81 Er Studio Jobs

Kenvue is currently recruiting for: Data Modeler/Staff Data Engineer This position reports into Sr Manager / Director and is based at Bengaluru. What You Will Do The Data Modeler is responsible to work closely with the Product Management group, internal stakeholders and the Engineering group:• Data Modelling: Creating data architectures and logical/physical data models for databases and data warehouses• Forge trusted partnerships and be an integral part of Data Engineering, Data Architecture & Platforms and Data Science teams to adopt, scale and build data products •Data Warehouse Development & Administration: Designing, developing, implementing a data warehouse to integrate data from various sources/systems within an organization •Developing strategies for data acquisition, archive recovery, and database implementation •Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technology• Drive prioritization and implementation of most appropriate combination of data engineering methodologies & frameworks to ensure optimal scalability, flexibility and performance of platforms, products & solutions• Be an expert and a thought leader of how data and technology come together to empower the business •Conducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics Key Responsibilities Perform enterprise level and project level data modelling, including model management, consolidation and integration Understand business requirements and translate to Conceptual (CDM), Logical (LDM) and Physical (PDM) data model by using industry standards Managing Data Model for multiple projects and make sure data model in all projects are synchronized and adhering to Enterprise Architecture with proper change management Establish and manage existing standards for naming and abbreviation conventions, data definitions, ownership, documentation, procedures, and techniques Adopt, support, and participate in the implementation of the Enterprise Data Management Strategy Experience in Medallion (Lakehouse) Architecture. Ensure reusability of model and approach in across different business requirements Support data specific system integration and support data migration What We Are Looking For Required Qualifications Typically requires a minimum of 12 years of related experiences with a Bachelor's degree in Computer or Software Engineering; or 10 years and a Master degree in Computer or Software Engineering; Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture. Superb interpersonal & communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists. 3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry 5-8 years of progressive experience with Data Modeling Minimum of 3 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake, Redshift) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python. Should have experience in ER Studio/Erwin data Modeler, Power BI/ Tableau or Microstrategy or equivalent tool. Should be strong in Data warehousing concepts Should have strong database development skills like complex SQL queries, complex store procedures Desired Qualifications Conversant with Data & Analytics product management, Azure, SQL, Data Catalogue Experience with unstructured data processing and real-time data pipelines Preferably from Retail or CPG industry Whats In It For You Competitive Benefit Package Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays & More! Learning & Development Opportunities Employee Resource Groups Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Mandatory Skills and Qualifications Proven experience as a Data Modeler or in a similar role. • Strong understanding of data modeling principles and methodologies. • Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, MySQL). • Familiarity with data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner). • Experience with NoSQL databases (e.g., MongoDB, Cassandra) and their data modeling techniques. • Excellent analytical and problem-solving skills. • Strong communication and collaboration skills.

Job Title: Techno-Functional Consultant / Data Modeler BI Location: Titan Corporate limited Experience: 4+ years Job Description We are looking for a Techno-Functional Consultant / Data Modeler BI to design and build scalable data models, manage enterprise-wide data layers, and deliver high-performance Data Marts. The role involves working with large-scale business data, cross-functional teams, and modern BI/ETL tools to enable data-driven decision-making across Titan businesses. Key Responsibilities Architect layered data models (LSA / Medallion) ensuring scalability, quality & performance. Design, optimize, and maintain data dictionaries, glossaries, and ERDs. Translate business requirements into technical specifications, KPIs & metrics. Lead and manage data projects in an Agile framework. Collaborate with BI consultants, analysts, IT, and governance teams. Define testing strategy, ensure data quality & integrity. Enable self-service BI and reduce dashboard/report development timelines. Required Skills & Experience 4+ years experience in Data Modeling, BI & Data Warehousing. Strong knowledge of SQL (Advanced queries, stored procedures, tuning), RDBMS. Hands-on experience with ETL tools (SAP Data Services / IBM DataStage / AWS Glue). Expertise in ER Modeling (Conceptual, Logical, Physical) using tools like ERWin/ER Studio. Experience with Reporting Tools : Tableau / Power BI / AWS Quicksight. Domain expertise in Retail / Manufacturing / HR / Finance. Exposure to Salesforce Customer Data Cloud (preferred). Good to have: Predictive / Statistical Data Modelling. Education Post-Graduation / Engineering Interested candidates kindly share your details on amruthaj@titan.co.in

Are you ready to make a difference in Data Space? Looking for immediate joiners - only candidates available to join in September 2025 are eligible to apply. Job Title: Data Modeller & Architect Location: Bengaluru, Chennai, Hyderabad What do we expect? 6-12 years of experience in Data Modelling. Decent SQL knowledge Able to suggest modeling approaches for a given problem. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables. Experience in contributing to proposals and RFPs Good experience in stakeholder management Decent communication and experience in leading the team Contact Amirtha (HR - Aram Hiring) - WhatsApp your resume to 8122080023 / amirtha@aramhiring.com Who is our client: Our Client is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. They offer full stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. They are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Their purpose is to provide certainty to shape a better tomorrow.Our client operates with 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of their team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. Our client have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. Curious about the role? What your typical day would look like? As an Engineer and Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights.On a typical day, you might Engage the clients & understand the business requirements to translate those into data models. Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions. Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. Use the Data Modelling tool to create appropriate data models Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. Gather and publish Data Dictionaries. Ideate, design, and guide the teams in building automations and accelerators Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. Use version control to maintain versions of data models. Collaborate with Data Engineers to design and develop data extraction and integration code modules. Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing. Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders. Work with the client to define, establish and implement the right modelling approach as per the requirement Help define the standards and best practices Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc. Coach team members, and review code artifacts. Contribute to proposals and RFPs External Skills And Expertise You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Kindly share your resume to amirtha@aramhiring.com / 8122080023

Role - Data Architect - Data Modeling Exp - 12-16 Yrs Locs - Chennai, Hyderabad, Bengaluru, Delhi, Pune Position - Permanent FTE Client - Data Analytics Global Leader Must have skills: - Strong SQL - Strong Data Warehousing skills - ER/Relational/Dimensional Data Modeling - Data Vault Modeling - OLAP, OLTP - Schemas & Data Marts Good to have skills: - Data Vault - ERwin / ER Studio - Cloud Platforms (AWS or Azure)

Role - Data Modeler/Senior Data Modeler Exp - 6 to 9 Yrs Locs - Chennai, Hyderabad, Bengaluru, Delhi, Pune Position - Permanent Must have skills: - Strong SQL - Strong Data Warehousing skills - ER/Relational/Dimensional Data Modeling - Data Vault Modeling - OLAP, OLTP - Schemas & Data Marts Good to have skills: - Data Vault - ERwin / ER Studio - Cloud Platforms (AWS or Azure)

As a Solution Architect for Data Modelling at Tredence, you will be responsible for understanding Enterprise datasets in various domains such as Sales, Procurement, Finance, Supply Chain, Logistics, R&D, and Advanced Planning systems (SAP/Oracle etc). With a minimum of 5 years of experience in Data projects including Upgradation, Migration, Building Data lake foundation, and Maintenance, you will collaborate closely with product/business teams to comprehend related business processes, document business requirements, and formulate high-level specifications/requirements for Data Engineers. Your role will involve developing logical/physical data models aligned with Medallion architecture/EDW/Kimball model. You will scout for the right grain of data in True source systems or Data Warehouses, construct reusable data models in intermediary layers, and ultimately create physical consumable views from data marts. In addition, you should have a good understanding of Cloud architecture, solution components in the Cloud, DevOps, and DataOps. Proficiency in Data Governance, Data Quality frameworks, and Data Observability is essential. You should be familiar with DevOps processes, experienced in checking existing tables, data dictionaries, and table structures, and possess knowledge of normalizing tables. Understanding of Landing, Bronze, Silver, and Gold layers and Agile techniques will be beneficial for this role. Key Skills required for this position include proficiency in ERWIN, ER Studio, OLAP/OLTP Services. About Tredence: Welcome to Tredence! Founded in 2013, we are committed to turning data into actionable insights, enabling over 50 Fortune 500 clients to succeed in their respective industries. Headquartered in San Jose with a presence in 5 countries, our mission is to be the world's most indispensable analytics partner. At Tredence, we combine deep domain expertise with advanced AI and data science to deliver unparalleled business value. We are thrilled to have you be a part of our innovative journey.,

Role : Data Modeller Experience: 5-12 Years Location: Gurugram/Bangalore Notice Period: Immediate to 45 Days Your scope of work / key responsibilities: Build and maintain out of standards data models to report disparate data sets in a reliable, consistent and interpretable manner. Gather, distil, and harmonize data requirements and to design coherent Conceptual, logical and physical data models and associated physical feed formats to support these data flows. Articulate business requirements and build source-to-target mappings having complex ETL transformation. Write complex SQL statements and profile source data to validate data transformations. Contribute to requirement analysis and database design - Transactional and Dimensional data modelling. Normalize/ De-normalize data structures, introduce hierarchies and inheritance wherever required in existing/ new data models. Develop and implement data warehouse projects independently. Work with data consumers and data suppliers to understand detailed requirements, and to propose standardized data models. Contribute to improving the Data Management data models. Be an influencer to present and facilitate discussions to understand business requirements and develop dimension data models based on these capabilities and industry best practices. Understanding of Insurance Domain Basic understanding of AWS cloud Good understanding of Master Data Management, Data Quality and Data Governance. Basic understanding of data visualization tools like SAS VA, Tableau Good understanding of implementing & architecting data solutions using the informatica, SQL server/Oracle Key Qualifications and experience: Extensive practical experience in Information Technology and software development projects of with at least 8+ years of experience in designing Operational data store & data warehouse. Extensive experience in any of Data Modelling tools Erwin/ SAP power designer etc. Strong understanding of ETL and data warehouse concepts processes and best practices. Proficient in Data Modelling including conceptual, logical, and physical data modelling for both OLTP and OLAP. Ability to write complex SQL for data transformations and data profiling in source and target systems Basic understanding of SQL vs NoSQL databases. Possess a combination of solid business knowledge and technical expertise with strong communication skills. Demonstrate excellent analytical and logical thinking. Good verbal & written communication skills and Ability to work independently as well as in a team environment providing structure in ambiguous situation. Interested candidates can share their resume at divya@beanhr.com

About The Role 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 : NA Minimum 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

Data Modeller Permanent Chennai / Bangalore / Pune / Hyderabad / Delhi NCR Preferred candidate profile 7- 15+ years of experience in Data Modeling. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) Required Skills: Strong experience in SQL (tables, Attributes, joins, queries), Strong DWH Skills, Rational/Dimensional/ER Modeling, Data Valut modeling, OLAP/OLTP, Facts and Dimensions, Normalisation (3nf), Data marts, Schemas, Keys, Dimension types, M:M relationship & Forward /Reverse Engineering etc. Good to Have: Data valut, Tool experience (Erwin, ER Studio, Visio, Power Designer) & Cloud etc. If Interested, kindly share me your updated profile along with below details. Full Name: Contact #: Email ID: Total experience: Key skills: Current Location: Relocation: Current Employer: CTC (Including Variable): ECTC: Notice Period: Holding any offer:

Seeking a Database Developer (10+ yrs exp) with strong OLTP development & data modeling (conceptual, logical, physical). Expertise in Oracle, PostgreSQL, ERWin, SQL optimization, RDS,performance tuning, schema objects & procedures. Required Candidate profile Preferred: AWS, DBA basics, DWH/BI, Snowflake, logistics domain.

Role & responsibilities Were looking for candidates with strong technology and data understanding in data modelling space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team Your key responsibilities Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data Define and employ data modeling and design standards, tools, best practices, and related development methodologies. Designs, reviews and maintains data models Performs the data analysis activities to capture data requirements and represent them in data models visualization Manages the life cycle of the data model from requirements to design to implementation to maintenance Work closely with the data engineers to create optimal physical data models of datasets. Identify areas where data can be used to improve business activities Skills and attributes for success Experience 3 - 7 Data modelling (relevant Knowledge) 3 years and above Experience in data modeling data tools including but not limited to Erwin Data Modeler, ER studio, Toad etc Strong knowledge in SQL Basic ETL skills to ensure implementation meets the documented specifications for ETL processes including data translation/mapping and transformation Good Datawarehouse knowledge Optional Visualisation skills Knowledge in DQ and data profiling techniques and tools Interested candidate can apply on the below link - https://careers.ey.com/job-invite/1611905/ Regards Aakriti Jain

You will be responsible for designing and implementing various data models, including OLAP, OLTP, dimensional, relational, and data vault models. Your role will involve creating robust data architectures to support business intelligence, data warehousing, and database management solutions. As a Data Modeler, you should have strong experience in data modeling and a solid understanding of OLAP, OLTP, dimensional, relational, and data vault models. Proficiency in data modeling tools such as Erwin, ER Studio, Toad, SQL DBM, and Oracle DBM is essential for this role. Familiarity with SDE (Software Development Environment) is preferred. If you have a passion for data modeling and possess the required expertise in designing and implementing various data models, we encourage you to apply for this position.,

Job Title: Data Modeler (ER Studio Specialist) Location: Remote Work Time: US EST Hours Duration: Contract Key Responsibilities Seeking a skilled near shore data modeler with over five years of experience in data modeling and a minimum of three years of proficiency using ER Studio. The ideal candidate will possess a deep understanding of data architecture, database design, and conceptual, logical, and physical data models. They should demonstrate expertise in ER Studio, including its advanced features, best practices, and macros. The candidate will be responsible for developing and maintaining data models to support business requirements, ensuring data quality, and collaborating with cross-functional teams to align data architecture with organizational goals. Strong analytical, problem-solving, and communication skills are essential for this role. Preferred Skills 3 years Exp ER Studio HR Data and Legacy application -EPM they need to rework 5 years Exp data modeling as senior (Not lead but kind of Mentor) SQL & Data bricks Thanks & Regards: Kanika Katiyar Associate Recruiter Email: kkatiyar@fcsltd.com FCS Software Solutions Limited https://www.fcsltd.com

8 -10 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 of 2 to 3 years doing data analysis and data testing Good working knowledge of SQL Good data analysis skills to query, map and document source to target mappings, understand data schemas and modeling Good communication and documentation skills

Role & responsibilities Working closely with the data analyst and data platform teams to Analyze and evaluate existing data systems and continuously updating and optimizing data models. Working closely with Business and Analytics team to understand business needs and translate them into long-term solution data models. Working with the data ingestion teams from different business areas to understand the data availability and format and to create conceptual data models and data flows. Jointly accountable, together with Platform and Development teams, for the performance of the reporting solutions produced. Developing best practices for data coding naming conventions, default values, semantics, data dictionary, etc. to ensure consistency within the system and act as an educator and ambassador for best practices when it comes to the data modelling. Reviewing modifications of existing systems for cross-compatibility. Implementing data strategies and developing physical data models. Preferred candidate profile Bachelors degree in computer science, information technology, or a similar field. Eight years hands-on experience with physical and relational data modelling, with overall 4+ years of industry experience. Expert knowledge of metadata management and related tools. Knowledge of mathematical foundations and statistical analysis. Strong interpersonal skills. Excellent communication and presentation skills. Advanced troubleshooting skills

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role As a Data Modeler , you will play a critical role in designing and implementing robust data models that support enterprise data warehousing and analytics initiatives. You will Apply your strong foundation in data structures, algorithms, calculus, linear algebra, and machine learning to design scalable and efficient data models. Leverage your expertise in data warehousing concepts such as Star Schema, Snowflake Schema, and Data Vault to architect and optimize data marts and enterprise data warehouses. Utilize industry-standard data modeling tools like Erwin, ER/Studio, and MySQL Workbench to create and maintain logical and physical data models. Thrive in a fast-paced, dynamic environment, collaborating with cross-functional teams to deliver high-quality data solutions under tight deadlines. Demonstrate strong conceptual modeling skills, with the ability to see the big picture and design solutions that align with business goals. Exhibit excellent communication and stakeholder management skills, effectively translating complex technical concepts into clear, actionable insights for both technical and non-technical audiences. Your Profile 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. Experience in working in a challenging , fast-paced environment Expertise in conceptual modelling; ability to see the big picture and envision possible solutions Excellent communication & stakeholder management skills. Experience in working in a challenging, fast-paced environment Excellent communication & stakeholder management 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 the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.

About the Opportunity Job Type: PermanentApplication Deadline: 30 September 2025 Title : Technical Specialist - Data Modelling Department: Enterprise Data & Analytics Location: Bangalore Reports To: Project Manager Grade/Level : 4 Working Shift : UK Hours (12-21 Hrs IST) Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Enterprise Data & Analytics team and feel like youre part of something bigger. About your team The Enterprise Data & Analytics team will be responsible for enhancing data governance and maturity by capturing critical data elements and metadata, defining data quality rules, and developing data models. This teams capabilities will encompass Data Management, Data Governance, Data Quality, Data Architecture, and Reporting. Additionally, the team will ensure the adoption of appropriate tools, enforce standards, and deliver foundational capabilities. About your role This role engages across business and technology teams for alignment on the data modelling standard and practices. The role is expected to communicate/collaborate with senior level employees as well as technical product & service owners and be able to work across all levels of the FIL enterprise. This function will be responsible for understanding business, data & technology services with a view to create a strategic approach to data modelling and its adoption. About you Key Responsibilities: Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes. To develop, maintain and promote the Enterprise Data Modelling Standards & Procedures To maintain the Enterprise Data Model Repository, in partnership with the business unit lead data modellers To develop and maintain the Enterprise Data Modelling Operating Model Open to work in UK Hours shift (12-21 Hrs IST) Essential Skills Strong demonstrable experience in developing and implementing data models, particularly dimensional data models and third normal form models with 8-10 years Exp. In same. Project Delivery - candidate should have experience in End-End Model design, Development and Delivery of appropriate Target Data Models on at least 2-3 different projects. Modelling Tool - Working experience on one of the Enterprise modelling tools - ER Studio, Erwin, Power Designer, EA Sparx etc. Good basic understanding of the Asset Management business (2-4 years) Clear understanding of, and the differences between, conceptual, logical and physical models The desire and ability to lead data model reviews and resolve design issues as required The desire and ability to develop and maintain Enterprise Data Modelling Standards & Procedures The desire and ability to work with business unit delivery teams to ensure Enterprise Data Modelling Standards & Procedures are followed. Should be confident & must have excellent communication skills. Excellent opportunity to work on emerging data technologies and learn with highly energised technical and engineering community, creating an environment of collaborative learning, sharing and positive challenge. Work in highly meritocratic set-up where excellence is suitably enabled, supported, and rewarded. Ability to work on mission critical, enterprise grade financial services systems which support millions of customers. Exposure to work towards our technical strategy which has taken on the challenge of relentless simplification, cloud onboarding, modern technologies and ways of working/problem solving.

Hi, Greetings from Preludesys India Pvt Ltd!! We are hiring for one of our prestigious clients for the below position!!! Job Posting: Data Modeler -SA Notice Period: Immediate - 30 Days Role Overview We are looking for an experienced Data Modeler with a strong foundation in dimensional data modeling and a proven ability to design and maintain conceptual, logical, and physical data models. The ideal candidate will have a minimum of 5+ years of experience in data modeling and architecture, preferably within the banking or financial services industry. Key Responsibilities Design, develop, and maintain dimensional data models to support analytics and reporting. Design conceptual, logical, and physical data models Utilize AWS services for scalable data model design Align data models with business rules and governance standards. Collaborate with business stakeholders, data architects, and engineers to ensure data models align with business rules and data governance standards. Translate business requirements into scalable and efficient data models. Maintain comprehensive documentation for data models, metadata, and data dictionaries. Ensure consistency and integrity of data models across systems and platforms. Partner with data engineering teams to implement models in AWS-based environments, including Redshift, Glue, and Lake Formation. Required Skills and Qualifications 5+ years of experience in data modeling, with a focus on dimensional modeling and data warehouse design. Proficiency in developing conceptual, logical, and physical data models. Strong understanding of data governance, data quality, and metadata management. Hands-on experience with AWS services such as Redshift, Glue, and Lake Formation. Familiarity with data modeling tools (e.g., ER/Studio, ERwin, or similar). Excellent communication skills and ability to work with cross-functional teams. Preferred Qualifications Experience in the banking or financial services sector. Knowledge of data lake architecture and modern data stack tools. AWS or data modeling certifications are a plus.

Curious about the role? What your typical day would look like? As a Senior Data Engineer, you will work to solve some of the organizational data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member and Data Modeling lead as demanded by each project to define, design, and deliver actionable insights. On a typical day, you might • Engage the clients & understand the business requirements to translate those into data models. • Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. • Contribute to Data Modeling accelerators • Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. • Gather and publish Data Dictionaries. • Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. • Use the Data Modelling tool to create appropriate data models. • Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. • Use version control to maintain versions of data models. • Collaborate with Data Engineers to design and develop data extraction and integration code modules. • Partner with the data engineers to strategize ingestion logic and consumption patterns. Job Requirement Expertise and Qualifications What do we expect? • 6+ years of experience in Data space. • Decent SQL skills. • Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) • Real-time experience working in OLAP & OLTP database models (Dimensional models). • Good understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. • Eye to analyze data & comfortable with following agile methodology. • Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP). You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry

Curious about the role? What your typical day would look like? As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights. On a typical day, you might • Engage the clients & understand the business requirements to translate those into data models. • Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions. • Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights. • Use the Data Modelling tool to create appropriate data models • Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc. • Gather and publish Data Dictionaries. • Ideate, design, and guide the teams in building automations and accelerators • Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information. • Contribute to building data warehouse & data marts (on Cloud) while performing data profiling and quality analysis. • Use version control to maintain versions of data models. • Collaborate with Data Engineers to design and develop data extraction and integration code modules. • Partner with the data engineers & testing practitioners to strategize ingestion logic, consumption patterns & testing. • Ideate to design & develop the next-gen data platform by collaborating with cross-functional stakeholders. • Work with the client to define, establish and implement the right modelling approach as per the requirement • Help define the standards and best practices • Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc. • Coach team members, and review code artifacts. • Contribute to proposals and RFPs Job Requirement What do we expect? • 10+ years of experience in Data space. • Decent SQL knowledge • Able to suggest modeling approaches for a given problem. • Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) • Real-time experience working in OLAP & OLTP database models (Dimensional models). • Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. • Eye to analyze data & comfortable with following agile methodology. • Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) • Enthuse to coach team members & collaborate with various stakeholders across the organization and take complete ownership of deliverables. • Experience in contributing to proposals and RFPs • Good experience in stakeholder management • Decent communication and experience in leading the team You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry .

As a Principal Data Engineer at Brillio, you will be part of a dynamic team that is at the forefront of digital technology services. Brillio is a rapidly growing company that collaborates with Fortune 1000 organizations to help them leverage digital innovation for a competitive edge. Known for our exceptional professionals, known as "Brillians," we excel in seamlessly blending cutting-edge digital and design thinking skills with a strong focus on client satisfaction. With over 10 years of IT experience, including 2+ years in Snowflake, you will play a key role in data modeling projects. Your responsibilities will include understanding Data Lake/ODS, ETL concepts, and modeling structure principles, as well as collaborating closely with clients to deliver physical and logical model solutions. You will also have the opportunity to work on Data warehousing projects, focusing on Dimensions, Facts, and Data modeling. Your excellent communication skills and leadership abilities will be essential as you engage with clients and lead teams. It would be advantageous to have exposure to AWS ecosystems. In this role, you will utilize your advanced data modeling concepts, modeling experience in large volume-based environments, and expertise with tools like ER Studio and SQLDBM. Your strong skills in Entity Relationship Modeling, Database Designing Administration, and SQL query development will be invaluable in designing and implementing efficient database solutions. You will work on Advanced Data Modeling for Star Schema design and have a deep understanding of Normalized, Denormalized, and Star Snowflake design concepts. Join Brillio, a company committed to providing a stimulating work environment that fosters innovation and professional growth. Become a part of our team of Brillians who are dedicated to delivering exceptional digital solutions and creating a lasting impact in the industry.,

You are looking for Data Modelers to join our team. The preferred location for this role is Noida, with options also available in Bangalore and Pan India. As a Data Modeler, you should have around 8+ years of experience in data modeling, data warehousing, and ETL processes. Strong knowledge of ER Studio, data visualization, and SQL-based RDBMS is essential for this role. In this position, you will be responsible for developing conceptual, logical, and physical data models for data lakes, warehouses, and analytics. You will need to effectively translate business requirements into efficient data structures and collaborate with various teams such as business, engineering, and analytics to gather requirements and ensure successful project delivery. Additionally, you will play a key role in driving data governance initiatives, conducting data quality assessments, and managing metadata. Optimizing performance through indexing, partitioning, and tuning strategies will be crucial aspects of your responsibilities. It is also important to maintain documentation including Entity-Relationship Diagrams (ERDs), data dictionaries, and flow diagrams. Ideal candidates will also have familiarity with data governance practices, and experience with cloud platforms such as AWS, Azure, or GCP would be considered a plus. Knowledge of various modeling methodologies like ER, Dimensional, and Relational models is required. Proficiency in tools like ERwin, PowerDesigner, Lucidchart, and Visio will be beneficial for this role.,

As a Principal Data Engineer at Brillio, you will play a key role in leveraging your expertise in Data Modeling, particularly with tools like ER Studio and ER Win. Brillio, known for its digital technology services and partnership with Fortune 1000 companies, is committed to transforming disruptions into competitive advantages through innovative digital solutions. With over 10 years of IT experience and at least 2 years of hands-on experience in Snowflake, you will be responsible for building and maintaining data models that support the organization's Data Lake/ODS, ETL processes, and data warehousing needs. Your ability to collaborate closely with clients to deliver physical and logical model solutions will be critical to the success of various projects. In this role, you will demonstrate your expertise in Data Modeling concepts at an advanced level, with a focus on modeling in large volume-based environments. Your experience with tools like ER Studio and your overall understanding of database technologies, data warehouses, and analytics will be essential in designing and implementing effective data models. Additionally, your strong skills in Entity Relationship Modeling, knowledge of database design and administration, and proficiency in SQL query development will enable you to contribute to the design and optimization of data structures, including Star Schema design. Your leadership abilities and excellent communication skills will be instrumental in leading teams and ensuring the successful implementation of data modeling solutions. While experience with AWS ecosystems is a plus, your dedication to staying at the forefront of technological advancements and your passion for delivering exceptional client experiences will make you a valuable addition to Brillio's team of "Brillians." Join us in our mission to create innovative digital solutions and make a difference in the world of technology.,

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.,