232 Erwin Jobs

Your Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL). Collaborate with solution teams and Data Architects to implement data strategies, build data flows, and develop logical/physical data models. Work with Data Architects to define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Engage in hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Proactively and independently address project requirements and articulate issues/challenges to reduce project delivery risks. Your Profile Bachelor's degree in computer/data science technical or related experience. Possess 7+ years of hands-on relational, dimensional, and/or analytic experience utilizing RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols. Demonstrated experience with data warehouse, Data Lake, and enterprise big data platforms in multi-data-center contexts. Proficient in metadata management, data modeling, and related tools (e.g., Erwin, ER Studio). Preferred experience with services in Azure/Azure Databricks (Azure Data Factory, Azure Data Lake Storage, Azure Synapse & Azure Databricks) and working on SAP Datasphere is a plus. Experience in team management, communication, and presentation. Understanding of agile delivery methodology and experience working in a scrum environment. Ability to translate business needs into data vault and dimensional data models supporting long-term solutions. Collaborate with the Application Development team to implement data strategies, create logical and physical data models using best practices to ensure high data quality and reduced redundancy. Optimize and update logical and physical data models to support new and existing projects. Maintain logical and physical data models along with corresponding metadata. Develop best practices for standard naming conventions and coding practices to ensure data model consistency. Recommend opportunities for data model reuse in new environments. Perform reverse engineering of physical data models from databases and SQL scripts. Evaluate data models and physical databases for variances and discrepancies. Validate business data objects for accuracy and completeness. Analyze data-related system integration challenges and propose appropriate solutions. Develop data models according to company standards. Guide System Analysts, Engineers, Programmers, and others on project limitations and capabilities, performance requirements, and interfaces. Review modifications to existing data models to improve efficiency and performance. Examine new application design and recommend corrections as needed. #IncludingYou Diversity, equity, inclusion, and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. ADM is committed to attracting and retaining a diverse workforce and creating welcoming, inclusive work environments that enable every ADM colleague to feel comfortable, make meaningful contributions, and grow their career. ADM values the unique backgrounds and experiences that each person brings to the organization, understanding that diversity of perspectives makes us stronger together. For more information regarding ADM's efforts to advance Diversity, Equity, Inclusion & Belonging, please visit the website: Diversity, Equity and Inclusion | ADM. About ADM At ADM, the power of nature is unlocked to provide access to nutrition worldwide. With industry-advancing innovations, a comprehensive portfolio of ingredients and solutions catering to diverse tastes, and a commitment to sustainability, ADM offers customers an edge in addressing nutritional challenges. As a global leader in human and animal nutrition and the premier agricultural origination and processing company worldwide, ADM's capabilities in insights, facilities, and logistical expertise are unparalleled. From ideation to solution, ADM enriches the quality of life globally. Learn more at www.adm.com.,

The ideal candidate for this position should have 8-12 years of experience and possess a strong understanding and hands-on experience with Microsoft Fabric. You will be responsible for designing and implementing end-to-end data solutions on Microsoft Azure, which includes data lakes, data warehouses, and ETL/ELT processes. Your role will involve developing scalable and efficient data architectures to support large-scale data processing and analytics workloads. Ensuring high performance, security, and compliance within Azure data solutions will be a key aspect of this role. You should have knowledge of various techniques such as lakehouse and warehouse, along with experience in implementing them. Additionally, you will be required to evaluate and select appropriate Azure services like Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Unity Catalog, and Azure Data Factory. Deep knowledge and hands-on experience with these Azure Data Services are essential. Collaborating closely with business and technical teams to understand and translate data needs into robust and scalable data architecture solutions will be part of your responsibilities. You should also have experience in data governance, data privacy, and compliance requirements. Excellent communication and interpersonal skills are necessary for effective collaboration with cross-functional teams. In this role, you will provide expertise and leadership to the development team implementing data engineering solutions. Working with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements is crucial. Optimizing cloud-based data infrastructure for performance, cost-effectiveness, and scalability will be another key responsibility. Experience in programming languages like SQL, Python, and Scala is required. Hands-on experience with MS SQL Server, Oracle, or similar RDBMS platforms is preferred. Familiarity with Azure DevOps and CI/CD pipeline development is beneficial. An in-depth understanding of database structure principles and distributed data processing of big data batch or streaming pipelines is essential. Knowledge of data visualization tools such as Power BI and Tableau, along with data modeling and strong analytics skills is expected. The candidate should be able to convert OLTP data structures into Star Schema and ideally have DBT experience along with data modeling experience. A problem-solving attitude, self-motivation, attention to detail, and effective task prioritization are essential qualities for this role. At Hitachi, attitude and aptitude are highly valued as collaboration is key. While not all skills are required, experience with Azure SQL Data Warehouse, Azure Data Factory, Azure Data Lake, Azure Analysis Services, Databricks/Spark, Python or Scala, data modeling, Power BI, and database migration are desirable. Designing conceptual, logical, and physical data models using tools like ER Studio and Erwin is a plus.,

You should have familiarity with modern storage formats like Parquet and ORC. Your responsibilities will include designing and developing conceptual, logical, and physical data models to support enterprise data initiatives. You will build, maintain, and optimize data models within Databricks Unity Catalog, developing efficient data structures using Delta Lake to optimize performance, scalability, and reusability. Collaboration with data engineers, architects, analysts, and stakeholders is essential to ensure data model alignment with ingestion pipelines and business goals. You will translate business and reporting requirements into a robust data architecture using best practices in data warehousing and Lakehouse design. Additionally, maintaining comprehensive metadata artifacts such as data dictionaries, data lineage, and modeling documentation is crucial. Enforcing and supporting data governance, data quality, and security protocols across data ecosystems will be part of your role. You will continuously evaluate and improve modeling processes. The ideal candidate will have 10+ years of hands-on experience in data modeling in Big Data environments. Expertise in OLTP, OLAP, dimensional modeling, and enterprise data warehouse practices is required. Proficiency in modeling methodologies including Kimball, Inmon, and Data Vault is expected. Hands-on experience with modeling tools like ER/Studio, ERwin, PowerDesigner, SQLDBM, dbt, or Lucidchart is preferred. Proven experience in Databricks with Unity Catalog and Delta Lake is necessary, along with a strong command of SQL and Apache Spark for querying and transformation. Experience with the Azure Data Platform, including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database is beneficial. Exposure to Azure Purview or similar data cataloging tools is a plus. Strong communication and documentation skills are required, with the ability to work in cross-functional agile environments. Qualifications for this role include a Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field. Certifications such as Microsoft DP-203: Data Engineering on Microsoft Azure are desirable. Experience working in agile/scrum environments and exposure to enterprise data security and regulatory compliance frameworks (e.g., GDPR, HIPAA) are also advantageous.,

You should have at least 2 years of professional work experience in implementing data pipelines using Databricks and datalake. A minimum of 3 years of hands-on programming experience in Python within a cloud environment (preferably AWS) is necessary for this role. Having 2 years of professional work experience with real-time streaming systems such as Event Grid and Event topics would be highly advantageous. You must possess expert-level knowledge of SQL to write complex, highly-optimized queries for processing large volumes of data effectively. Experience in developing conceptual, logical, and/or physical database designs using tools like ErWin, Visio, or Enterprise Architect is expected. A minimum of 2 years of hands-on experience working with databases like Snowflake, Redshift, Synapse, Oracle, SQL Server, Teradata, Netezza, Hadoop, MongoDB, or Cassandra is required. Knowledge or experience in architectural best practices for building data lakes is a must for this position. Strong problem-solving and troubleshooting skills are necessary, along with the ability to make sound judgments independently. You should be capable of working independently and providing guidance to junior data engineers. If you meet the above requirements and are ready to take on this challenging role, we look forward to your application. Warm Regards, Rinka Bose Talent Acquisition Executive Nivasoft India Pvt. Ltd. Mobile: +91-9632249758 (INDIA) | 732-334-3491 (U.S.A) Email: rinka.bose@nivasoft.com | Web: https://nivasoft.com/,

As a Data Modeller at ReBIT, you will be responsible for technology delivery by collaborating with business stakeholders, RBI departments, and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models, data migration, and generate business reports. You will play a crucial role in identifying the architecture, infrastructure, interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. The ideal candidate should possess 8-14 years of experience in the IT industry with hands-on experience in relational, dimensional, and/or analytic data using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols. Experience in data technologies such as SQL, Pl/SQL, Oracle Exadata, MongoDB, Cassandra, and Hadoop is required. Additionally, expertise in designing enterprise-grade application data models/structures, particularly in the BFSI domain, is essential. You should have a good understanding of metadata management, data modeling, and related tools like Oracle SQL Developer Data Modeler, Erwin, or ER Studio. Your role will involve working on modeling, design, configuration, installation, and performance tuning to ensure the successful delivery of applications in the BFSI domain. Furthermore, you will be responsible for building best-in-class performance-optimized relational/non-relational database structures/models and creating ER diagrams, data flow diagrams, and dimensional diagrams for relational systems/data warehouse. In this role, you will need to work proactively and independently to address project requirements and effectively communicate issues/challenges to reduce project delivery risks. You will be a key player in driving the data modeling process, adhering to design standards, tools, best practices, and related development for enterprise data models. If you are a data modeling professional with a passion for delivering innovative solutions in a collaborative environment, this role at ReBIT in Navi Mumbai offers an exciting opportunity to contribute to the BFSI domain while honing your skills in data modeling and technology delivery.,

You should have a Bachelor's or Master's degree in computer/data science or related field, or equivalent technical experience. With a minimum of 7 years of hands-on experience in relational, dimensional, and/or analytic data modeling. Your expertise should include a strong command of SQL and practical experience working with databases such as Oracle, PostgreSQL, Snowflake, and Teradata. Your responsibilities will involve hands-on activities like modeling, design, configuration, installation, performance tuning, and sandbox Proof of Concept (POC). Proficiency in metadata management, data modeling, and related tools such as Erwin or ER Studio is essential. You should be experienced in data modeling, ER diagramming, and designing enterprise software for OLTP (relational) and analytical systems. It is crucial that you possess a solid understanding of data modeling principles, standard methodologies, semantic data modeling concepts, and multi-Fact models. You must be capable of defining data modeling standards, guidelines, and assisting teams in implementing complex data-driven solutions at a large scale globally. Your experience should also include supporting history handling, time series data warehousing, and data transformations through data modeling activities. Additionally, you should have the ability to quickly comprehend technological and business concepts, key domain entities, and communicate effectively with engineers, architects, and product management teams. Your role will involve assessing the accuracy, completeness, and consistency of data models while ensuring the maintenance of relevant documentation. Experience with data cataloging tools like Alation and Collibra to drive data lineage is preferred. A strong understanding of data governance processes and metadata repositories is also expected. You should be comfortable working in a fast-paced environment with short release cycles and an iterative development methodology, handling multiple projects simultaneously with minimal specifications. Having knowledge of Python and experience with Informatica would be considered advantageous for this position. Your excellent communication and documentation skills will be essential in this role.,

Your Role Architect, design, and implement data collection strategies across various channels (web, mobile, offline, etc.) using Tealium iQ Tag Management. Develop and maintain Tealium AudienceStream segments and triggers for customer segmentation and activation. Integrate Tealium CDP with other marketing technology platforms (e.g., CRM, DMP, email marketing platforms, ad servers). Develop and maintain custom JavaScript for data collection and enrichment. Your Profile Hands-on experience with Tealium iQ Tag Management and AudienceStream. Strong understanding of data collection methodologies, data warehousing, and data integration principles. Experience with JavaScript, HTML, and CSS. Experience with API integrations and data exchange formats (e.g., JSON, XML). Strong analytical and problem-solving skills. Excellent communication, interpersonal, and collaboration skills. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

You are Kenvue, a company dedicated to the power of everyday care and rooted in a rich heritage and scientific expertise. With iconic brands like NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSONS, and BAND-AID, you are committed to delivering the best products to customers globally. As a Kenvuer, you are part of a diverse team of 22,000 individuals focused on insights, innovation, and making a positive impact on millions of lives daily. As a Senior Data Modeler at Kenvue Data Platforms, based in Bengaluru, you will collaborate with various teams including Business partners, Product Owners, Data Strategy, Data Platform, Data Science, and Machine Learning (MLOps) to drive innovative data products for end users. Your role involves developing solution architectures, defining data models, and ensuring the acquisition, ingestion processes, and reporting requirements are met efficiently. Key Responsibilities: - Provide expertise in data architecture and modeling to build next-generation product capabilities that drive business growth. - Collaborate with Business Analytics leaders to translate business needs into optimal architecture designs. - Design scalable and reusable data models adhering to FAIR principles for different functional areas. - Work closely with data engineers, solution architects, and stakeholders to optimize data models. - Create and maintain Metadata Rules, Data Dictionaries, and lineage details for data models. Qualifications: - Undergraduate degree in Technology, Computer Science, or related fields; advanced degree preferred. - Strong interpersonal and communication skills to effectively collaborate with various stakeholders. - 3+ years of experience in data architecture & modeling in Consumer/Healthcare Goods companies. - 5+ years of progressive experience in Data & Analytics initiatives. - Hands-on experience in Cloud Architecture (Azure, GCP, AWS) and cloud-based databases. - Expertise in SQL, Erwin / ER Studio, data modeling techniques, and methodologies. - Familiarity with noSQL, graphDB databases, and data catalogs. - Experience in Agile methodology (Scrum/Kanban) within DevSecOps model. - Proven track record of contributing to high-profile projects with changing requirements. Join Kenvue in shaping the future and making a difference in the world of data and analytics. Proud to be an equal opportunity employer, Kenvue values diversity and inclusion in its workforce. Location: Bangalore, India Job Function: Digital Product Development,

As a Data Modeler, you will be responsible for developing and maintaining conceptual, logical, and physical data models along with their corresponding metadata. Your role will involve performing data mapping based on data source schemas and reverse engineering existing transformations from multiple source database systems on a cloud data platform to align with corporate standards. Additionally, you will conduct data analysis, capture data requirements, and collaborate with squad members and product owners to implement data strategies effectively. One of your key responsibilities will be to validate logical data models with business subject matter experts and work closely with the development team to ensure that all requirements are captured and reflected in the data model. You will also collaborate with the DBA team to design physical models that optimize performance. Active participation in metadata definition and management will be essential in this role. To excel in this position, you should be proficient in data modeling techniques using tools such as Erwin, ER/Studio, and Power Designer. A willingness to learn and strong communication skills are also important attributes for success in this role. If you have 6 to 9 years of experience, you can expect a salary of 18 L, while candidates with 9 to 12 years of experience can anticipate a salary of 24 L. This is an excellent opportunity to leverage your skills and expertise as a Data Modeler to contribute to the success of the organization.,

About The Role : As a Senior Data Architect, you will be instrumental in shaping the banks enterprise data landscapesupporting teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. You will also serve as the go-to expert and trusted advisor on what good looks like in data architecture, helping to set high standards and drive continuous improvement across the organization. This role is ideal for an experienced data professional with deep technical expertise, strong solution architecture skills, and a proven ability to influence design decisions across both business and technology teams. Responsibilities 1. Enterprise Data Architecture & Solution Design Support teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. Serve as the go-to person for data architecture best practices and standards, helping to define and communicate what good looks like to ensure consistency and quality. Lead and contribute to solution architecture for key programs, ensuring architectural decisions are well-documented, justified, and aligned to enterprise principles. Work with engineering and platform teams to design end-to-end data flows, integration patterns, data processing pipelines, and storage strategies across structured and unstructured data. Drive the application of modern data architecture principles including event-driven architecture, data mesh, streaming, and decoupled data services. 2. Data Modelling and Semantics Provide hands-on leadership in data modelling efforts, including the occasional creation and stewardship of conceptual, logical, and physical models that support enterprise data domains. Partner with product and engineering teams to ensure data models are fit-for-purpose, extensible, and aligned with enterprise vocabularies and semantics. Support modelling use cases across regulatory, operational, and analytical data assets. 3. Architecture Standards & Frameworks Define and continuously improve data architecture standards, patterns, and reference architectures that support consistency and interoperability across platforms. Embed standards into engineering workflows and tooling to encourage automation and reduce delivery friction. Measure and report on adoption of architectural principles using architecture KPIs and compliance metrics. 4. Leadership, Collaboration & Strategy Act as a technical advisor and architectural leader across initiatives mentoring junior architects and supporting federated architecture teams in delivery. Build strong partnerships with senior stakeholders across the business, CDIO, engineering, and infrastructure teams to ensure alignment and adoption of architecture strategy. Stay current with industry trends, regulatory changes, and emerging technologies, advising on their potential impact and application. Skills Extensive experience in data architecture, data engineering, or enterprise architecture, preferably within a global financial institution. Deep understanding of data platforms, integration technologies, and architectural patterns for real-time and batch processing. Proficiency with data architecture tools such as Sparx Enterprise Architect, ERwin, or similar. Experience designing solutions in cloud and hybrid environments (e.g. GCP, AWS, or Azure), with knowledge of associated data services. Hands-on experience with data modelling, semantic layer design, and metadata-driven architecture approaches. Strong grasp of data governance, privacy, security, and regulatory complianceespecially as they intersect with architectural decision-making. Strategic mindset, with the ability to connect architectural goals to business value, and communicate effectively with technical and non-technical stakeholders. Experience working across business domains including Risk, Finance, Treasury, or Front Office functions. Well-being & Benefits Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness. A professional, passionate, and fun workplace with flexible Work from Home options. A modern office with fun and relaxing areas to boost creativity. Continuous learning culture with coaching and support from team experts. Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive Private healthcare and life insurance with premium benefits for you and discounts for your loved ones. Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing. Kids@TheOffice - support for unexpected events requiring you to care for your kids during work hours. Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more. Financially secure: we support you to meet personal financial goals during your active career and for the future Competitive income, performance-based promotions, and a sense of purpose. 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays). We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will be responsible for understanding business requirements, data mappings, create and maintain data models through different stages using data modeling tools and handing over the physical design/DDL scripts to the data engineers for implementations of the data models. Your role involves creating and maintaining data models, ensuring performance and quality or deliverables.Experience- Overall IT experience (No of years) - 7+- Data Modeling Experience - 3+Key Responsibilities:- Drive discussions with clients teams to understand business requirements, develop Data Models that fits in the requirements- Drive Discovery activities and design workshops with client and support design discussions- Create Data Modeling deliverables and getting sign-off - Develop the solution blueprint and scoping, do estimation for delivery project. Technical Experience:Must Have Skills: - 7+ year overall IT experience with 3+ years in Data Modeling- Data modeling experience in Dimensional Modeling/3-NF modeling/No-SQL DB modeling- Should have experience on at least one Cloud DB Design work- Conversant with Modern Data Platform- Work Experience on data transformation and analytic projects, Understanding of DWH.- Instrumental in DB design through all stages of Data Modeling- Experience in at least one leading Data Modeling Tools e.g. Erwin, ER Studio or equivalentGood to Have Skills: - Any of these add-on skills - Data Vault Modeling, Graph Database Modelling, RDF, Document DB Modeling, Ontology, Semantic Data Modeling- Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge.- Cloud Data Engineering, Cloud Data Integration- Must be familiar with Data Architecture Principles.Professional Experience:- Strong requirement analysis and technical solutioning skill in Data and Analytics - Excellent writing, communication and presentation skills.- Eagerness to learn new skills and develop self on an ongoing basis.- Good client facing and interpersonal skills Educational Qualification:- B.E. or B.Tech. must Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives.Experience:- Overall IT experience (No of years) - 7+- Data Modeling Experience - 3+- Data Vault Modeling Experience - 2+ Key Responsibilities:- Drive discussions with clients deal teams to understand business requirements, how Data Model fits in implementation and solutioning- Develop the solution blueprint and scoping, estimation in delivery project and solutioning- Drive Discovery activities and design workshops with client and lead strategic road mapping and operating model design discussions- Design and develop Data Vault 2.0-compliant models, including Hubs, Links, and Satellites.- Design and develop Raw Data Vault and Business Data Vault.- Translate business requirements into conceptual, logical, and physical data models.- Work with source system analysts to understand data structures and lineage.- Ensure conformance to data modeling standards and best practices.- Collaborate with ETL/ELT developers to implement data models in a modern data warehouse environment (e.g., Snowflake, Databricks, Redshift, BigQuery).- Document models, data definitions, and metadata. Technical Experience:Good to have Skills: - 7+ year overall IT experience, 3+ years in Data Modeling and 2+ years in Data Vault Modeling- Design and development of Raw Data Vault and Business Data Vault.- Strong understanding of Data Vault 2.0 methodology, including business keys, record tracking, and historical tracking.- Data modeling experience in Dimensional Modeling/3-NF modeling- Hands-on experience with any data modeling tools (e.g., ER/Studio, ERwin, or similar).- Solid understanding of ETL/ELT processes, data integration, and warehousing concepts.- Experience with any modern cloud data platforms (e.g., Snowflake, Databricks, Azure Synapse, AWS Redshift, or Google BigQuery).- Excellent SQL skills. Good to Have Skills: - Any one of these add-on skills - Graph Database Modelling, RDF, Document DB Modeling, Ontology, Semantic Data Modeling- Hands-on experience in any Data Vault automation tool (e.g., VaultSpeed, WhereScape, biGENIUS-X, dbt, or similar).- Preferred understanding of Data Analytics on Cloud landscape and Data Lake design knowledge.- Cloud Data Engineering, Cloud Data Integration Professional Experience:- Strong requirement analysis and technical solutioning skill in Data and Analytics - Excellent writing, communication and presentation skills.- Eagerness to learn new skills and develop self on an ongoing basis.- Good client facing and interpersonal skills Educational Qualification:- B.E or B.Tech must Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : MongoDB Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various stakeholders to gather requirements and translate them into effective data solutions, while also addressing any challenges that arise during the development process. Your role will be pivotal in ensuring that the data architecture is robust, scalable, and efficient, contributing to the overall success of the application and the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze data requirements.- Design and implement data models that support business processes and analytics. Professional & Technical Skills: - Must To Have Skills: Proficiency in MongoDB.- Strong understanding of data modeling concepts and best practices.- Experience with data integration tools and techniques.- Familiarity with cloud-based data storage solutions.- Knowledge of data governance and data quality principles. Additional Information:- The candidate should have minimum 3 years of experience in MongoDB.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

The role requires you to lead the design and development of Global Supply Chain Analytics applications and provide support for applications from other domains using supply chain data. You will be responsible for hands-on management of applications in Supply Chain Analytics and wider Operations domain. As a senior specialist in Supply Chain Data & Analytics, you will drive the deliverables for important digital initiatives contributing towards strategic priorities. Your role will involve leading multiple projects and digital products, collaborating with team members both internally and externally, and interacting with global Business and IT stakeholders to ensure successful solution delivery with standard designs in line with industry best practices. Your responsibilities will include designing and managing the development of modular, reusable, elegantly designed, and maintainable software solutions that support the Supply Chain organization and other Cross Functional strategic initiatives. You will participate in fit-gap workshops with business stakeholders, provide effort estimates and solutions proposals, and develop and maintain code repositories while responding rapidly to bug reports or security vulnerability issues. Collaboration with colleagues across various departments such as Security, Compliance, Engineering, Project Management, and Product Management will be essential. You will also drive data enablement and build digital products, delivering solutions aligned with business prioritizations and in coordination with technology architects. Contributing towards AI/ML initiatives, data quality improvement, business process simplification, and other strategic pillars will be part of your role. Ensuring that delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook will be crucial. You will also be responsible for aligning designed solutions with Data and Analytics strategy standards and roadmap, as well as providing status reporting to product owners and IT management. To be successful in this role, you should have a minimum of 8 years of data & analytics experience in a professional environment, with expertise in building applications across platforms. Additionally, you should have experience in delivery management, customer-facing IT roles, Machine Learning, SAP BW on HANA and/or S/4 HANA, and cloud platforms. Strong data engineering fundamentals in data management, data analysis, and back-end system design are required, along with hands-on exposure in Data & Analytics solutions, including predictive and prescriptive analytics. Key skills for this role include collecting and interpreting requirements, understanding Supply Chain business processes and KPIs, domain expertise in Pharma industry and/or Healthcare, excellent communication and problem-solving skills, knowledge in Machine Learning and analytical tools, familiarity with Agile and Waterfall delivery concepts, proficiency in using various tools such as Jira, Confluence, GitHub, and SAP Solution Manager, and hands-on experience in technologies like AWS Services, Python, Power BI, SAP Analytics, and more. Additionally, the ability to learn new technologies and functional topics quickly is essential. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities it serves. If you are passionate about making a difference in the lives of others and are ready to collaborate, support, and inspire breakthroughs, this role offers an opportunity to create a brighter future together.,

Hi Candidates, we have job openings in one of our MNC Company Interested candidates can apply here and share details to chandrakala.c@i-q.co Note: NP-0-15 days only serving Role & responsibilities We are looking for Data Managers Work Exp: Min 5 yrs. (mandatory) Location: Remote (India) JD: The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. The successful candidate will: - Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). - Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. 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, and machine learning). - 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. Skills - Bachelors or masters degree in computer/data science technical or related experience. - 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). - Experience with data warehouse, data lake, and enterprise big data platforms in multi-datacenter contexts required. -Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. - Experience in team management, communication, and presentation. Preferred candidate profile

Roles and Responsibilities : Design and develop data models using Erwin tools to meet business requirements. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Develop dimensional models for large-scale databases, ensuring scalability and performance. Provide guidance on best practices for database design, normalization, and denormalization. Job Requirements : 10-20 years of experience in data modeling with expertise in Erwin tools. Strong understanding of dimensional modeling concepts and principles. Experience working on large-scale projects involving complex data transformations. Proven track record of delivering high-quality results under tight deadlines.

Role & responsibilities We are looking for a skilled Data Modeller with 5 to 8 years of hands-on experience in designing and maintaining robust data models for enterprise data solutions. The ideal candidate has a strong foundation in dimensional, relational, and semantic data modelling and is ready to expand into data engineering technologies and practices . This is a unique opportunity to influence enterprise-wide data architecture while growing your career in modern data engineering. Required Skills & Experience: 5 to 8 years of experience in data modelling with tools such as Erwin, ER/Studio, dbt, PowerDesigner , or equivalent. Strong understanding of relational databases, star/snowflake schemas, normalization, and denormalization . Experience working with SQL , stored procedures , and performance tuning of data queries. Exposure to data warehousing concepts and BI tools (e.g., Tableau, Power BI, Looker). Familiarity with data governance , metadata management , and data cataloging tools . Excellent communication and documentation skills.

Job Description Role requires him/her to design and implement data modeling solutions using relational, dimensional, and NoSQL databases. You will work closely with data architects to design bespoke databases using a mixture of conceptual, physical, and logical data models. Job title Data Modeler Hybrid role from Location: Bangalore, Chennai, Gurgaon, Pune, Kolkata Interviews: 3 rounds of 30 ~ 45 Minutes video-based Teams interviews Employment Type: Permanent Full Time with Tredence Total Experience 9~13 years Required Skills Data Modeling, Dimensional modeling, ErWIN, Data Management, RDBMS, SQL/NoSQL, ETL What we look for: BE/B.Tech or equivalent The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. 9~13 years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. 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, and machine learning). 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.

As an 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 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

As a Senior Backend /Lead Development Engineer you will be involved in developing automation solutions to provision and manage any infrastructure across your organization. Being developer you will be leveraging capabilities of Terrafrom and Cloud offering to drive infrastructure as code capabilities for the IBM z/OS platform. You will Work closely with frontend engineers as part of a full-stack team, collaborate with Product, Design, and other cross-functional partners to deliver high-quality solutions. Maintain high standards of software quality within the team by establishing good practices and habits. Focus on growing capabilities to support an enhancing the experience of the offering. Required education Bachelor's Degree Required technical and professional expertise * 15+ years of Software development experience with zOS or zOS Sub-systems. * System programmer able to work and support development/testing of IBM Z HW I/O definitions - IODF and IOCDS generation and deployment. * Familiar with HMC and HCD. * 8+ years Professional experience developing with Golang, Python and Ruby * 10+ year of hands-on experience with z/OS system programming or administration experience * Experience with Terraform key features like Infrastructure as a code, change automation, auto scaling. * Experience working with cloud provider such as AWS, Azure or GCP, with a focus on scalability, resilience and security. * Cloud-native mindset and solid understanding of DevOps principles in a cloud environment * Familiarity with cloud monitoring tools to implement robust observability practices that prioritize metrics, logging and tracing for high reliability and performance. * Extensive experience with cloud computing platforms (AWS, Azure, GCP) and infrastructure as code (Terraform). * Strong interest in customer-focused work, with experience collaborating with Design and Product Management functions to deliver impactful solutions. * Demonstrated ability to tackle complex technical challenges and deliver innovative solutions. * Excellent communication and collaboration skills, with a focus on customer satisfaction and team success. * Strong analytical, debugging and problem solving skills to analyze issues and defects reported by customer-facing and test teams. * Proficient in source control management tools (GitHub, ) and with Agile Life Cycle Management tools. * Soft Skills: Strong communication, collaboration, self-organization, self-study, and the ability to accept and respond constructively to critical feedback.

HashiCorp, and IBM Company (HashiCorp) solves development, operations, and security challenges in infrastructure so organizations can focus on business-critical tasks. We build products to give organizations a consistent way to manage their move to cloud-based IT infrastructures for running their applications. Our products enable companies large and small to mix and match AWS, Microsoft Azure, Google Cloud, and other clouds as well as on-premises environments, easing their ability to deliver new applications. At HashiCorp, we have used the Tao of HashiCorp as our guiding principles for product development and operate according to a strong set of company principles for how we interact with each other. We value top-notch collaboration and communication skills, both among internal teams and in how we interact with our users. The Role As a Frontend Engineer II on the Boundary Transparent Session team at HashiCorp, you will be instrumental in expanding enterprise functionality that allows a VPN-like passive connection experience for customers. This role plays a critical part in ensuring the Boundary Desktop Client supports daily customer workflows in a performant, scalable way. You will be part of a full-stack team including backend and mobile engineers, and collaborate cross-functionally with Product, Design, and other partners. Key Responsibilities Develop and enhance frontend features that provide a VPN-like passive connection experience for customers. Ensure the Boundary Desktop Client supports daily customer workflows in a performant and scalable manner. Work closely with backend and mobile engineers as part of a full-stack team, and collaborate with Product, Design, and other cross-functional partners to deliver high-quality solutions. Maintain high standards of software quality within the team by establishing good practices and habits. Focus on growing capabilities to support an enhanced user experience Required education Bachelor's Degree Required technical and professional expertise 4+ years of software engineering experience with a proven track record of technical or engineering lead roles. Experience with diverse technology stacks and project types is preferred. Proficiency in JavaScript is necessary. Experience with the Ember framework is preferred, or a strong interest and ability to get up to speed with it. Extensive experience with cloud computing platforms (AWS, Azure, GCP) and infrastructure as code (Terraform). Strong interest in customer-focused work, with experience collaborating with Design and Product Management functions to deliver impactful solutions. Demonstrated ability to tackle complex technical challenges and deliver innovative solutions. Preferred technical and professional experience Excellent communication and collaboration skills, with a focus on customer satisfaction and team success. Proven ability to lead by example, mentor junior engineers, and contribute to a positive team culture. Commitment to developing well-tested solutions to ensure high reliability and performance.

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication skills.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Good knowledge and expertise on data structures and algorithms and calculus, linear algebra, machine learning, and modeling. Experience in data warehousing concepts including Star schema, snowflake, or data vault for data mart or data warehousing. Experience using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models. Knowledge of enterprise databases such as DB2/Oracle/PostgreSQL/MYSQL/SQL Server. Hands-on knowledge and experience with tools and techniques for analysis, data manipulation, and presentation (e.g. PL/SQL, PySpark, Hive, Impala, and other scripting tools). Experience with Software Development Lifecycle using the Agile methodology. Knowledge of agile methods (SAFe, Scrum, Kanban) and tools (Jira or Confluence). Expertise in conceptual modeling; ability to see the big picture and envision possible solutions. Experience in working in a challenging, fast-paced environment. Excellent communication & stakeholder management skills. Experience in data warehousing concepts including Star schema, snowflake, or data vault for data mart or data warehousing. Experience using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models. Experience in working in a challenging, fast-paced environment. Excellent communication & stakeholder management skills. You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We're committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

Project description We are seeking a highly skilled Data Modelling Expert with deep experience in the Avaloq Core Banking platform to join our technology team. The ideal candidate will be responsible for designing, maintaining, and optimizing complex data models that support our banking products, client data, and regulatory reporting needs. This role requires a blend of domain expertise in banking and wealth management, strong data architecture capabilities, and hands-on experience working with the Avaloq platform. Responsibilities 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 Avaloq's 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.

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : Snowflake Data Warehouse, Oracle Procedural Language Extensions to SQL (PLSQL)Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Modeler, you will engage with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your typical day will involve collaborating with various stakeholders to understand their data needs, analyzing existing data structures, and designing effective data models that support business objectives. You will also be responsible for ensuring that the data models align with best practices and methodologies, facilitating discussions to gather requirements, and providing insights that drive data-driven decision-making across the organization. Your role will be pivotal in bridging the gap between technical and non-technical teams, ensuring that data is accurately represented and utilized effectively within the organization. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation of data models and architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with Data Architecture Principles, Snowflake Data Warehouse, Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of relational and dimensional data modeling.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality principles. Additional Information:- The candidate should have minimum 12 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education