, and statuses Identify and prioritize data domains based on business impact and ease of implementation Define governance roles within Collibra for managing communities and assets Recommend and implement metadata workflows for effective governance Engage with SMEs to extract and define key business terms and attributes Create templates to capture business term metadata and technical definitions Automate manual data demand processes using Collibra workflows Develop and visualize end-to-end data lineage within Collibra DGC

Responsibilities Work closely with Stakeholders to understand the requirements and apply analytics and visualization to achieve business objectives Engineer end-to-end solutions including data acquisition, data modeling, table creation and building dashboards and reports. Design and develop Tableau reports and dashboards that will yield actionable insights that present the answers to business questions Code and modify SQL/ETL based on dashboard requirements Analyze unstructured / Semi structured data and derive insights Run ad-hoc analysis for Product and Business Managers using standard query languages and operationalize for repeatable use via Tableau reporting suite Ensure designs support corporate IT strategy, established technical standards, and industry best practices Provide technical guidance to project and is responsible for developing and presenting design artifacts within the business and Development teams Identify project issues/risks and present alternatives to alleviate or resolve Core Competencies Strong quantitative and analytical skills - ability to quickly analyze data to identify key insights and apply them to the business Strong visualization design and development experience with Tableau (and other Business Intelligence tools like PowerBI) Experience leading analysis, architecture, design and development of business intelligence solutions and using next generation data platforms Experience developing test strategies for data-centric applications, in Agile methodologies and in diagnosing complex technical issues Strong understanding of architectural standards and software development methodologies, expertise in industry best practices in data architecture and design Excellent communication skills, including ability to present effectively to both business and technical audiences at all levels of the organization Who You are? Qualifications Bachelor s degree in Engineering, Computer Science, or related field 6+ years of experience using business intelligence reporting tools, developing data visualizations and mastery of Tableau for the creation and automation of Enterprise Scale dashboards 6+ years of experience writing advanced SQL, performance tuning of BI queries, data modeling, and data mining from multiple sources (SQL, ETL, data warehousing) Experience performance tuning of Tableau Server dashboards to minimize rendering time Experience of data preparation/blending and ETL tools such as Alteryx or Talend or Tableau Prep Good knowledge on Tableau Metadata tables and Postgre SQL Server Reporting Experience in anyone programming languages like Python, R, etc would be a plus. Exposure to Snowflake or any Cloud data warehouse architecture would be an added advantage. Possess a strong foundation in data analytics, an understanding and exposure to data science Strong knowledge of data visualization and data warehouse best practices Certification in Tableau / Alteryx / Snowflake would be a plus

Engineering Manager Bengaluru, Karnataka Work Type: Full Time About Uniqode: Uniqode is on a mission to connect the physical and digital worlds seamlessly through technology. Over the years, we ve become the trusted platform for over 50,000 businesses worldwide, enabling proximity marketing and driving digital engagement at scale. With 200+ million QR Code scans globally and a steep growth rate, Uniqode is at the forefront of innovation in how businesses and consumers interact. As pioneers in digital business cards, we re redefining how professionals and companies share contact details offering modern, paperless solutions that are efficient and environmentally friendly. Backed by leading investors like Accel and Telescope, we re building not just a product but a global ecosystem. With offices in New York and Bangalore and a team spread across India and the USA, Uniqode combines the best of creativity, collaboration, and cutting-edge technology to deliver exceptional results. About the Role: We are looking for a strategic and technically strong Engineering Manager to lead our Platform Engineering team. This role is foundational to scaling Uniqode s platform and will oversee core infrastructure, internal and external analytics, and shared platform capabilities. As an Engineering Manager, you ll lead a team of backend engineers, data engineers, and DevOps specialists. You ll be responsible for managing infrastructure and security, guiding customer-facing and internal analytics platforms, and driving the development of shared services used across Uniqode s product lines including Authentication, Authorization, Orchestration, Payments, and AI Platform components. This is a high-impact leadership role at the intersection of infrastructure, data, and platform services. Key Focus Areas: Lead, mentor, and grow a high-performing team of Platform, DevOps, and Data Engineers. Manage and scale infrastructure (primarily on AWS), including CI/CD, Kubernetes (EKS), IaC, monitoring, and security frameworks. Drive cloud cost optimization and performance tuning across services. Ensure strong security practices, including IAM, vulnerability scanning, and compliance automation. Provide technical leadership and mentorship to data engineers managing customer-facing analytics and internal analytics. Oversee the development, reliability, and performance of shared platform services like Authentication, Authorization, Payments, Subscription Management, and Orchestration engines. Collaborate across product teams to build scalable and reusable components supporting multiple Uniqode offerings. Drive standardization, reliability, and observability across environments and services. Ensure platform services are documented, discoverable, and supportable by downstream teams. Partner with stakeholders to align technical direction with business goals and delivery timelines. Promote a culture of ownership, continuous improvement, and operational excellence across the platform engineering team. About You: 8+ years of experience in backend/platform/data engineering roles, with 2+ years of engineering management experience. Strong background in cloud-native infrastructure (preferably AWS), Kubernetes, and DevOps practices. Experience leading data engineering teams and guiding architecture and delivery of analytics solutions (e.g., Apache Pinot, Redshift). Deep understanding of shared platform services like AuthN/AuthZ, Orchestrators, Payment systems, and API platforms. Proficiency in CI/CD pipelines, Infrastructure as Code (e.g., Terraform), and GitOps methodologies. Hands-on experience with observability tools (e.g., Datadog, Prometheus, ELK, Grafana). Familiarity with security best practices and compliance standards (SOC2, GDPR, HIPAA). Strong stakeholder management, technical program management, and team coaching abilities. Track record of delivering scalable, reliable systems and leading cross-functional initiatives. Excellent communication, documentation, and decision-making skills. Bonus Skills (Nice-to-Have): Experience with FinOps or infrastructure cost management at scale. Exposure to metadata platforms or AI-enabled observability systems. Contributions to open-source platform infrastructure or data tools. Experience building unified developer portals or internal platforms. What s in it for You? A well-deserved compensation package that recognizes your leadership and impact. Opportunity to shape the engineering backbone of a high-growth, global SaaS product. Equity ownership to share in the company s success. Work with a talented and driven team passionate about building world-class products. Hybrid work flexibility across our offices in New York and Bangalore. Comprehensive health insurance for you and your family. Dedicated mental health support in a nurturing and inclusive environment. About Our Culture: At Uniqode, we re shaping a workplace where bold ideas, deep ownership, and relentless curiosity thrive. We move fast, aim high, and obsess over delivering real value to our customers. Transparency and collaboration define how we work, while continuous learning and adaptability fuel our growth. If you re ready to make an impact and grow alongside a passionate, driven team, Uniqode is the place for you.

Proficient in application, data, and infrastructure architecture disciplines. Advanced knowledge of architecture, design, and business processes. Hands-on experience with AWS. Proficiency in modern programming languages such as Python and Scala. Expertise in Big Data technologies like Hadoop, Spark, and PySpark. Experience with deployment tools for CI/CD, such as Jenkins. Design and develop integration solutions involving Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions. Apply system development lifecycle methodologies, such as Waterfall and Agile. Understand and implement data architecture and modeling practices, including entity-relationship diagrams, normalization, abstraction, denormalization, dimensional modeling, and metadata modeling. Utilize knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development, and Big Data solutions. Work collaboratively in teams to develop meaningful relationships and achieve common goals. Strong analytical skills with deep expertise in SQL. Solid understanding of Big Data concepts, particularly with Spark and PySpark/Scala. Experience with CI/CD using Jenkins. Familiarity with NoSQL databases. Excellent communication skills.

Title: DAM Librarian Date: 4 Jul 2025 Location: Bangalore, KA, IN Job Description We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it We understand that you are looking for growth in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We believe in creating leaders of tomorrow and mentor our leads to help them grow and nurture them as people managers and account managers. We are a rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: DAM Librarian Descriptions: Key Responsibility : Coordinating with Brand teams / agencies / internal stakeholders in terms of completeness of metadata requirement / source files etc. Conduct regular cleanup/hygiene activities. Enabling Brand Portals - Creating portals as per requirements / guiding Portal administrators for managing the Portals effectively Perform quality checks on all proposed content for the Content Hub Upload the Content to Platform (including in-design / source files) Manage Component Library, Claims Library and Digital Rights Management/ Taxonomy Prepare Content performance dashboards and reports as requested by Client; and provide Content Hub and/or VEEVA Vault portal maintenance. Creating Reporting Dashboards and maintaining them. Must Have Proficient in understanding metadata and taxonomy structures of digital assets. Good understanding of end-to-end Digital asset management lifecycle. Good understanding of Business workflows and Asset management standard practices. Strong written and verbal communication skills. 5+ years of hands-on experience with DAM Librarian work in Veeva PromoMats or Aprimo Excellent verbal and written communication skills Enjoy rapport building and client interaction Professionalism and confident Target driven and self-motivated MSOffice - Able to effectively use MS Excel, MS Outlook, MS PowerPoint Highly organized, detail oriented, and results focused Demonstrate ability to think strategically Good understanding of concepts and can articulate effectively Work experience in the Life Science Ability to work with multiple stake holders onshore and offshore Ability to plan and execute tasks as per agreed timelines. Excellent team player and ability to work independently. EQUAL OPPORTUNITY

Title: Senior Associate - Digital Asset Management Support Date: 3 Jul 2025 Location: Bangalore, KA, IN Job Description We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it We understand that you are looking for growth in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We believe in creating leaders of tomorrow and mentor our leads to help them grow and nurture them as people managers and account managers. We are a rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Senior Associate - Digital Asset Management Support Description: You will be responsible for: Coordinating with Brand teams / agencies / internal stakeholders in terms of completeness of metadata requirement / source files etc. Conduct regular cleanup/hygiene activities. Enabling Brand Portals - Creating portals as per requirements / guiding Portal administrators for managing the Portals effectively Perform quality checks on all proposed content for the Content Hub Upload the Content to Platform (including in-design / source files) Manage Component Library, Claims Library and Digital Rights Management/ Taxonomy Prepare Content performance dashboards and reports as requested by Client; and provide Content Hub and/or VEEVA Vault portal maintenance. Creating Reporting Dashboards and maintaining them. Must Have Desired Profile: Proficient in understanding metadata and taxonomy structures of digital assets. Good understanding of end-to-end Digital asset management lifecycle. Good understanding of Business workflows and Asset management standard practices. Strong written and verbal communication skills. Requirements: 5+ years of hands-on experience with DAM Librarian work in Veeva PromoMats or Aprimo Excellent verbal and written communication skills Enjoy rapport building and client interaction Professionalism and confident Target driven and self-motivated MSOffice - Able to effectively use MS Excel, MS Outlook, MS PowerPoint Highly organized, detail oriented, and results focused Demonstrate ability to think strategically Good understanding of concepts and can articulate effectively Work experience in the Life Science Good to have Ability to work with multiple stake holders onshore and offshore Ability to plan and execute tasks as per agreed timelines. Excellent team player and ability to work independently. EQUAL OPPORTUNITY

About the Role We are seeking a high-potential Technical Business Analyst based in Hyderabad who is passionate about technology and excited to work at the intersection of business needs and IT delivery. In this role, you will play a critical part in delivering impactful solutions within our Life & Health reinsurance business. This is not your average BA role you ll be deeply involved in process improvements , data analytics, quality assurance , and driving forward automation and transformation initiatives. Key Responsibilities Business Analysis Partner with business stakeholders to gather, analyze, and document detailed business and system requirements. Translate business needs into clear and concise technical specifications. Facilitate workshops and stakeholder interviews to validate solution design and requirements. Support data dictionary and metadata governance processes for analytical and operational datasets. Work closely with developers, architects, and data engineers to align delivery with business expectations. Define test scenarios, acceptance criteria, and detailed test cases in coordination with business and technical teams. Perform hands-on functional, regression, and data testing of new features and data pipelines. Coordinate UAT activities and obtain business sign-offs. Investigate defects and data inconsistencies, working closely with dev teams for resolution. Help shape and enforce automated testing practices and CI/CD pipelines. Qualifications Bachelor s degree in Information Systems, Computer Science, Business, or related field. 0-3 years of experience as a Business Analyst or Software Quality Assurance Analyst, preferably in insurance/reinsurance or financial services. (Experience not required for freshers) Working knowledge of SQL , data validation, and working with structured datasets (e.g., actuarial or treaty data). Familiarity with tools such as JIRA, Azure DevOps, Postman , or automation frameworks (e.g., Selenium, PyTest) is a plus. Demonstrated understanding in requirements gathering, test planning, test execution, and defect management. (not required for freshers) Experience with reinsurance or insurance operations is highly desirable. (not required for freshers) Key Traits Tech-forward mindset : Curious, adaptable, and enthusiastic about learning and leveraging new tools. Detail-oriented : Thorough in requirements and testing to ensure accurate, high-quality delivery. Communicative : Comfortable bridging business and technical stakeholders with confidence and clarity. Proactive problem solver : Capable of independently investigating issues and proposing solutions. Collaborative team player : Values feedback, continuous improvement, and cross-functional teamwork. Global mindset : Appreciates being part of a diverse team from around the world. Why Join Us Be part of a growing Hyderabad-based team supporting global reinsurance initiatives. Work with one of the worlds leading reinsurance firms, deeply involved in shaping the future of Life & Health products. Join a collaborative, innovation-driven IT team that values experimentation, quality, and continuous learning. Gain exposure to both legacy systems and modern cloud-native architectures. Develop professionally through internal training, mentorship, and challenging project work. About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134551

About the Team We are the Life & Health (L&H) Data & Analytics group at Swiss Re Reinsurance. As a strategic tech partner, we modernize our L&H data landscape and build innovative analytics solutions. Our global, cross-functional team uses data to help the business make smarter, data-driven decisions supporting both existing products and new analytics initiatives. Role Overview As a Data Product Manager I, you will help bridge business needs and technical delivery. Collaboration with engineers and business stakeholders will be required to define, test and launch data-driven products everything from performance monitoring tools to operational-efficiency dashboards. Data Product Delivery & Quality Assurance Data Product Requirements & Roadmaps Collaborate with business experts, owners, and engineers Capture clear requirements and maintain a prioritized backlog of work Data Product Design & Prototyping Sketch wireframes/mock-ups and build prototypes Develop technical skills to build interactive data visualizations on strategic platforms for others to use Data Pipeline and Analytics Products Quality Assurance Profile source data, verify transformations, and enforce business rules Perform hands-on functional, regression, and data testing of new features and data pipelines. Help shape and enforce automated testing practices Investigate defects and data inconsistencies, working closely with dev teams for resolution. Go-Live Support Maintain data dictionaries and support metadata processes Troubleshoot production issues and participate in release activities Platform Agility Learn and apply new reporting or analytics tools as needed About you You are a proactive problem solver who is enthusiastic about learning and leveraging new tools. You look forward to working on the delivery of quality data products. Most importantly, you are a people person that loves collaborating with others to find excellent solutions to complex business problems! You should have: A university degree in technical field (engineering, computer science or quantitative) 0-3 years of experience as a Business Analyst, preferably in insurance/reinsurance or financial services. Experience not expected for a fresher. Knowledge of SQL, data validation, and working with structured datasets Data Visualisation knowledge - with understanding of UI/UX principles for data product design Understanding of data modelling concepts and working with data pipelines Behavioural Competences Proficiency in spoken and written English communication is important. Excellent communication and presentation skills; ability to communicate on different levels of seniority. Ability to perform well on time-critical endeavours and on multiple fronts at the time. Nice To have: Industry experience in (re-)insurance Understanding project management and interpersonal abilities Agile certifications (e.g., Scrum Master, Product Owner) Understanding of test planning, test execution, and defect management. Power BI, or Paginated Reports experience Palantir Foundry experience Python & TypeScript programming skills Why Join Us Be part of a growing Bangalore-based team supporting global reinsurance initiatives. Join a collaborative, innovation-driven IT team that values experimentation, quality, and continuous learning. Gain exposure to modern data platforms. Develop professionally through internal training, mentorship, and challenging project work. About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134486

"> Home / Home / Careers / Careers / SharePoint Developer SharePoint Developer Introduction We are looking for 6+years experienced candidates for this role. Responsibilities include: Platform Administration & Governance Administer and maintain SharePoint Online, including site collections, subsites, lists, libraries, and permissions. Enforce governance policies and ensure compliance with organizational standards. Monitor system performance, availability, and usage analytics; generate regular reports. Manage metadata, and content types in response to user needs and in accordance with Microsoft information architecture best practices. Solution Development & Support Design and implement SharePoint solutions using out-of-the-box features, Power Automate, Power Apps, PowerShell, and SharePoint Framework (SPFx). Provide Tier-2 support and troubleshoot complex issues related to SharePoint and integrated M365 services (Teams, OneDrive, etc.). Collaborate with onsite resource to refine requirements and translate them into functional SharePoint solutions. Migration & Integration Lead or support migration projects from legacy platform (Jive) to SharePoint Online. Support consolidation of old SharePoint sites in the tenant; move data, notify any affected users. Training & Documentation Develop and deliver training materials and sessions for end users and content owners. Maintain documentation for configurations, processes, and support procedures. Primary Skills : Bachelor s degree in Computer Science, Information Systems, or related field (or equivalent experience). 6+ years of experience in SharePoint administration, with at least 3 years in SharePoint Online. Strong knowledge of Microsoft 365 ecosystem, including Teams, OneDrive, Power Platform, and Azure AD. Proficiency in PowerShell scripting for automation and administration tasks. Experience with SharePoint migrations and third-party tools (e.g., ShareGate, Metalogix). Excellent communication, documentation, and stakeholder engagement skills. . This is to notify jobseekers that some fraudsters are promising jobs with Reflections Info Systems for a fee. Please note that no payment is ever sought for jobs in Reflections. We contact our candidates only through our official website or LinkedIn and all employment related mails are sent through the official HR email id. for any clarification/ alerts on this subject. Apply Now

About Us: Job Summary : We are seeking a highly skilled and experienced Data Designer to join our team. The ideal candidate will have a strong background in data modelling, metadata management, and data architecture principles, along with hands-on experience in cloud platforms and agile delivery environments. This role will be instrumental in designing scalable, high-performance data solutions and enforcing best practices in data governance and architecture. Key Responsibilities : *Strong experience in data modelling and design expertise. *Strong knowledge on Data architecture principals, including data warehousing and data lake designs. *Hands-on experience in metadata management, data lineage, and data cataloguing. *Ability to define and enforce data standards, naming conventions, and governance frameworks. *Excellent command of SQL and query tuning, ability to optimise large scale ETL/ELT pipelines. Role Requirements and Qualifications: *8+ years experience as a data designer in complex data ecosystem. *Experience in Code management tools (Git, GitHub). *Experience with Query performance optimisation. *Cloud data platforms (AWS Redshift, Databricks). *Excellent collaboration and stakeholder management/communication. *Extensive experience working in an agile environment. Why Join Us: *Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors. *Continuous investment in employee growth and professional development with a strong focus on up & re-skilling. *Competitive compensation & benefits, ESOPs and international assignments. *Supportive environment with healthy work-life balance and a focus on employee well-being. *Open culture that values diverse perspectives, encourages transparent communication and rewards contributions. How to Apply: If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.

Job Title: Snowflake Data Engineer (TL) Location: Bangalore, Hyderabad, Pune, Noida, Kolkata Work Experience: 5 to 7 years Role & Required Skills: Proven experience in Snowflake. Good experience in SQL and Python. Experience in Data Warehousing. Experience in Data migration from SQL to Snowflake. AWS experience is nice to have. Good communication skills. Responsibilities: Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models. Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Analyze and translate business needs into long-term solution data models. Evaluate existing data systems. Work with the development team to create conceptual data models and data flows. Develop best practices for data coding to ensure consistency within the system. Review modifications of existing systems for cross-compatibility. Implement data strategies and develop physical data models. Update and optimize local and metadata models. Evaluate implemented data systems for variances, discrepancies, and efficiency. Troubleshoot and optimize data systems. Role & Required Skills: Proven experience in Snowflake. Good experience in SQL and Python. Experience in Data Warehousing. Experience in Data migration from SQL to Snowflake. AWS experience is nice to have. Good communication skills.

Title: DAM Librarian Date: 3 Jul 2025 Location: Bangalore, KA, IN Job Description We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.comLooking to jump-start your careerWe understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene s high-speed growth.We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work. Must Have Role: DAM Librarian Description: You will be responsible for: Coordinating with Brand teams / agencies / internal stakeholders in terms of completeness of metadata requirement / source files etc. Conduct regular cleanup/hygiene activities. Enabling Brand Portals - Creating portals as per requirements / guiding Portal administrators for managing the Portals effectively Perform quality checks on all proposed content for the Content Hub Upload the Content to Platform (including in-design / source files) Manage Component Library, Claims Library and Digital Rights Management/ Taxonomy Prepare Content performance dashboards and reports as requested by Client; and provide Content Hub and/or VEEVA Vault portal maintenance. Creating Reporting Dashboards and maintaining them. Desired Profile (Key Skills). Proficient in understanding metadata and taxonomy structures of digital assets. Good understanding of end-to-end Digital asset management lifecycle. Good understanding of Business workflows and Asset management standard practices. Veeva , PromoMats, DAM & Strong written and verbal communication skills. Good to have EQUAL OPPORTUNITY

Req ID: 329228 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Platform Administrator to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Job highlights Qualifications Excellent oral and written English communication skills Specifically needs to be able to communicate well on phone calls Must be able to thrive under pressure and have a strong sense of ownership and responsibility for the project Minimum of 7-10 years of experience in the administration, architecture, design, and development of ETL programs using Informatica s data integration tools; Informatica experience must include working with large mission critical data systems (multiple terabytes in size with millions of rows processing per day) Must be able to demonstrate mastery of Informatica command line utilities Must be able to demonstrate mastery of quickly debugging and resolving issues that can arise with Informatica programs Must know how to navigate through the Informatica metadata repository Expert knowledge of Informatica version 8.5 and above Responsibilities This person will be part of the team that supports a growing Data Warehousing and Business Intelligence environment using Informatica, Oracle 11g/10g RDBMS, and SQL Server 2005/2008, Kibana , Elastic Search This individual will be responsible for the following: o Administering the Informatica environment on UNIX , Hands-on experience with Elastic Search Administrator. o Apply patches / upgrades / hotfixes for Informatica PowerCenter o Elasticsearch administration (cluster setup, Fleet server, Agent, Logstash, kibana, data modelling concepts) and Elastic Stack o Proficiency with Elasticsearch DSL for complex query development o Create ETL processes using Ingest Pipelines o Monitor performance, troubleshoot, and tune ETL processes o Will be responsible for 24x7 support o Work with Informatica vendor on any issues that arise o Support the Informatica developer team as needed o Ensure development teams are following appropriate standards o Promote and deploy Informatica code o Assist development team at design time ensuring code will run at scale o Serve as an Informatica Developer as needed to get work completed o Write and maintain BASH shell scripts for administering the Informatica environment o Design and implement appropriate error handling procedures o Develop project, documentation, and ETL standards in conjunction with data architects o Work with other team members to ensure standards around monitoring and management of the Informatica environment within the context of existing enterprise monitoring solutions #LI-INPAS

The Software Engineer II designs, develops, tests, deploys, monitors, and supports software solutions. Ensures quality, security, privacy, reliability, availability, maintainability, performance, compatibility and integrations of solutions throughout. Advances the teams technical foundation to deliver modern, simple, and secure solutions, and raises engineering skills within the squad. Scope of delivery and sphere of influence is for a single squad. Responsibilities: Responsible for design, development, testing, deployment, maintenance, monitoring, and support of a platform or application. Maintains thoughtful application design. Builds subject matter expertise in the business area. Contributes to and helps refine the teams backlog. Partners with teammates and the Product Owner to break down work into reasonable sizes that can be accomplished in a single iteration. Ensures stories have clearly understood value and defined acceptance criteria. Helps inform delivery estimates (story points). Seeks to understand prioritization and sequencing decisions. Seeks to understand key dependencies. Helps inform prioritization, identify dependencies, and influence the product roadmap. Participates in agile ceremonies, including daily stand-up, backlog refinement, planning, review/demo, and retrospectives. Helps drive collaboration within the team through participation in practices such as pair programming. Seeks to understand application architecture for the squads limited area of responsibility. Participates in peer mentoring. Follows quality standards. Leverages automation where possible. Ensures application performance, uptime, and scale. Participates in peer code reviews. Troubleshoots and fixes bugs, security risks, and bottlenecks. Improves software development lifecycle. Leverages and maintains support playbooks. Employs DevOps practices to advance the technical foundation of solutions. Starts exploring new technologies and ways of software delivery. Assists with the implementation of proof-of-concepts to experiment with new ideas. Performs other duties as assigned. Additional Requirements: Bachelor s degree, applicable certification or equivalent experience. Typically requires 2-4 years of professional experience, and general proficiency with tools, systems, and procedures required to accomplish the job. Exposure to data services in a cloud computing platform Experience coding in one of the following languages (Python, Scala, SQL, PowerShell) Demonstrated ability to quickly learn new software development tools Ability to participate and contribute in a team environment, and to work with users of all levels to identify requirements and deliver timely results Ability to grasp new technologies rapidly, break down data issues and resolve them Solid technical, communication and interpersonal skills Sound judgment and decision-making, and the appropriate sense of urgency. Coding proficiency in a modern programming or scripting language, strongly preferred Azure experience preferred (Logic and Function apps) Knowledge of database systems (SQL) Strong project and time management skills Ability to work and collaborate with cross functional teams Excellent communication skills, both written and oral Exposure to wholesale and/or retail solutions preferred Experience with Data Catalogs, business glossaries, data governance, and metadata management preferred Work Schedule: Standard Hours

The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. Leveraging the latest technologies, and built on ServiceNow s intelligent platform, we'deliver a seamless, personalized experience at every step of our customers journey. The products we build power digital business for ServiceNow and can even become commercially available. As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code thats scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work. Implement software that empowers internal customers to extend what it can do to meet their specific needs, as our own "customer zero." What you get to do in this role: Design and build scalable search ranking, indexing and personalization systems. Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Integrate user behavior signals, session data, and content metadata to optimize relevance. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Real-time Personalization using query Embeddings for Search Ranking Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Experience in MLOps and model governance Strong analytical and quantitative problem-solving ability Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AIs potential impact on the function or industry. 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience 3+ years experience building ML-powered search or recommendation systems. Strong programming skills in Python, Java, SpringBoot or Scala. Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM. Knowledge of embedding models, user/item vectorization, or session-based personalization. Experience with large-scale distributed systems (e.g., Spark, Kafka, Kubernetes). Hands-on experience with real-time ML systems. Background in NLP, graph neural networks, or sequence modeling. Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR. Hands-on experience working on AI search (text, vector and hybrid search)

Design and implement custom workflows using Collibra Workflow Designer (BPMN). Collaborate with data governance teams to translate business requirements into technical solutions. Develop and maintain Collibra integrations using APIs, Collibra Connect, and third-party tools. Configure and manage Collibra Data Intelligence Cloud components including domains, assets, and communities. Support metadata management, data lineage, and data catalog initiatives. Troubleshoot and resolve workflow issues and performance bottlenecks. Ensure compliance with data governance policies and standards. Document workflow logic, configurations, and integration processes. Required Skills & Qualifications: 5+ years of experience in data governance or metadata management. 2+ years of hands-on experience with Collibra platform, especially workflow development. Proficiency in Java, Groovy for scripting and workflow customization. Experience with Collibra Connect, REST APIs, and integration with tools like Informatica, Snowflake, or Azure. Familiarity with BPMN 2.0 and workflow lifecycle management. Strong understanding of data governance frameworks (eg, DAMA-DMBOK). Excellent problem-solving and communication skills. Mandatory skills* Data Governance Desired skills* Collibra Domain* Foods and Beverages

As Team Lead - Scientific Writing - Omnichannel, within our Hyderabad Hub, you'll be responsible for leading the Scientific Writing domain within the Content Operations Hub, ensuring seamless business continuity and driving strategies aligned with global priorities in Content Operations, GenAI, and digital presence optimization. You will manage resources, budget allocation, and vendor relationships, while overseeing content tagging, metadata management, and utilizing data-driven insights to optimize performance. You will also be responsible for driving synergies between other teams within Omnichannel/GTMC. You will supervise the Scientific Writing team within the Content Operations Hub for planning and executing market-driven campaigns, making data-driven business recommendations, and creating insightful presentations. Main responsibilities: To create synergies and provide functional and operational direction to Scientific Writing team within Content Operations Hub of Omnichannel pillar. Ensure seamless business continuity amidst capability and resource changes within content operations Support the Head/Content Operations Hub Lead for aligning Hub strategy with global business priorities, focusing on Scientific Writing domain within content operations, GenAI and content optimization Lead Scientific Writing team resources to improve individuals skills and enhance Hub services such as content creation, modular content and technical production Support the Head/Content Operations Hub Lead for managing budget allocation and vendor relationships crucial for content production and digital marketing tools Report on content performance metrics and derive actionable insights for senior leadership, ensuring strategic alignment and performance optimization Stay up to date with industry trends and best practices in commercial operations, and standardize all tools/processes used in Omnichannel Scientific Writing domain within activities deployed in hub and ensure their continuous improvement through continuous iteration and external benchmarking approach Support the content transformation program supporting the Glocal co-creation teams Be a strategic advisor for Omnichannel Scientific Writing capabilities execution Have a robust plan and implement concrete moves towards best-in-class capabilities Mentor the team, ensure knowledge sharing across team and company, provide global and local Content Operations teams with best practice and feedback loop on processes People: (1) Lead team of writers in content creation/corresponding support team content enhancement/graphic design/operations team; (2) Coach and develop team on content, process, agile methodologies, thoughtful risk taking, automation & innovation (including GenAI); (3) Maintain effective relationship with the stakeholders within the allocated GTMC pillar and cross-pillars - with an end objective to develop content as per requirement; (4) Interact effectively with health care professionals as relevant; (5) Partner with team to strengthen capabilities and support individual development plans (6) Collaborate with cross-functional teams in GTMC to build digital transformation/to bring innovative digital solutions (7) Provide proactive recommendations on improving scientific content of the deliverables and play an active role to follow the best practices in relation to processes, communications, project management, documentation and technical requirements Performance: (1) Provide strategic support across GTMC pillars; (2) Lead and support development of tools, technology, and processes to constantly improve quality and productivity (3) Ensure Scientific Writing team provides content as per agreed timelines and quality; (4) Coach team to become subject matter, process, and technological experts; and (5) Recommend, lead, and implement tactical process improvements within the department and division-wide Process: (1) Support delivery of projects in terms of resourcing, tools, technology, quality, timeliness, efficiency, and high technical standards for deliveries made by Scientific Writing domain within Content Operations Hub; (2) Contribute to overall quality enhancement by ensuring high scientific standards for the output produced by the Hub; (3) Secure adherence to compliance procedures and internal/operational risk controls in accordance with any and all applicable regulatory standards; (4) Facilitate development of complex scientific content (branded/unbranded); (5) Help build talent pool/capabilities/Omnichannel content experts across GBUs/therapeutic area(s); (6) Conduct comprehensive content-need analysis; (7) Implement the content plan and associated activities for the year identified for the pillar; (8) Work with selected vendors within the region to deliver the required deliverables as per defined process; (9) Leverage advanced training delivery tools and techniques thereby enhancing the effectiveness of training delivery; and (10) Design an overall plan of action based on end-user feedback and improve course content and delivery Stakeholder: (1) Work closely with GTMC/Omnichannel pillars (Global, Local, and Hub) to identify content need and assist in developing assigned deliverables and (2) Liaise with Omnichannel/ GBTs/AoR/LexMex to provide relevant and customized deliverables About you Experience : 8-10 years of experience in content creation/optimization (including up to 2 years of experience in leading a diverse team of 5-10 members) in medico-marketing / medical / commercial / Omnichannel domain for the pharmaceutical/healthcare industry/digital platforms; and ability to influence and negotiate Soft and Technical skills : Stakeholder management; proficient in written & oral communication; people management/ability to lead diverse teams; strong organizational and time management skills; and ability to work independently and within a team environment / As applicable (including but not limited to therapeutic area/domain knowledge exposure - Proficient in multiple TAs/domains/GBUs; scientific communications/writing; and/or project management) Education : Advanced degree in life sciences/pharmacy/similar discipline or medical degree Languages : Excellent knowledge of English language (spoken and written) Why choose us Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, we'll-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and we'llbeing benefits including high-quality healthcare, prevention and we'llness programs and at least 14 weeks gender-neutral parental leave Play a key role in shaping and optimizing our content strategy, driving business growth and achieving impactful results

Define and implement data quality rules, scorecards, and issue management workflows. Profile datasets to identify and resolve data quality issues. Monitor and report on data quality metrics and KPIs. Support data stewardship activities and provide training to business users. Implement and configure Collibra Data Intelligence Platform for metadata management, data cataloging, and governance workflows. Collaborate with business and IT stakeholders to define and enforce data governance policies and standards. Required Skills & Qualifications: 3+ years of experience in data governance, and data quality. Strong understanding of data governance frameworks eg, DAMADMBOK. Experience with SQL Familiarity with data privacy regulations eg, GDPR, CCPA. Excellent communication and stakeholder management skills. Mandatory skills* Data Quality Desired skills* Collibra Domain* Foods and Beverages

As an entry level Application Developer at IBM, you'll work with clients to co-create solutions to major real-world challenges by using best practice technologies, tools, techniques, and products to translate system requirements into the design and development of customized systems. In your role, you may be responsible for: Working across the entire system architectureto design, develop, and support high quality, scalable products and interfaces for our clients Collaborate with cross-functional teams to understand requirements and define technical specifications for generative AI projects Employing IBM's Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability Working with a variety of relational databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery) Creating everything from mockups and UI components to algorithms and data structures as you deliver a viable product Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SQL authoring, query, and cost optimisation primarily on Big Query. Python as an object-oriented scripting language. Data pipeline, data streaming and workflow management toolsDataflow, Pub Sub, Hadoop, spark-streaming Version control systemGIT & Preferable knowledge of Infrastructure as CodeTerraform. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience performing root cause analysis on internal and external data and processes to answer specific business questions. Preferred technical and professional experience Experience building and optimising data pipelines, architectures and data sets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable data stores. Experience supporting and working with cross-functional teams in a dynamic environment. We are looking for a candidate with experience in a Data Engineer role, who are also familiar with Google Cloud Platform.

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati