167 Erwin Jobs - Page 6

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. Locatoin : - Remote

Role description: Apply Arcadis Health and Safety Principles during the delivery of work Perform role in accordance with the Arcadis behavioural framework Providing input into the sector strategy/ business plans, as required, and contributing towards its achievement Communicating with team members to ensure that they understand, and become engaged with, sector/discipline business plans Proactively managing selected projects (or components of projects), taking responsibility for resource allocation, managing subcontractors, managing the production of analysis and design (including drawings and reports), ensuring the integrity of the overall design (in collaboration with other design disciplines), quality assurance and client feedback Liaising with and assisting the Project Manager to ensure commercial aspects relating to the design team(s) eg. contract, invoicing, debt, client management etc can achieve a successful result Liaising with the Project Manager or Director and the client to keep informed of all developments, changes/modifications associated with the project Identifying opportunities and driving implementation of re-engineering strategies to maximise the profitability of design components Gaining a good understanding of the background of the clients business and industry to facilitate building effective and enduring relationships and consolidating both company and personal credibility in the industry Providing leadership, direction and technical advice to project team members Taking a proactive role in developing team members to their full potential, leading by example to achieve sector/divisional goals and championing a quality, innovative and entrepreneurial culture Engaging in Continuing Professional Development (CPD) Performing other duties and responsibilities as required from time to time by your manager or Arcadis. Monitor the performance of team members identifying and ensuring the resolution of any issues Present technical solutions to the team, Task Managers and Project Managers in Arcadis regional offices Participate in interdisciplinary reviews of deliverables on behalf of engineering discipline Perform quality control review of design calculations or drawings Keep up to date with developments in the industry sector and with technical and legislative developments and seek out opportunities to develop a strong professional profile Comply with Arcadis General Business Principles and Specific Anti Corruption Standard Qualifications & Experience: Bachelors degree and/or Masters degree in Civil Engineering or equivalent Prepare, review, and update urban design plans, civil engineering works for various types of projects. More than 10+ years of experience working on Civil type projects. Strong English language with great communication skills Great interpersonal skills (team player, eager to learn, supportive attitude, etc.). Availability to work for some periods abroad if the case. Knowledgeable in Civil 3D & Navisworks 2D and/or 3D design of technical plans for residential or industrial areas. Develop and implement new digital solution on urban development projects. Gaining a good understanding of the background of the North America countries' standards regarding urban design

Role:- Data Modeler. Location : Bangalore, Pune, Gurugram. Work Mode:-Hybrid. Please Find the JD in Below Job Description: Data Modeler 6+ years of experience, with at least 3 years as a data modeler, Data Vault, data architect or similar roles Analyze and translate business needs to long term, optimized data models. Design, develop and maintain comprehensive conceptual, logical, and physical data models. Develop best practices for data standards and data architecture. Proficiency in data modelling tools such as ERwin, ER/Studio or similar Strong understanding of data warehousing, data vault concepts Proficient in data analysis and profiling on database systems (eg. SQL, Databricks) Good knowledge of data governance and data quality best practices Experience with cloud platforms (such as AWS, Azure, Google Cloud), NoSQL databases (like MongoDB) will be an added advantage. Excellent communication and interpersonal skills. No constraint on working from ODC if there is a client ask. Flexible on work timings based on engagement need. Mandatory : OLTP/OLAP concept ,Relational and Dimensional Modelling STAR/ Snowflake schema knowledge, Data Vault strong knowledge on writing SQL query and Entity Relationship concepts. Must have experience with RDBMS- like oracle, MS SQL Data Modeling (Conceptual, Logical, Physical). Good in analyzing data.

Data Modeller Permanent Chennai / Bangalore / Pune / Hyderabad / Delhi NCR Preferred candidate profile 6- 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:

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.

Hi, we had a openings for the bellow role. Required Skills: Data Modeler, ERWIN, Informatica , SQL Work Mode: Hybrid Interview Mode: Virtual interested candidates please share me the updated cv to vkanakam@radiants.com.

Role: Lead Data Engineer Work mode: 5 days Work from office Location: Bengaluru (Bellandur) Notice Period: Immediate joiners Job Description: Lead Data Engineer utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Senior Data Engineer designs and oversees the entire data infrastructure, data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Key Responsibilities: Design and overseeing the entire data architecture strategy. Mentor junior data architects to ensure skill development in alignment with the team strategy. Design and implement complex scalable, high-performance data architectures that meet business requirements. Model data for optimal reuse, interoperability, security and accessibility. Develop and maintain data flow diagrams, and data dictionaries. Collaborate with stakeholders to understand data needs and translate them into technical solutions. Ensure data accessibility through a performant, cost-effective consumption layer that supports use by citizen developers, data scientists, AI, and application integration. Ensure data quality, integrity, and security across all data systems. Qualification: Experience in Erwin, Azure Synapse, Azure Databricks, Azure DevOps, SQL, Power BI, Spark, Python, R. Ability to drive business results by building optimal cost data landscapes. Familiarity with Azure AI/ML Services, Azure Analytics: Event Hub, Azure Stream Analytics, Scripting: Ansible Experience with machine learning and advanced analytics. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Understanding of CI/CD pipelines and automated testing frameworks. Certifications such as AWS Certified Solutions Architect , IBM certified data architect or similar are a plus.

Overview As Senior Analyst, Data Modeling, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data str/cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications 8+ years of overall technology experience that includes at least 4+ years of data modeling and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).

Job Title Sr Data Modeler Responsibilities Design, develop, and maintain Star Schema and Snowflake Schema data models for data warehousing solutions. Collaborate with cross-functional teams (data engineers, analysts, business users) to understand business requirements and translate them into data model specifications. Create efficient and scalable database structures, ensuring data integrity, accuracy, and availability. Optimize data models for performance, scalability, and ease of use. Define and implement best practices for data modeling and schema design. Work with ETL developers to ensure smooth data integration into the data warehouse. Perform data profiling/analysis activities that helps to establish, modify and maintain data model Document data models, processes, and standards for future reference and maintenance. Provide technical support and guidance to other teams regarding data modeling techniques and best practices. Technical and Professional Requirements: Data modeler, Erwin Preferred Skills: Technology->Consulting - Data Management->Functional Data Model Generic Skills: Technology->Data Management->Data Management - ALL->Erwin - Erwin Technology->Database->Data Modeling Additional Responsibilities: Experience with cloud platforms (e.g., AWS, Azure) and their data services. Familiarity with data governance and data quality principles. Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit * Location of posting is subject to business requirements

About The Role : Ab Initio Skills:Graph Development, Ab Initio standard environment parameters, GD(PDL,MFS Concepts)E, EME basics, SDLC, Data Analysis Database:SQL Proficient, DB Load / Unload Utilities expert, relevant experience in Oracle, DB2, Teradata (Preferred) UNIX:Shell Scripting (must), Unix utilities like sed, awk, perl, python Scheduling knowledge (Control M, Autosys, Maestro, TWS, ESP) Project Profiles:Atleast 2-3 Source Systems, Multiple Targets, simple business transformations with daily, monthly Expected to produce LLD, work with testers, work with PMO and develop graphs, schedules, 3rd level support Should have hands on development experience with various Ab Initio components such as Rollup Scan, join Partition, by key Partition, by Round Robin. Gather, Merge, Interleave Lookup etc Experience in finance and ideally capital markets products. Requires experience in development and support of complex frameworks to handle multiple data ingestion patterns.e.g, messaging files,hierarchical polymorphic xml structures conformance of data to a canonical model curation and distribution of data QA Resource. Data modeling experience creating CDMs LDMs PDMs using tools like ERWIN, Power designer or MagicDraw. Detailed knowledge of the capital markets including derivatives products IRS CDS Options structured products and Fixed Income products. Knowledge on Jenkins and CICD concepts. Knowledge on scheduling tool like Autosys and Control Center. Demonstrated understanding of how AbInitio applications and systems interact with the underlying hardware ecosystem. Experience working in an agile project development lifecycle. Strong in depth knowledge of databases and database concepts DB2 knowledge is a plus Primary Skills Abinitio Graphs Secondary Skills SQL Skills (competencies) Ab Initio Agile (Software Development Framework) Apache Hadoop AWS Airflow AWS Athena AWS Code Pipeline AWS EFS AWS EMR AWS Redshift AWS S3 Azure ADLS Gen2 Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Event Hub Azure Stream Analytics Azure Sunapse Bitbucket Change Management Client Centricity Collaboration Continuous Integration and Continuous Delivery (CI/CD) Data Architecture Patterns Data Format Analysis Data Governance Data Modeling Data Validation Data Vault Modeling Database Schema Design Decision-Making DevOps Dimensional Modeling GCP Big Table GCP BigQuery GCP Cloud Storage GCP DataFlow GCP DataProc Git Google Big Tabel Google Data Proc Greenplum HQL IBM Data Stage IBM DB2 Industry Standard Data Modeling (FSLDM) Industry Standard Data Modeling (IBM FSDM)) Influencing Informatica IICS Inmon methodology JavaScript Jenkins Kimball Linux - Redhat Negotiation Netezza NewSQL Oracle Exadata Performance Tuning Perl Platform Update Management Project Management PySpark Python R RDD Optimization SantOs SaS Scala Spark Shell Script Snowflake SPARK SPARK Code Optimization SQL Stakeholder Management Sun Solaris Synapse Talend Teradata Time Management Ubuntu Vendor Management

Job Overview: As Senior Analyst, Data Modeling , your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics . The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications: 8+ years of overall technology experience that includes at least 4+ years of data modeling and systems architecture. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operatinghighly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).

Responsibilities Develop conceptual, logical, and physical data models for Microsoft Fabric and Power BI solutions. • Implement data models for relational, dimensional, and data lake environments on target platforms. • Collaborate with the Offshore Data Engineer and Onsite Data Modernization Architect to ensure model alignment. • Define and govern data modeling standards, tools, and best practices. • Optimize data structures for query performance and scalability. • Provide updates on modeling progress and dependencies to the Offshore Project Manager. Skills 5+ years of data modeling experience with relational and NoSQL platforms. • Proficiency with modeling tools (e.g., Erwin, ER/Studio) and SQL. • Experience with Microsoft Fabric, data lakes, and BI data structures. • Strong analytical and communication skills for team collaboration. • Attention to detail with a focus on performance and consistency.

Bachelors degree in computer science or related field or equivalent work experience. 10+ years of experience as a Senior Developer, including designing and implementing complex systems from scratch. Data modeler with Mortgage servicing knowledge. Database performance knowledge (DB behavior when the load is increased). Experience in Erwin data modelling tool. Knowledge in star, snowflake schema and data warehousing concepts. Understand requirement for business users and create data model based on requirement. Snowflake and Postgres SQL knowledge. Expertise in PLSQL. Mandatory Skills Data Modeler Snowflake PLSQL / SQL

Role & responsibilities 8+ years experiences with data analytics, data modeling or data architecture and database design. Experience in data modeling or data architecture in transactional and operational reporting and analytical (EDW, Data Lake, NoSQL) solutions. Experience with Dimensional Modeling / Data Warehouse Modeling Data modeling, data warehousing, dimensional modeling, data modeling for big data and metadata management. Experience using (Erwin, TOAD, or any other data modeling tool) for data modeling. Understanding of enterprise and reporting modeling concepts, including dimensional modeling, snowflakes, slowly changing dimensions, schema on read, irregular dimensions, and surrogate, compound and intelligent keys. Experience with capacity planning, database scripting and package deployment Good knowledge of data replication methodology. Good knowledge of data warehouse, data mart and Data Lake Experience with AWS and cloud-based databases and data warehouses. Strong Knowledge of Structured Query Language (SQL) and use in data access and analysis. Excellent communication, problem solving, organizational and analytical skills Strong communication and interpersonal skills.

Role & responsibilities 8+ years experiences with data analytics, data modeling or data architecture and database design. Experience in data modeling or data architecture in transactional and operational reporting and analytical (EDW, Data Lake, NoSQL) solutions. Experience with Dimensional Modeling / Data Warehouse Modeling Data modeling, data warehousing, dimensional modeling, data modeling for big data and metadata management. Experience using (Erwin, TOAD, or any other data modeling tool) for data modeling. Understanding of enterprise and reporting modeling concepts, including dimensional modeling, snowflakes, slowly changing dimensions, schema on read, irregular dimensions, and surrogate, compound and intelligent keys. Experience with capacity planning, database scripting and package deployment Good knowledge of data replication methodology. Good knowledge of data warehouse, data mart and Data Lake Experience with AWS and cloud-based databases and data warehouses. Strong Knowledge of Structured Query Language (SQL) and use in data access and analysis. Excellent communication, problem solving, organizational and analytical skills Strong communication and interpersonal skills.

Job Title: DB2 Database Administrator Overview: We are looking for a skilled DB2 Database Administrator to join our architecture team. In this role, you will support development projects by helping teams manage and store data on the mainframe's central DB2 system. Your focus will be on defining data models, creating efficient SQL queries, and improving application performance related to DB2. You'll also evaluate new DB2 features and provide recommendations for their use across the organization. Note that this role is focused on architecture, not operations. Key Responsibilities: Maintain and update DB2 database structures and implement changes. Assist in creating and ensuring the quality of physical database models. Optimize and review SQL queries for performance improvements. Help developers with complex SQL queries and troubleshoot performance issues. Provide support to users with QMF-related issues. Train application developers and business staff on DB2-related topics. Research and assess new DB2 features for potential use in the organization. Key Skills & Competencies: Technical Skills: Experience in mainframe software development, ideally under IMS. Strong knowledge of Cobol and SQL. Experience with database management, particularly DB2. Familiarity with data modeling (entity-relationship) and tools like ERwin. Experience with BMC Catalog Manager and BMC Change Manager is a plus. Knowledge of APPTUNE is beneficial. Behavioral Skills: Strong communication, organizational, and interpersonal skills. Ability to adapt to changing requirements and learn new skills quickly. Proactive in identifying issues and providing solutions. Ability to guide and support teams effectively. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, IT, or related field. Candidates with a non-technical degree must have at least 1 year of relevant experience. An MBA in IT, Insurance, or Finance is also acceptable for roles like Requirements Engineer or Test Engineer. How to Apply: If you have the experience and skills required for this role, send your profiles to vivek.bhadrecha@delta-ssi.net

Job Location : Hyderabad Mode of Work: Hybrid Key Skills to work o n: Data Modelling, Financial Data, Data Modelling tools + Financial Data Modelling Domain : Banking/BFSI only Principal responsibilities The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of innovative technology. This will be achieved by ensuring all actions take into account the likelihood of operational risk events, and by addressing any areas of concern in conjunction with line management and/or the appropriate department. The role will implement the Operational Risk control framework and per the BRCMs Three Lines of Defence.” Qualifications - Minimum of 5 years' experience of Data management and modelling solutions working as a Data Modeller within the Financial Services sector is essential; preferably in a Treasury/Finance function and or related front office environment. Good understanding of managing 'data as a product (asset)’ principle across enterprise domains and technology landscapes & architectural domains (business, data, application, and technology) Experience of working with Agile and Scrum in a large scalable Agile environment. This should include participation and progress reporting in daily standups. Data standards, data governance, data strategy and data lineage would be advantageous in this role. Cloud exposure to solutions implemented in either GCP, AWS or Azure would be beneficial as well as having exposure to big data solutions would be advantageous. Experience working with leading data modelling tools modelling documentation using tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio etc. Knowledge of reference/master data management, data modelling standards and modelling technical documentation using Entity Relationship Diagrams (ERD) or Unified Modelling language (UML) or BIAN. Interested can share profile to gramashetty@allegisglobalsolutions.com Regards, Gopala BR HR Talent Acquisition

Exp - 11 to 20 Years Role - Data Modeling Architect / Senior Architect / Principal Architect Position - Permanent Locations - Hyderabad, Bangalore, Chennai, Pune, Delhi NCR JD: 10+ years of experience in Data Warehousing & Data Modeling . Decent SQL knowledge Able to suggest modeling approaches & Solutioning 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

Exp - 5 to 10 Yrs Role - Data Modeller Position - Permanent Job Locations - DELHI, PUNE, CHENNAI, HYDERABAD, BANGALORE Experience & Skills: 5+ years of experience in strong Data Modeling and Data Warehousing skills 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)

Hi Candidates We have Job openings in one or MNC Company Interested candidates can apply here Role & responsibilities Data Modeler JD The Data Modeler designs and implements data models for Microsoft Fabric and Power BI, supporting the migration from Oracle/Informatica. This offshore role ensures optimized data structures for performance and reporting needs. The successful candidate will bring expertise in data modeling and a collaborative approach. Responsibilities Develop conceptual, logical, and physical data models for Microsoft Fabric and Power BI solutions. Implement data models for relational, dimensional, and data lake environments on target platforms. Collaborate with the Offshore Data Engineer and Onsite Data Modernization Architect to ensure model alignment. Define and govern data modeling standards, tools, and best practices. Optimize data structures for query performance and scalability. Provide updates on modeling progress and dependencies to the Offshore Project Manager. Skills Bachelors or master’s degree in computer science, data science, or a related field. 5+ years of data modeling experience with relational and NoSQL platforms. Proficiency with modeling tools (e.g., Erwin, ER/Studio) and SQL. Experience with Microsoft Fabric, data lakes, and BI data structures. Strong analytical and communication skills for team collaboration. Attention to detail with a focus on performance and consistency Preferred candidate profile please share your details here to chandrakala.c@i-q.co

Role & responsibilities : The primary objective of the position is to play a pivotal role in our data journey by providing hands-on support to design, implement and optimize data models and database structures that support business critical processes that harness the full value of its robust and dynamic data landscape. The role sits within the Global Tools reporting Team and is tasked with delivering solutions that report on both operational and managerial health. The role requires intermediate to expert skills that enable the individual to deliver a high level of service and to meet the expectation from the business. Preferred candidate profile : Collaborate with technical and business teams to ensure data requirements align with data principles and guidelines. Design, develop, and maintain conceptual, logical, and physical data models for transactional databases, data warehouses, data lakes, and more. Develop efficient data structures to enhance performance, quality, scalability, and reliability across data platforms. Ensure data models meet business needs are interoperable where possible and adhere to technical architecture standards, supporting various types of Data & AI use cases. Stay up to date with the latest technologies capabilities, and best practices. Provide guidance and support to the development team on the integration. Work closely with product owners and business stakeholders to define and refine the requirements. Collaborate with other architects and developers to ensure seamless integration of solutions with other systems. Document technical specifications, data models, and processes related. Identify opportunities for standardization and automate data maintenance processes. Foster a data-driven culture and advocate for the benefits of data management. Engage with leadership and functional leads to ensure alignment and support. Continuously improve the agile development process, incorporating feedback and lessons learned to enhance team productivity and efficiency. Lead the evaluation and selection of third-party tools and plugins to enhance the functionality and capabilities Foster a collaborative and empowered team environment, promoting effective communication, knowledge sharing, and cross-functional collaboration. Qualification, Experience and Skills: Educational Qualification : Minimum Bachelor's degree in IT/CS 8+ years of experience in enterprise data models, data structures, data engineering, or database design, management experience is a plus Proficiency in data modelling for data from different domains( Data Vault, 3NF, Snowflakes, Star) Proficient in SQL and RDBMS (e.g., MySQL, PostgreSQL, Oracle, SQL Server, Synapse). Knowledge in Synapse analytics and large data model. Strong experience in data warehousing and big data technologies. Data Mesh/Data Product experience a plus Familiar with cloud data services and infrastructure (Azure, AWS) Knowledgeable in data modeling tools (e.g, ERwin). Excellent communication skills for both technical and non-technical audiences. Bachelors degree or higher in Computer Science, Engineering, Information Systems, or a related field. Skills : Data modeling, DP-203, Reporting, Agile, ITIL

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 don’t 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 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

- Design & oversee the entire data architecture strategy - Mentor junior data architects - Design & implement complex scalable, high-performance data architectures • Develop & maintain data flow diagrams, data dictionaries. Required Candidate profile - Exp. in Erwin, Azure Synapse, ADB, Azure DevOps, SQL, Power BI, Spark, Python, R - Azure AI/ML Services, Azure Analytics: Event Hub, Azure Stream Analytics, Scripting: Ansible, advanced analytics

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Data Modeller. Experience: 7+ Years Skill Set: Data Modelling and SQL. Location: Pune, Hyderabad, Gurgaon Position in brief: We are more looking into technical with a piece of functional knowledge. at least 5 years of hands-on data modeling (conceptual, logical, and physical), data profiling, and data analysis skills SQL It should be Basic to intermediate level/ added advantage someone good with writing complex SQL queries ETL - should have an idea of how ETL process works/ should provide any ETL attributes and partition-related info as part of the data mapping document. Any tool experience is okay- ER Studio, ERWin, Sybase Power Designer. Detailed Job Description We are looking for a passionate Data Analyst/Data Modeler to build, optimize and maintain conceptual and logical/Physical database models. The Candidate will turn data into information, information into insight, and insight into business decisions. Responsibilities: Be responsible for gathering requirements from the business team and translating to technical requirements. Should be able to drive the projects and provide guidance wherever needed. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models. The candidate must be able to work independently and collaboratively. Work with management to prioritize business and information needs. Requirements: 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/Big data platform technologies, and ETL and data ingestion protocols). Proven working experience as a data analyst/data modeler or a similar role. Technical expertise in designing data models, database design and data analysis. Prior experience involving in the migration of data from legacy systems to new solutions. Good knowledge of metadata management, data modelling, and related tools (Erwin or ER Studio or others) is required. Experience gathering and analysing system/business requirements and providing mapping documents for technical teams. Strong analytical skills with the ability to collect, organize, analyze, and disseminate. significant amounts of information with attention to detail and accuracy Hands-on experience with SQL Problem-solving attitude