Data Modeling Jobs

Position- Guidewire DeveleoperExp- 8+ yrs Opportunity- Contract.Location- RemoteBudget- 1.5 lakh Shift- General ISTRequired Skills & Experience:8+ years of IT experience with 5+ years in Guidewire implementationsMinimum 4+ years of hands-on experience in Guidewire Cloud formationStrong hands-on expertise in at least one Guidewire XCenter (any 2 is fine):PolicyCenterBillingCenterClaimCenterProficiency in GOSU, Guidewire data model, and integration patternsExperience with Guidewire Cloud architecture, deployment models, and cloud-based integrationsExperience working in distributed/onshore-offshore delivery modelsStrong problem-solving and debugging skillsExcellent verbal and written communication skills (client-facing readiness is critical)Preferred Qualifications:Guidewire certificationsP&C Insurance domain expertiseExperience with APIs, integrations, and event-driven architectureAgile/Scrum experience

Full time trainer of Data analytics and data science

Database Analysts Design, Develop and Administer Data Management Solutions Using Database Management Software. Data Administrators Develop and Implement Data Administration Policy, Standards and Models. They are Employed in Information Technology Consulting Firms and in Information Technology Units Throughout the Private and Public Sectors.This Group Performs Some or all of the Following Duties:Database AnalystsCollect and Document User RequirementsDesign and Develop Database Architecture for Information Systems ProjectsDesign, Construct, Modify, Integrate, Implement and Test Data Models and Database Management SystemsConduct Research and Provide Advice to other Informatics Professionals Regarding the Selection, Application and Implementation of Database Management ToolsOperate Database Management Systems to Analyze Data and Perform Data Mining AnalysisMay Lead, Co-ordinate or Supervise other Workers in this Group.Data AdministratorsDevelop and Implement Data Administration Policy, Standards and ModelsResearch and Document Data Requirements, Data Collection and Administration Policy, Data Access Rules and SecurityDevelop Policies and Procedures for Network And/or Internet Database Access and Usage and for the Backup and Recovery of DataConduct Research and Provide Advice to other Information Systems Professionals Regarding the Collection, Availability, Security and Suitability of DataWrite Scripts Related to Stored Procedures and TriggersMay Lead and Co-ordinate Teams of Data Administrators in the Development and Implementation of Data Policies, Standards and Models.

Key Responsibilities:Build and manage data pipelines and ETL processesWork with large datasets using tools like Spark, Hadoop, or SQLEnsure data quality and performance optimizationRequirements:Experience in Python/SQLHands-on with ETL tools and big data technologiesUnderstanding of data warehousing conceptsBrief Summary:Develops scalable data systems to support analytics and business insights.

We are looking for a highly analytical Lead Process Engineer to drive operational excellence and process transformation within lending operations. The role involves leveraging advanced statistical methods, process intelligence, and AI-assisted tools to improve efficiency, reduce variation, and enable scalable business operations. This position also includes mentoring junior team members while collaborating with cross-functional stakeholders.Key Responsibilities:Lead end-to-end process improvement initiatives using DMAIC methodologyApply statistical analysis, DoE, and SPC techniques to enhance process performanceDesign and optimize operational workflows across lending value streamsBuild and maintain process intelligence dashboards for real-time insightsConduct FMEA-based risk assessments and implement mitigation strategiesDrive AI-assisted process improvements using GenAI tools and automation frameworksPerform capacity forecasting and time series modeling for scaling operationsCollaborate with Product, Data, and Operations teams for transformation initiativesPresent ROI-driven insights and business cases to senior stakeholdersMentor and develop Process Analysts and Junior EngineersRequired Skills & Qualifications:7-9 years of experience in process engineering, quality engineering, or operations improvementStrong expertise in Lean Six Sigma methodologies (DMAIC execution experience mandatory)Hands-on experience in statistical tools: DoE, SPC, regression, hypothesis testingExperience with process mining / intelligence tools (Power BI, Celonis, etc.)Proven experience in FMEA and risk assessment frameworksStrong capability in capacity planning and time series forecastingExposure to AI/GenAI tools in operational environmentsProficiency in Excel (advanced), Python or Minitab, and data visualization toolsStrong stakeholder management and communication skills

good commnication skill ,vmc programer ,line balancing,all documentation

We are seeking a skilled Power BI Developer to join our team. The ideal candidate will be responsible for transforming raw data into meaningful insights through interactive dashboards and reports. You will work closely with stakeholders to understand business requirements and deliver data-driven solutions.Key Responsibilities:Develop, design, and maintain interactive dashboards and reports using Power BIConnect to various data sources (SQL databases, Excel, APIs, cloud platforms, etc.)Perform data modeling and create relationships using Power BI DesktopWrite complex DAX calculations and measuresClean, transform, and load data using Power Query (M Language)Optimize report performance and ensure data accuracyCollaborate with business stakeholders to gather and document requirementsImplement row-level security (RLS) when requiredSchedule data refresh and manage Power BI ServiceTroubleshoot and resolve data/reporting issuesNote: Only Pune-based Candidates can apply.

Job Title:Data ArchitectTeam:Data Platform, Application & DataReports to:Engineering Manager Data Platform, Application & DataLocation:Chennai, HybridMinimum Education:Bachelors Degree or Equivalent ExperienceRecommended Tenure:7+ years in data platform engineering or architecture roles(including 3+ years in a hands-on architecture role)Role Summary:TheData Architectwill design, implement, and manage scalable, reliable, and secure dataarchitectures that power analytics, integrations, and real-time processing across theorganization. As part of theData Platform team, this role collaborates closely withSolutionArchitects, Data Engineers, and cross-functional stakeholdersto ensure that data modelsand systems are aligned with business needs and enterprise architecture standards.Key Responsibilities:Architecture & Design: Translate business and technical requirements into well-defineddata models andarchitecture specifications. Design and documentlogical and physical data models,data flow diagrams,andintegration patterns. Align data architecture withapplication design and system interaction patternsincollaboration with Solution Architects. Establish and maintainbest practices and design standardsfor relational, NoSQL,and streaming data solutions.Solution Delivery & Support: Act as ahands-on architecture leadduring discovery, planning, and delivery phasesof data projects. Guide data engineers in implementing solutions consistent with architectureprinciples and project requirements. Conductdesign and code reviewsto ensure solution quality, scalability, andcompliance. Drive platform evolution by defining and enforcingreusable, modular, and scalablearchitecture practices.Data Governance & Quality: Define and enforcebest practices for data modeling, data security, andperformance tuning. Maintain consistency inmetadata, naming conventions, and data accessstandardsacross environments. Supportdata privacy, classification, and auditabilityrequirements across integratedsystems.Cross-Functional Collaboration: Partner withProduct Managers, Engineering Leads, DevOps, and Analytics teamstodeliver end-to-end data solutions. Collaborate withSolution Architectsto ensure cohesive design and delivery acrossapplication and data domains. Serve as asubject matter experton data structures, semantics, and lifecyclemanagement across key business areas.Key Competencies & Skills: Experience:7+ years in data engineering or data architecture roles, with at least 3years in an architecture-focused position. Cloud Platforms:Proven expertise inGCPand/orAzure, with deep understanding ofnative data services. Data Technologies:Strong understanding ofrelational, NoSQL, and object storageparadigms. Databases:Hands-on experience withOracleandPostgreSQL; proficiencyinPythonpreferred. DevOps for Data:Familiarity withinfrastructure-as-code (IaC)andCI/CDpipelinesfor data engineering. Soft Skills:Excellent communication and stakeholder management skills, with theability tolead through influence. Work Ethic:Self-motivated, organized, and capable of managing multiple initiativessimultaneously.

Job Title: Power Platform Senior LeadExperience: 8+ yearsRole Type: Senior / LeadPrimary Skills: Power Apps, Power Pages, Power BI, Power AutomateNice to Have: Dynamics 365, Azure, Dataverse, GovernanceWork Mode: HybridLocation: Bangalore.ROLE SUMMARY: We are seeking a Power Platform Senior Lead with 8+ years of overall experience and strong hands-on expertise across Power Apps, Power Pages, Power BI, and Power Automate. The role will lead solution design, development, and governance for enterprise-scale Power Platform implementations while mentoring teams and engaging with business stakeholders.KEY RESPONSIBITLITES: * Solution Design & Leadership* Lead end-to-end architecture and design of Power Platform solutions using Power Apps (Canvas & Model-driven), Power Pages, Power Automate, and Dataverse. * Define best practices, standards, and governance models for Power Platform implementations* Translate business requirements into scalable, secure, and performance-optimized solutions* Power Apps & Power Pages* Design and develop advanced Power Apps (Canvas & Model-driven) with complex business logic* Build and customize Power Pages for external-facing portals with authentication, security roles, and data integration* Ensure responsive UI/UX and performance optimization across devices* Power BI & Analytics* Design and deliver Power BI dashboards and reports for executive and operational insights* Implement data modeling, DAX, and performance tuning* Integrate Power BI with Dataverse, Azure SQL, and other enterprise data sourcesAUTOMATION & INTEGRATION:* Develop Power Automate flows for business process automation* Integrate Power Platform with Dynamics 365, Azure services, REST APIs, and third-party systems* Handle error handling, logging, and monitoring for enterprise workflowsGOVERNANCE, SECURITY & ALM: * Define and implement Power Platform governance, including environment strategy, DLP policies, security roles, and licensing optimization* Set up ALM pipelines using Azure DevOps / GitHub for Power Platform solutions* Ensure compliance with enterprise security and data privacy standardsLEADERSHIP & STAKEHOLDER MANAGEMENT: * Act as technical lead and SME, mentoring junior developers and reviewing code* Work closely with business, product owners, and architects* Support presales, estimations, and solution walkthroughs when requiredREQUIRED SKILLS & EXPERIENCE: * 8+ years of overall experience with strong hands-on Power Platform expertise* Deep experience in:1. Power Apps (Canvas & Model-driven)2. Power Pages3. Power BI (DAX, data modeling, performance tuning)4. Power Automate5. Strong knowledge of Dataverse6. Experience with enterprise-scale implementations7. Strong understanding of security, roles, and governance8. Excellent communication and stakeholder management skillsGOOD TO HAVE: * Experience with Dynamics 365 (Sales, Customer Service, F&O/BC exposure is a plus)* Azure services: Azure Functions, Logic Apps, Azure SQL* Microsoft Power Platform certifications* Experience in regulated or large enterprise environmentsAPPLICATION DETAILS:Interested candidates kindly share your updated resume to: hemavathi.s@dtcinfotech.com OR allam.balaji@dtcinfotech.com

Advance Excel, Scripting, Google Sheets, Making Dashboard, Java Script etc.

Key Responsibilities:1. Manage a portfolio of investments: You will be responsible for overseeing a portfolio of investments, including stocks, bonds, and other assets, to ensure they meet the client's financial goals.2. Conduct research and analysis: You will need to analyze market trends, economic indicators, and company financial statements to make informed investment decisions.3. Develop investment strategies: Based on your analysis, you will develop and implement investment strategies to maximize returns while minimizing risk.4. Monitor performance: Continuously monitor the performance of the portfolio and make adjustments as needed to ensure it stays on track to meet the client's objectives.5. Communicate with clients: You will regularly communicate with clients to provide updates on their portfolio performance, discuss investment strategies, and address any questions or concerns.Required Skills and Expectations:1. Strong financial background: A solid understanding of finance and investment principles is essential for this role.2. Analytical skills: The ability to analyze complex financial data and make data-driven decisions is crucial.3. Communication skills: Effective communication skills are necessary to explain investment strategies and performance to clients.4. Time management: The ability to prioritize tasks and manage multiple responsibilities is important in this fast-paced environment.5. Detail-oriented: Attention to detail is key to ensuring accurate analysis and monitoring of the portfolio.

We are looking for a talented Front End Developer to join our team. The ideal candidate should be passionate about building user-friendly, responsive, and visually appealing web applications.Key ResponsibilitiesDevelop and maintain responsive web interfacesConvert UI/UX designs into high-quality codeOptimize applications for maximum speed and scalabilityEnsure cross-browser compatibilityCollaborate with backend developers and designersDebug and fix front-end issues

Job Title: Data EngineerLocation: [Remote / Onsite / Hybrid]Employment Type: [Full-time / Contract / W2 / C2C]Job Summary:We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. The ideal candidate will have hands-on experience with cloud data platforms, large datasets, and data integration tools to ensure the accuracy, reliability, and accessibility of enterprise data.Key Responsibilities:Design, build, and optimize ETL/ELT pipelines to process data from multiple sources.Develop and manage data warehouses, data lakes, and streaming systems.Ensure data reliability, quality, and governance across platforms.Collaborate with data scientists, analysts, and software engineers to deliver data solutions.Monitor, troubleshoot, and enhance data workflows for performance and scalability.Maintain detailed documentation of data architecture, flows, and processes.Required Qualifications:Bachelors degree in Computer Science, Information Systems, Engineering, or a related field.3+ years of experience as a Data Engineer or in a similar data-focused role.Strong proficiency in SQL and one programming language (Python, Scala, or Java).Experience with ETL tools such as Apache Airflow, AWS Glue, or Talend.Expertise in cloud platforms (AWS, Azure, or Google Cloud).Hands-on experience with data warehousing technologies (Snowflake, Redshift, BigQuery, Synapse).Knowledge of big data frameworks (Hadoop, Spark, Kafka).Solid understanding of data modeling, governance, and security best practices.Preferred Qualifications:Experience implementing CI/CD and DevOps practices for data pipelines.Familiarity with real-time data streaming, API integration, and event-driven architectures.Knowledge of containerization tools such as Docker or Kubernetes.Strong problem-solving, analytical, and communication skills.Technical Stack (Typical):Languages: Python, SQL, Scala, JavaFrameworks: Apache Spark, Kafka, Hadoop, AirflowDatabases: Snowflake, Redshift, BigQuery, PostgreSQLCloud Platforms: AWS, Azure, GCPETL / ELT Tools: dbt, Glue, Talend, Informatica

Enter and update data accurately in company systems or Excel sheets.Verify, correct, and organize information.Maintain records and documentation.Assist the team with data compilation and report generation.Ensure confidentiality and data security at all times.