754 Metadata Jobs - Page 3

Key Responsibilities: Develop and execute SEO strategies to increase organic search visibility and traffic. Perform detailed keyword research, competitor analysis, and on-page audits. Optimize website structure, metadata, content, and internal linking. Collaborate with content writers to ensure content is optimized for search engines and user intent. Monitor performance via Google Analytics, Search Console, and SEO tools like SEMrush, Ahrefs, or Moz. Identify and fix technical SEO issues (e.g., page speed, crawlability, broken links). Stay updated on industry trends and algorithm changes, and adjust strategies accordingly. Prepare and present regular performance reports and actionable insights. Requirements: 2+ years of hands-on SEO experience with proven success in growing organic traffic. Proficiency in tools like Google Search Console, GA4, Screaming Frog, SEMrush, Ahrefs, or similar. Deep understanding of on-page, off-page, and technical SEO best practices. Ability to work with web developers and content teams to implement SEO strategies. Experience with CMS platforms (e.g., Shopify) is a plus. Strong analytical and problem-solving skills. Excellent communication and project management abilities. Nice to Have: Basic knowledge of HTML/CSS and schema markup. Experience in international or local SEO strategies. Familiarity with CRO (conversion rate optimization) and A/B testing tools. Experience: 2+ years.

Mid-day Studios is looking for a Story Research & Development Intern (Fiction & Non-Fiction) Duration: 8-12 Weeks (UNPAID) We are seeking a passionate and detail-oriented Story Research & Development Intern to support the creation of compelling fiction and non-fiction narratives. Key Responsibilities: FICTION STORY DEVELOPMENT 1. Story Research & Inspiration Mapping Curate inspirational material from newspaper clippings, web articles, and anecdotal sources (e.g., local crimes, cultural taboos, youth trends). Prepare chronological event sheets summarizing case developments. Liaise with stakeholders for research and character insights. Maintain detailed research documents for each idea, including: Title suggestions Thematic zone Socio-political backdrop Conflict arc 2. Character Matrix Preparation Create character bibles detailing: Background Physical traits Motivations Relationships Psychological dimensions Develop visual references/mood boards for 2-3 characters per story. 3. Story Outline Rewriting Convert treatments or synopses into: One-liners (loglines) 3-Act structure outlines Paragraph-length pitch synopses Explore alternate beginnings or endings tailored to genre tones such as suspense, satire, or horror. NON-FICTION STORY DEVELOPMENT 1. Subject Research & Timeline Curation Compile key elements for each non-fiction project (e.g., true crime, biography, investigative docs): Key events Stakeholders Legal/social developments Verified vs. speculative details Create visual chronologies or timelines. 2. Interview Content Curation Prepare background notes and interview questionnaires for journalists, witnesses, or experts. Connect with key stakeholders to coordinate interviews and research sessions. Summarize recorded interviews and transcripts into concise bullet-point documents. 3. Archive Building Collect and catalogue archival materials including: Footage News links Legal documents Audio clips Maintain a Google Sheet index with metadata: Date Credibility Source type 4. Fact vs. Fiction Sheet Develop column-based documentation for hybrid storytelling (e.g., docu-dramas): Incident Verified Facts Dramatized Elements Source

Career Category Engineering Job Description ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: The Director for Data Architecture and Solutions will lead Amgen s enterprise data architecture and solutions strategy, overseeing the design, integration, and deployment of scalable, secure, and future-ready data systems. This leader will define the architectural vision and guide a high-performing team of architects and technical experts to implement data and analytics solutions that drive business value and innovation. This role demands a strong blend of business acumen, deep technical expertise, and strategic thinking to align data capabilities with the companys mission and growth. The Director will also serve as a key liaison with executive leadership, influencing technology investment and enterprise data direction . Roles & Responsibilities: Develop and own the enterprise data architecture and solutions roadmap, aligned with Amgen s business strategy and digital transformation goals. Provide executive leadership and oversight of data architecture initiatives across business domains (R&D, Commercial, Manufacturing, etc.). Lead and grow a high-impact team of data and solution architects. Coach, mentor, and foster innovation and continuous improvement in the team. Design and promote modern data architectures (data mesh, data fabric, lakehouse etc.) across hybrid cloud environments and enable for AI readiness. Collaborate with stakeholders to define solution blueprints, integrating business requirements with technical strategy to drive value. Drive enterprise-wide adoption of data modeling, metadata management, and data lineage standards. Ensure solutions meet enterprise-grade requirements for security, performance, scalability, compliance, and data governance. Partner closely with Data Engineering, Analytics, AI/ML, and IT Security teams to operationalize data solutions that enable advanced analytics and decision-making. Champion innovation and continuous evolution of Amgen s data and analytics landscape through new technologies and industry best practices. Communicate architectural strategy and project outcomes to executive leadership and other non-technical stakeholders. Functional Skills: Must-Have Skills: 10+ years of experience in data architecture or solution architecture leadership roles, including experience at the enterprise level. Proven experience leading architecture strategy and delivery in the life sciences or pharmaceutical industry. Expertise in cloud platforms (AWS, Azure, or GCP) and modern data technologies (data lakes, APIs, ETL/ELT frameworks). Strong understanding of data governance, compliance (e.g., HIPAA, GxP), and data privacy best practices. Demonstrated success managing cross-functional, global teams and large-scale data programs. Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.). Proven leadership skills with a track record of managing and mentoring high-performing data architecture teams. Good-to-Have Skills: Master s or doctorate in Computer Science, Engineering, or related field. Certifications in cloud architecture (AWS, GCP, Azure). Experience integrating AI/ML solutions into enterprise Data Achitecture. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation). Scaled Agile or similar methodology experience. Leadership and Communication Skills: Strategic thinker with the ability to influence at the executive level. Strong executive presence with excellent communication and storytelling skills. Ability to lead in a matrixed, global environment with multiple stakeholders. Highly collaborative, proactive, and business-oriented mindset. Strong organizational and prioritization skills to manage complex initiatives. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Basic Qualifications: Doctorate degree and 2 years of Information Systems experience, or Master s degree and 6 years of Information Systems experience, or Bachelor s degree and 8 years of Information Systems experience, or Associates degree and 10 years of Information Systems experience, or 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs. .

About the Opportunity: Magnifi is looking for a proactive and detail-oriented Editorial Content Executive to join our team on a 1-year contractual basis , working directly with the Jio Hotstar team . About Videoverse: VideoVerse is an innovative and dynamic video technology company that serves as an umbrella brand for our powerful AI-based products; Magnifi & Illusto. We are an enthusiastic, passionate, fast-growing, diverse, and vibrant team that work with some of the biggest names in broadcasting (3 of the top 5 in India and growing quickly in Europe and the USA) and on some of the biggest sporting events in the world like the Indian Premier League (T20IPL), multiple European football leagues, and much more. The company is at a stage of rapid growth and is actively hiring enthusiastic individuals who believe in making a difference and revolutionizing the way content is created, distributed, and consumed in the evolving video-centric world. For more information, please click the links mentioned below: Videoverse LinkedIn: https: / / www.linkedin.com / company / videoverse / Videoverse: https://vverse.ai/ Magnifi: https://magnifi.ai/ About the products: Magnifi , is an AI-powered enterprise product that automatically detects key moments in video content, enabling real-time creation of highlights and short-form videos. With a global presence, Magnifi collaborates with various industries, including OTT platforms, sports broadcasters, and e-gaming platforms. Their vision is to empower users to create and share impactful stories across digital platforms with ease. Fostering a culture of innovation and collaboration, Magnifis leadership team is dedicated to leveraging AI for simplified video editing. The company has made notable acquisitions and received recognition for its contributions to the industry. Role and Responsibilities: For India: CMS tray creations, set-up, updates & maintenance Metadata changes, Jira ticket requests, on-call for CMS changes Masthead boosting for new & priority releases Editorial Masthead updates for tournament season Page Management on retool HoPP: Prod and Pre-Prod widget & space creation, management and experiments - creation and execution, on-call for home page changes GEC data extraction & curation for channel teams For HSI: CMS tray creations, set-up, updates & maintenance Page Management on retool Editorial Masthead upkeep About the Opportunity:Magnifi is looking for a proactive and detail-oriented Editorial Content Executive to join our team on a 1-year contractual basis, working directly with the Jio Hotstar team.About Videoverse:VideoVerse is an innovative and dynamic video technology company that serves as an umbrella brand for our powerful AI-based products; Magnifi & Illusto. We are an enthusiastic, passionate, fast-growing, diverse, and vibrant team that work with some of the biggest names in broadcasting (3 of the top 5 in India and growing quickly in Europe and the USA) and on some of the biggest sporting events in the world like the Indian Premier League (T20IPL), multiple European football leagues, and much more.The company is at a stage of rapid growth and is actively hiring enthusiastic individuals who believe in making a difference and revolutionizing the way content is created, distributed, and consumed in the evolving video-centric world.For more information, please click the links mentioned below:Videoverse LinkedIn: https: / / www.linkedin.com / company / videoverse / Videoverse: https://vverse.ai/Magnifi: https://magnifi.ai/About the products:Magnifi, is an AI-powered enterprise product that automatically detects key moments in video content, enabling real-time creation of highlights and short-form videos. With a global presence, Magnifi collaborates with various industries, including OTT platforms, sports broadcasters, and e-gaming platforms. Their vision is to empower users to create and share impactful stories across digital platforms with ease. Fostering a culture of innovation and collaboration, Magnifis leadership team is dedicated to leveraging AI for simplified video editing. The company has made notable acquisitions and received recognition for its contributions to the industry.Role and Responsibilities:For India:CMS tray creations, set-up, updates & maintenanceMetadata changes, Jira ticket requests, on-call for CMS changesMasthead boosting for new & priority releasesEditorial Masthead updates for tournament seasonPage Management on retoolHoPP: Prod and Pre-Prod widget & space creation, management and experiments - creation and execution, on-call for home page changesGEC data extraction & curation for channel teamsFor HSI:CMS tray creations, set-up, updates & maintenancePage Management on retoolEditorial Masthead upkeep

IBG Key Features: Data Modeling: CDS views allow developers to define semantically rich data models, making it easier to work with data from multiple tables. Performance Optimization: CDS views are designed for performance, allowing applications to access data quickly and efficiently. Annotations: CDS views can be enriched with annotations, which provide metadata that enhances their functionality and user interface. SQL-like Syntax: CDS views are defined using a SQL-like syntax, making it easier for developers to understand and use them. Database Layer: CDS views are defined and managed within the ABAP layer, directly in the database. ABAP Dictionary : CDS views are part of the ABAP Dictionary, which contains all the metadata for an SAP system.

Design, implement, and maintain conceptual, logical, and physical data models within the Avaloq Core Banking system. Collaborate with business analysts, product owners, and Avaloq parameterisation teams to translate business requirements into robust data models. Ensure alignment of data models with Avaloqs object model and industry best practices. Perform data profiling, quality checks, and lineage tracing to support regulatory and compliance requirements (e.g., Basel III, MiFID II, ESG). Support integration of Avaloq data with downstream systems (e.g., CRM, data warehouses, reporting platforms). Provide expert input on data governance, metadata management, and model documentation. Contribute to change requests, upgrades, and data migration projects involving Avaloq. Collaborate with cross-functional teams to drive data consistency, reusability, and scalability. Review and validate existing data models, identify gaps or optimisation opportunities. Ensure data models meet performance, security, and privacy requirements. Skills Must have Proven experience (5+ years) in data modelling or data architecture, preferably within financial services. 3+ years of hands-on experience with Avaloq Core Banking Platform, especially its data structures and object model. Strong understanding of relational databases and data modelling tools (e.g., ER/Studio, ERwin, or similar). Proficient in SQL and data manipulation in Avaloq environments. Knowledge of banking products, client lifecycle data, and regulatory data requirements. Familiarity with data governance, data quality, and master data management concepts. Experience working in Agile or hybrid project delivery environments. Nice to have Exposure to Avaloq Scripting or parameterisation is a strong plus. Experience integrating Avaloq with data lakes, BI/reporting tools, or regulatory platforms. Understanding of data privacy regulations (GDPR, FINMA, etc.). Certification in Avaloq or relevant financial data management domains is advantageous. Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Avaloq Software Engineer (Data) Avaloq India Remote India Avaloq Technical Lead Avaloq Australia Sydney Senior Avaloq Engineer Avaloq Australia Sydney Bengaluru, India Req. VR-114445 Avaloq BCM Industry 21/05/2025 Req. VR-114445 Apply for Data Modelling Expert (with Avaloq experience) in Bengaluru *

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: The Roblox Operating System (ROS) team is responsible for the foundational technology and services that power all experiences on Roblox. This critical team ensures a seamless, performant, and reliable platform for our global community of users and developers. You will be the first Product Manager hire for our India office, reporting to Theresa Johnson, the Head of Product for ROS. You will play a pivotal role in building and enhancing our data analytics capabilities within the Roblox operating system, collaborating closely with the India-based Data Engineering team, which includes an Engineering Manager, three engineers, and multiple data scientists. This is a full time onsite role based out of our Gurugram office. Shift Time: 2:00PM - 10:30PM IST (Cabs will be provided) You will: Collaborate with data engineering and product engineering teams in India to build integrated analytics tooling. Develop cross-functional data visualization and reporting capabilities. Implement advanced insights extraction methodologies. Develop self-service data exploration tools. Integrate data analytics capabilities into Roblox operating system. Ensure seamless data flow across organizational platforms. Implement cutting-edge data infrastructure solutions. Build a scalable data registry that will allow us to understand, register, classify and govern data across all of ROS. This will involve partnering with data engineers to build and maintain robust data pipelines integrating diverse sources like HR systems (Workday, Greenhouse), collaboration tools (Slack, Zoom), business applications (Pigment, Zendesk), and internal Roblox applications. Partner with Data Scientists to process and transform data into actionable insights, developing systems that generate builder development signals and promote positive behaviors. Contribute to achieving key outcomes such as reducing data access request resolution time by 60%, increasing self-service data exploration adoption by 75%, and achieving 99.9% data pipeline reliability. You have: A Bachelor s degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field. 8+ years of product management experience, with a focus on data platforms, analytics, or developer tools. Strong understanding of data infrastructure, data warehousing, and ETL processes, including experience with data governance tools focusing on discovery, cataloging, metadata management, classification, and quality assurance. Proven ability to work autonomously and define product scope in ambiguous environments. Experience collaborating with engineering and data science teams to deliver impactful data products. Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences. You are: Someone with strong product intuition of what we should be doing rather than just following instructions. Highly organized with a strong sense of urgency. A collaborative team player who can navigate cross-functional partnerships effectively. Adaptable and comfortable working in a fast-paced, evolving environment. A strategic thinker with a bias for action and a focus on delivering measurable results. Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

built on top of the Revelation Open Insights analytics platform. This role is ideal for an engineer who thrives in complex, data-intensive environments and has a passion for modernizing lega operational stability. Key Responsibilities Lead the maintenance, enhancement, and refactoring of the Python-based Legacy Registry system. Collaborate with data engineers, DevOps, and platform architects to ensure seamless integration with Revelation Open Insights. Analyze and optimize legacy code for performance, scalability, and maintainability. Design and implement automated testing strategies and CI/CD pipelines for legacy services. Troubleshoot and resolve production issues, ensuring high system availability and data integrity. Document system architecture, workflows, and technical decisions to support long-term maintainability. Participate in roadmap planning and contribute to modernization strategies. Key Skills Deep understanding of legacy system architecture, data modelling, and refactoring techniques. Experience working with SQL databases (e.g., PostgreSQL, MySQL) and data integration pipelines. Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD tools (e.g., GitHub Actions, Jenkins). Strong debugging, profiling, and performance tuning skills. Experience with enterprise data platforms or analytics systems. Familiarity with the Revelation Open Insights platform or similar data intelligence tools. Exposure to data governance, metadata management, or registry systems. Education and Experience B.Tech or B.E. or MCA or BCA 5+ years of professional experience in Python development, with a strong focus on backend systems Analytical and Personal Skills Must have good logical reasoning and analytical skills Ability to break big goals to small incremental actions Excellent Communication and collaboration skills Demonstrate Ownership and Accountability of their work Great attention to details Demonstrate ownership of tasks Positive and Cheerful outlook in life Work with the problem solver engineers team (Doc / PDF Only, Max file size 2 MB) By using this form you agree with the storage and handling of your data by this website. * You cannot copy content of this page Reconciliation Automation Data Sheet This field is for validation purposes and should be left unchanged.

At Amazon.com, we strive to be Earth s most customer-centric company. To support this vision, we need exceptionally 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 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 TSE (Trustworthy Shopping Experience) Operations Analytics 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 Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Bachelors degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field Experience using very large datasets Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages

Amazon Business Payments and Lending organization is seeking a highly quantitative Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytical solutions that global executive management teams and business leaders will use to deep dive into the businesses and define strategies. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part of the team that is focused on payments around the world. The position is based out of India but will interact with global leaders and teams across Europe, Japan, and US. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Note: This role is part of the rekindle program. For more details on rekindle program, please visit Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Retrieve and analyze data using SQL, Excel, and other data management systems and develop reporting and data visualization solutions -using tools like AWS QuickSight and Looker. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Model data and metadata to support the reporting pipelines and automate the manual reporting solutions. Understand trends related to business metrics and recommend strategies to stakeholders to help drive business growth. Reporting of key insight trends, using statistical rigor (Hypothesis testing, measuring experiment success defining statistical significance, developing basic regression and forecasting models) to simplify and inform the larger team of noteworthy story lines. A day in the life Analyze data and find insights to either drive strategic business decisions or to drive incremental signups or revenue. Define and develop business critical metrics and reports across all international business levers, key performance indicators, and financials. Own alignment and standardization of analytical initiatives across the global business teams Drive efforts across international business leaders, BI leaders and executive management across Europe, Asia and North America. Own key executive reports and metrics that are consumed by our VPs and Directors Provide thought leadership in global business deep dives across a variety of key performance indicators 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Masters degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis

We are looking for ingenious Salesforce DevOps/Release Manager to join our Salesforce Studio. Globant s Salesforce Studio uses technology ecosystem, to enable organizations to transform their business, drive desired outcomes, and build customer loyalty and growth. We build better experiences and augmented digital engagements for our vast clientele. Come join the team and seek reinvention with Salesforce. JOB: Salesforce DevOps/Release Manager Required Skills/Experience: 8+ years of relevant experience in Salesforce DevOps/Release Management with a strong automation mindset. Proficiency in tools specific to Salesforce development, such as Salesforce DX, Metadata API, and Salesforce CLI. Solid understanding of how to configure, deploy, manage, and maintain Salesforce applications Strong understanding of version control (Git), branching/merging strategies, and build setup. Experience in handling Salesforce metadata, environments, and sandbox management. Experience in setting up and managing code quality tools like SonarQube will be an added advantage. Experience Implementing any Salesforce DevOps Commercial tools such as Copado, Flosum, Gearset/Changeset, Autorabit, etc. Familiarity with Salesforce platforms, including various cloud will be preferred like Sales Cloud, Service Cloud, Experience Cloud, Health Cloud, Marketing Cloud, CDP, MCP, etc.

Key Responsibilities: Design, build, and maintain robust and scalable data pipelines to support analytics and reporting needs. Manage and optimize data lake architectures, with a focus on Apache Atlas for metadata management, data lineage, and governance. Integrate and curate data from multiple structured and unstructured sources to enable advanced analytics. Collaborate with data scientists and business analysts to ensure availability of clean, well-structured data. Implement data quality, validation, and monitoring processes across data pipelines. Develop and manage Power BI datasets and data models, supporting dashboard and report creation. Support data cataloging and classification using Apache Atlas for enterprise-wide discoverability and compliance. Ensure adherence to data security, privacy, and compliance policies.

Overview Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets. Responsibilities Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets. Java development with hands-on experience in Spring Boot. Strong knowledge of UI frameworks, particularly Angular, for developing dynamic, interactive web applications. Experience with Kubernetes for managing microservices-based applications in a cloud environment. Familiarity with Postgres (relational) and Neo4j (graph database) for managing complex data models. Experience in Meta Data Modeling and designing data structures that support high-performance and scalability. Expertise in Camunda BPMN and business process automation. Experience implementing rules with Drools Rules Engine. Knowledge of Unix/Linux systems for application deployment and management. Experience building data Ingestion Frameworks to process and handle large datasets.

Embrace the mantra of quality over quantity with us! Your keen attention to detail will drive success in our Quality team. Be part of a dynamic environment where your contributions ensure excellence in product standards. Job Summary As a Quality Specialist within the Collateral CoE, you ensure loan documents adhere to QC standards. You refine liens, index documents, and capture essential metadata. You also pledge loans to FRBNY, maintaining compliance with regulatory requirements. Job Responsibilities Oversee production workflow to avoid backlogs Conduct EOD checks for request assignment and processing Propose procedural changes to Manager and LOB head Disseminate process updates to team and revise procedures Develop resiliency plans for contingencies Diagnose root causes of productivity and quality issues Facilitate effective communication within team and partners Execute QC on Flood and Hazard Insurance requirements Manage collateral perfection and release QC Record FRBNY, Core, and Business metadata Pledge loans to FRBNY following document review Required Qualifications, capabilities, and skills Possess a Bachelor/Master s Degree with minimum 3 years of experience Exhibit customer service experience Demonstrate documentation and QC experience in banking Communicate proficiently both verbally and in writing Resolve problems and make decisions autonomously Investigate and respond to business queries Engage in process improvements Preferred qualifications, capabilities, and skills Operate with limited supervision Thrive in a team environment Adjust to night shifts Leverage MS-office applications Utilize QC tools and analytics expertise

Req ID: 324664 We are currently seeking a Data Architect to join our team in Chennai, Tamil Ndu (IN-TN), India (IN). Key Responsibilities: Develop and articulate long-term strategic goals for data architecture vision and establish data standards for enterprise systems. Utilize various cloud technologies, including Azure, AWS, GCP, and data platforms like Databricks and Snowflake. Conceptualize and create an end-to-end vision outlining the seamless flow of data through successive stages. Institute processes for governing the identification, collection, and utilization of corporate metadata, ensuring accuracy and validity. Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement. Evaluate and determine governance, stewardship, and frameworks for effective data management across the enterprise. Develop comprehensive strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving. Identify potential areas for policy and procedure enhancements, initiating changes where required for optimal data management. Formulate and maintain data models and establish policies and procedures for functional design. Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation. Stay informed about upgrades and emerging database technologies through continuous research. Collaborate with project managers and business leaders on all projects involving enterprise data. Document the data architecture and environment to ensure a current and accurate understanding of the overall data landscape. Design and implement data solutions tailored to meet customer needs and specific use cases. Provide thought leadership by recommending the most suitable technologies and solutions for various use cases, spanning from the application layer to infrastructure. Basic Qualifications: 8+ years of hands-on experience with various database technologies 6+ years of experience with Cloud-based systems and Enterprise Data Architecture, driving end-to end technology solutions. Experience with Azure, Databricks, Snowflake Knowledgeable on concepts of GenAI Ability to travel at least 25%." Preferred Skills: Possess certifications in AWS, Azure, and GCP to complement extensive hands-on experience. Demonstrated expertise with certifications in Snowflake. Valuable "Big 4" Management Consulting experience or exposure to multiple industries. Undergraduate or graduate degree preferred.

Role & responsibilities Collaborate with stakeholders to enhance Issuer Services' data management framework. Define and promote data principles, standards, and best practices. Represent the Data Office in enterprise-wide data initiatives. Identify key data attributes and implement quality controls. Support data governance tools, processes, and continuous improvement. Provide guidance on data governance issues and resolutions. Work with business and tech teams on analysis, documentation, and data roadmaps. Evaluate and recommend objectives to advance data management services. Preferred candidate profile Strong stakeholder, team, and project management skills. Experienced in Agile (scrum, sprint planning, backlog refinement). Solid background in data governance, management, and best practices. Skilled in enterprise data processes, database, and schema design. Excellent communication, problem-solving, and leadership abilities. Tools: Collibra, Solidatus, Excel; large data sets. Domain experience in banking/financial services, especially issuer services.

Dear Candidate, We are hiring a Data Quality Analyst to ensure the accuracy, integrity, and consistency of enterprise data assets. This role supports data-driven decision-making through validation, profiling, and quality improvement initiatives. Key Responsibilities: Monitor, measure, and report on data quality metrics. Identify data anomalies and work with teams to resolve issues. Perform data profiling and root cause analysis. Design and execute data validation tests and quality rules. Collaborate with data stewards, engineers, and business teams. Required Skills & Qualifications: Strong SQL skills and experience with data profiling tools. Familiarity with data governance and MDM concepts. Experience with ETL processes and reporting platforms. Analytical mindset with attention to detail. Knowledge of tools like Talend, Informatica, or Collibra is a plus. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As a Consultant you will serve as a client-facing practitioner who sells, leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. You will work developing solutions that excel at user experience, style, performance, reliability, and scalability to reduce costs and improve profit and shareholder value. Your primary responsibilities include: Shape solutions within Oracle Cloud based on key client requirements following Agile methodology. Configure and test applications to check that it meets business requirements. Work under a continued improvement culture, challenging ideas and finding solutions to problems. Design and development of process management in planning. Years of Experience must be between 4 to 8 Years. Good and Effective Communication skill to understand the requirement and articulate the solution. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Must have functional knowledge of planning modelling like Workforce, Capex and Financials Configuration of EPBCS Financials, Workforce and Projects modules as per business requirements and design Good experience with Metadata builds and update members Must have experience in solution Design of FCCS process flow Strong knowledge on consolidation methods includes cost method, equity, and subsidiary Preferred technical and professional experience Excellent written and verbal interpersonal skills for coordinating across teams Should have at least 2 end to end implementation experience Ability to write and update the rules of historical overrides

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That s why we need smart, committed people to join us. Whether you re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor y while evolving your skills in a culture that will welcome your unique contributions? If so, lets start the conversation. About the role... As a "Coordinator - Imaging Operations" at Iron Mountain, your primary responsibility is to manage scanning and digitization projects at customer site and IMI facilities, supervise and manage working team on ground aside vendorised staffs, plan for seamless, qualitative and on-time delivery for projects adhering by the scope of work, managing sign offs for POC (Proof of Concept), UAT (User Acceptance Tests), WCC (Work Completion Certifications) and assisting vertical leads in attaining monthly, quarterly, annual revenue targets. You should be open-minded and collaborative to various scopes of automation, integration of advanced technology into projects, and savvy to scanners / production imaging equipments. Qualifying Criteria... - Target oriented and self motivated team player with deep understanding of scanning, digitization, metadata, DMS (Document management system), workflow management and automation of repetitive tasks. - Must have previous experience of handling scanning and digitization projects with inhouse and vendorised teams. - Trade experience of minimum 3-5 yrs engaging team size of 50+. - Deep understanding of Google Sheets and MIS reporting is highly required. - Educational background: Graduate is must, MBA in Operations will be preferred. - Should have good knowledge of production scanners (ADF/ Overhead/ Flatbed / BookEye etc). - Must be a customer oriented thinker willing to relocate as per project requirements. Category: Operations Group

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That s why we need smart, committed people to join us. Whether you re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor y while evolving your skills in a culture that will welcome your unique contributions? If so, lets start the conversation. About the role... As a "Senior Executive - Imaging Operations" at Iron Mountain, your primary responsibility is to manage scanning and digitization projects at customer site and IMI facilities, supervise and manage working team on ground aside vendorised staffs, plan for seamless, qualitative and on-time delivery for projects adhering by the scope of work, managing sign offs for POC (Proof of Concept), UAT (User Acceptance Tests), WCC (Work Completion Certifications) and assisting vertical leads in attaining monthly, quarterly, annual revenue targets. You should be open-minded and collaborative to various scopes of automation, integration of advanced technology into projects, and savvy to scanners / production imaging equipments. Qualifying Criteria... - Target oriented and self motivated team player with deep understanding of scanning, digitization, metadata, DMS (Document management system), workflow management and automation of repetitive tasks. - Must have previous experience of handling scanning and digitization projects with inhouse and vendorised teams. - Trade experience of minimum 2-5 yrs engaging team size of 50+. - Deep understanding of Google Sheets and MIS reporting is highly required. - Educational background: Graduate is must, MBA in Operations will be preferred. - Should have good knowledge of production scanners (ADF/ Overhead/ Flatbed / BookEye etc). - Must be a customer oriented thinker willing to relocate as per project requirements. - Proven track record from the digitization trade will be preferred. Category: Operations Group

ESK Technologies is seeking an experienced Sr. AEM Developer to join our team in Chennai. Mandatory Skills: AEM Development, Java Development, Front-end Deployment (HTML, CSS, JavaScript), pKnowledge of AEM Architecture preferred Job Title: Sr AEM Developer Location: Annasalai, Chennai Experience: 7+ Years Employment Type: Full-Time Job Overview: We are looking for an experienced and passionate Adobe Experience Manager (AEM) Developer to join our team. This role requires strong expertise in AEM development, customization, and integration, along with the ability to lead and mentor junior developers. You will be responsible for delivering robust, scalable, and high-performing AEM-based solutions. Key Responsibilities: AEM Development & Customization: Design, develop, and customize AEM solutions including templates, components, workflows, and integrations. Architecture & Best Practices: Understanding of AEM architecture, Sling models, OSGi bundles, content modeling, and deployment models. Customization & Extension: Extend AEM functionality using AEM APIs, OSGi services, and other extension points. Mentorship: Mentor junior developers, conduct code reviews, share best practices, and support continuous learning within the team. Front-End Development: Use HTML, CSS, and JavaScript to build responsive and user-friendly interfaces within AEM. Java Development: Leverage your strong Java skills to develop AEM applications using Java-based frameworks. Integration: Integrate AEM with external systems such as CRM platforms, marketing automation tools, and RESTful APIs. Security & Permissions: Work with AEM schemas and metadata ACLs to manage access controls and permissions. What You Bring: 7+ years of hands-on experience with Adobe Experience Manager (AEM) Strong proficiency in Java, HTML, CSS, JavaScript, and Java-based frameworks Understanding in AEM architecture, Sling models, OSGi, and deployment strategies Experience integrating AEM with third-party APIs, CRM systems, and marketing platforms Leadership experience including mentoring and guiding junior developers Familiarity with version control systems like Git Excellent debugging, problem-solving, and communication skills

About Arctera Arctera keeps the world s IT systems working. We can trust that our credit cards will work at the store, that power will be routed to our homes and that factories will produce our medications because those companies themselves trust Arctera. Arctera is behind the scenes making sure that many of the biggest organizations in the world - and many of the smallest too - can face down ransomware attacks, natural disasters, and compliance challenges without missing a beat. We do this through the power of data and our flagship products, Insight, InfoScale and Backup Exec. Illuminating data also helps our customers maintain personal privacy, reduce the environmental impact of data storage, and defend against illegal or immoral use of information. It s a task that continues to get more complex as data volumes surge. Every day, the world produces more data than it ever has before. And global digital transformation - and the arrival of the age of AI - has set the course for a new explosion in data creation. Joining the Arctera team, you ll be part of a group innovating to harness the opportunity of the latest technologies to protect the world s critical infrastructure and to keep all our data safe. Lead Salesforce Developer (CPQ & Quote to Cash) About Arctera Arctera helps organizations around the world thrive by ensuring they can trust, access, and illuminate their data from creation to retirement. Created in 2024 from Veritas Technologies, an industry leader in secure multi-cloud data resiliency, Arctera comprises three business units: Data Compliance, Data Protection and Data Resilience. Arctera provides more than 75,000 customers worldwide with market-leading solutions that help them to manage one of their most valuable assets: data We are looking for a highly skilled Lead Salesforce Developer with 9+ years of experience in Quote-to-Cash (QTC) and Salesforce CPQ. This role will be responsible for architecting, designing, and developing scalable CPQ solutions while ensuring seamless integration within the Salesforce ecosystem. The ideal candidate will have deep technical expertise, leadership experience, and a strong understanding of end-to-end QTC processes. This is a strategic role that involves hands-on development, technical leadership, and collaboration with cross-functional teams to drive automation and efficiency in the sales and revenue lifecycle. Key Responsibilities Lead the architecture, design, and development of Salesforce CPQ and QTC solutions Define best practices, technical standards, and governance for Salesforce development to ensure scalability and performance Design and implement complex pricing models, discount structures, contract management, and automated renewals Develop and customize Salesforce CPQ using Apex, Lightning Web Components (LWC), Visualforce, SOQL, and Flows Implement advanced business logic, automations, and process improvements to support sales and revenue operations Optimize CPQ configurations, guided selling, approvals, and contract lifecycle processes Architect and develop integrations within Salesforce using REST and SOAP APIs Ensure data consistency and integrity across Salesforce environments Provide technical guidance, mentorship, and code reviews for a team of Salesforce developers Enforce coding best practices, DevOps methodologies, and CI/CD pipelines for efficient deployment and version control Collaborate with business stakeholders, Product Managers, and Solution Architects to translate business needs into scalable technical solutions Conduct regular system audits, performance tuning, and security assessments Implement robust sharing and security models to protect sensitive data Stay updated with Salesforce releases and CPQ enhancements, proactively implementing new features Work closely with Sales, Finance, IT, and Operations teams to streamline the Quote-to-Cash process Identify automation opportunities, process optimizations, and system improvements to enhance user experience Lead technical workshops, training sessions, and documentation efforts to drive adoption Qualifications & Experience 10+ years of hands-on Salesforce development experience, with at least 6+ years specializing in Salesforce CPQ and Quote-to-Cash Deep expertise in Salesforce CPQ, including product catalog, complex pricing models, discount structures, approvals, and contract lifecycle management Strong development experience with Apex, LWC, Visualforce, SOQL, and Flows, with a focus on modular and reusable code Extensive knowledge of Salesforce data architecture, security models, and governor limits Hands-on experience with API development and event-driven architectures within Salesforce Strong understanding of CI/CD, version control, and deployment automation Experience in Salesforce DevOps, SFDX, Scratch Orgs, and Metadata API Excellent problem-solving and debugging skills, with the ability to resolve complex technical issues Strong communication, stakeholder management, and team leadership experience Salesforce certifications such as Salesforce CPQ Specialist, Platform Developer II, or Application/System Architect are highly preferred Knowledge of front-end technologies such as JavaScript, HTML5, CSS, and Aura Components is a plus

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Sanas is a 200-strong team, established in 2020. In this short span, we ve successfully secured over $100 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you re not just adopting a product; you re investing in the future of communication. We re looking for a sharp, hands-on Data Engineer to help us build and scale the data infrastructure that powers cutting-edge audio and speech AI products. You ll be responsible for designing robust pipelines, managing high-volume audio data, and enabling machine learning teams to access the right data fast. As one of the first dedicated data engineers on the team, youll play a foundational role in shaping how we handle data end-to-end, from ingestion to training-ready features. Youll work closely with ML engineers, research scientists, and product teams to ensure data is clean, accessible, and structured for experimentation and production. Key Responsibilities : Build scalable, fault-tolerant pipelines for ingesting, processing, and transforming large volumes of audio and metadata. Design and maintain ETL workflows for training and evaluating ML models, using tools like Airflow or custom pipelines. Collaborate with ML research scientists to make raw and derived audio features (e.g., spectrograms, MFCCs) efficiently available for training and inference. Manage and organize datasets, including labeling workflows, versioning, annotation pipelines, and compliance with privacy policies. Implement data quality, observability, and validation checks across critical data pipelines. Help optimize data storage and compute strategies for large-scale training. Qualifications : 2-5 years of experience as a Data Engineer, Software Engineer, or similar role with a focus on data infrastructure. Proficient in Python, SQL, and working with distributed data processing tools (e.g., Spark, Dask, Beam). Experience with cloud data infrastructure (AWS/GCP), object storage (e.g.,S3), and data orchestration tools. Familiarity with audio data and its unique challenges (large file sizes, time-series features, metadata handling) is a strong plus. Comfortable working in a fast-paced, iterative startup environment where systems are constantly evolving. Strong communication skills and a collaborative mindset you ll be working cross-functionally with ML, infra, and product teams. Nice to Have : Experience with data for speech models like ASR, TTS, or speaker verification. Knowledge of real-time data processing (e.g., Kafka, WebSockets, or low-latency APIs). Background in MLOps, feature engineering, or supporting model lifecycle workflows. Experience with labeling tools, audio annotation platforms, or human-in-the-loop systems. Joining us means contributing to the world s first real-time speech understanding platform revolutionizing Contact Centers and Enterprises alike. Our technology empowers agents, transforms customer experiences, and drives measurable growth. But this is just the beginning. Youll be part of a team exploring the vast potential of an increasingly sonic future

We are seeking a highly skilled and experienced Ab Initio Lead with 10 years of hands-on experience in ETL development preferably Ab Initio. The ideal candidate should have strong technical expertise, leadership qualities, and the ability to guide teams and collaborate with cross-functional stakeholders. This role involves end-to-end ownership of data integration and ETL processes using Ab Initio tools. Lead the design, development, and implementation of complex ETL solutions using Ab Initio (GDE, EME, Co>Operating System, and related components). Work closely with business analysts, data architects, and stakeholders to gather requirements and translate them into scalable data pipelines. Optimize performance of ETL jobs and troubleshoot data issues in large-scale production environments. Lead a team of Ab Initio developers and ensure adherence to development standards and best practices. Manage code reviews, performance tuning, and deployment activities. Ensure high levels of data quality and integrity through effective testing and validation procedures. Work with DevOps and infrastructure teams to support deployments and release management. Required Skills: 10+ years of hands-on experience with Ab Initio development (GDE, EME, Conduct>It, Co>Operating System, Continuous Flows, etc.). Strong experience in data warehousing concepts and ETL design patterns. Expertise in performance tuning and handling large volumes of data. Knowledge of data modeling, data governance, and metadata management. Strong problem-solving and debugging skills. Excellent communication and stakeholder management skills. Ability to lead and mentor a team of developers effectively. Lead, Abinitio

Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions Partner with Data Management and integration leads to improve Data Management technologies and processes. Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Experience in setting up peoples roles, responsibilities and controls, data ownership, workflows and common processes Integrate Collibra with other enterprise toolsData Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows 10. Develop API (REST, SOAP) to expose the metadata functionalities to the end-users Location :Pan India