167 Erwin Jobs - Page 3

Azure Data Modeler - candidate will have a strong background in data modeling, database design, and experiencewith Azure data services. requires excellent analytical skills and the ability to translate business requirements into effective data models

Job Summary Synechron is seeking a skilled Data Modeler with intermediate-level experience to join our team. This role is pivotal for translating business needs into strategic data models that support our objectives, particularly within the BFSI and Wealth Management domains. The Data Modeler will contribute to our business success by developing, evaluating, and maintaining robust data models that ensure consistency and accuracy in our data management. Software Requirements Required: Proficiency in SQL and hands-on experience with data modeling tools such as PowerDesigner or Erwin Experience with one or more databases like Teradata, SQL Server, Hadoop Hive, or Snowflake Preferred: Familiarity with Python and Power BI Unix scripting skills Overall Responsibilities Design, implement, and maintain conceptual, logical, and physical data models. Translate business needs into data models that support strategic solutions. Develop and enforce best practices for naming conventions and coding practices. Perform reverse engineering of physical data models from various databases. Analyze data-related system integration challenges and propose solutions. Guide System Analysts, Engineers, and Programmers on project capabilities and limitations. Review software modifications to enhance efficiency and performance. Technical Skills (By Category) Programming Languages: Required: SQL Preferred: Python Databases/Data Management: Required: Experience with Teradata, SQL Server, Hadoop Hive, Snowflake Frameworks and Libraries: Preferred: PowerDesigner, Erwin Development Tools and Methodologies: Preferred: Agile methodologies Security Protocols: Preferred: Knowledge of data security best practices Experience Requirements 4 to 6 years of data modeling experience. Experience in the BFSI domain and Wealth Management business. Experience in working with larger agile teams, fleets, and squads. Day-to-Day Activities Create and maintain data models and corresponding metadata. Collaborate with cross-functional teams to support database-related initiatives. Participate in regular meetings to align on project goals and progress. Analyze and propose solutions for system integration challenges. Evaluate data models and databases for discrepancies and propose corrections. Qualifications RequiredBachelor’s degree in Computer Science or a related field. PreferredCertifications in data modeling or database management. Commitment to continuous professional development and staying current with industry trends. Professional Competencies Strong critical thinking and problem-solving capabilities. Effective leadership and teamwork abilities. Excellent communication and stakeholder management skills. Adaptability and a continuous learning orientation. Innovative mindset and ability to manage time and priorities effectively.

More than 2+ years of experience in data modelling designing, implementing, and maintaining data models to support data quality, performance and scalability. Proven experience as a Data Modeller and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Working knowledge of SAP data models, particularly in HANA and S/4HANA, Retail Data like IRI, Nielsen Retail. Must Have: Data Modeling, Data Modeling Tool experience, SQL Nice to Have: SAP HANA, Data Warehouse, Databricks, CPG" Immediate Joiners only Please apply only if you meet the given requirements

Job Title: Data Modeler Experience: 5+ Years Location: Hyderabad (WFO). Roles and Responsibilities: Experience in data modelling designing, implementing, and maintaining data models to support data quality, performance, and scalability. Proven experience as a Data Modeler and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in Azure, Databricks, Data warehousing, ERWIN, and Supply chain background is required. Strong knowledge of data modelling principles and techniques (e.g., ERD, UML). Proficiency with data modelling tools (e.g., ER/Studio, Erwin, IBM Data Architect). Experience with relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of data warehousing, ETL processes, and data integration. Able to create and maintain Source to Target mapping [STTM] Document , Bus Matrix Document , etc. Realtime experience working in OLTP & OLAP Database modelling. Additional: Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a collaborative, fast-paced environment.

Data modeling experience Strong with SQL with hands-on using Data Modeling tools like Power designer or Erwin Experience in any one of the Database like Teradata, SQL Server, Hadoop Hive, Snowflake etc Create and maintain conceptual, logical and physical data models along with corresponding metadata. Good to have Python & Power BI hands-on experience. Unix Scripting

Job_Description":" Data Modeler JD: Proven experience as a Data Modeler or in a similar role (8 years depending on seniority level). Proficiency in data modeling tools (e.g., ER/Studio, Erwin, SAP PowerDesigner, or similar). Strong understanding of database technologies (e.g., SQL Server, Oracle, PostgreSQL, Snowflake). Experience with cloud data platforms (e.g., AWS, Azure, GCP). Familiarity with ETL processes and tools. Excellent knowledge of normalization and denormalization techniques. Strong analytical and problem-solving skills.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFP’s received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipro’s Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: ERWIN. Experience8-10 Years.

Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system. There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system Preferred technical and professional experience Translates business needs into a data model, providing expertise on data modeling tools and techniques for designing data models for applications and related systems. Skills include logical and physical data modeling, and knowledge of ERWin, MDM, and/or ETL. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations

Experience Range : 4 - 12+ Year's Work Location : Bangalore (Proffered ) Must Have Skills : Airflow, big query, Hadoop, PySpark, Spark/Scala, Python, Spark - SQL, Snowflake, ETL, Data Modelling, Erwin OR Erwin Studio, Snowflake, Stored Procedure & Functions, AWS, Azure Databricks, Azure Data Factory. No Of Opening's : 10+ Job Description : We are having multiple Salesforce roles with our clients. Role 1 : Data Engineer Role 2 : Support Data Engineer Role 3 : ETL Support Engineer Role 4 : Senior Data Modeler Role 5 : Data Engineer Data Bricks Please find below the JD's for each role Role 1 : Data Engineer 5+ years of experience in data engineering or a related role. Proficiency in Apache Airflow for workflow scheduling and management. Strong experience with Hadoop ecosystems, including HDFS, MapReduce, and Hive. Expertise in Apache Spark/ Scala for large-scale data processing. Proficient in Python Advanced SQL skills for data analysis and reporting. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. Designs, proposes, builds, and maintains databases and datalakes, data pipelines that transform and model data, and reporting and analytics solutions Understands business problems and processes based on direct conversations with customers, can see the big picture, and translate that into specific solutions Identifies issues early, proposes solutions, and tactfully raises concerns and proposes solutions Participates in code peer reviews Articulates clearly pros/cons of various tools/approaches Documents and diagrams proposed solutions Role 2 : Support Data Engineer Prioritize and resolve Business-As-Usual (BAU) support queries within agreed Service Level Agreements (SLA) while ensuring application stability. Drive engineering delivery to reduce technical debt across the production environment, collaborating with development and infrastructure teams Perform technical analysis of the production platform to identify and address performance and resiliency issues Participate in the Software Development Lifecycle (SDLC) to improve production standards and controls Build and maintain the support knowledge database, updating the application runbook with known tasks and managing event monitoring Create health check monitors, dashboards, synthetic transactions and alerts to increase monitoring and observability of systems at scale. Participate in on-call rotation supporting application release validation, alert response, and incident management Collaborate with development, product, and customer success teams to identify and resolve technical problems. Research and implement recommendations from post-mortem analyses for continuous improvement. Document issue details and solutions in our ticketing system (JIRA and ServiceNow) Assist in creating and maintaining technical documentation, runbooks, and knowledge base articles Navigate a complex system, requiring deep troubleshooting/debugging skills and an ability to manage multiple contexts efficiently. Oversee the collection, storage, and maintenance of production data, ensuring its accuracy and availability for analysis. Monitor data pipelines and production systems to ensure smooth operation and quickly address any issues that arise. Implement and maintain data quality standards, conducting regular checks to ensure data integrity. Identify and resolve technical issues related to data processing and production systems. Work closely with data engineers, analysts, and other stakeholders to optimize data workflows and improve production efficiency. Contribute to continuous improvement initiatives by analyzing data to identify areas for process optimization Role 3 : ETL Support Engineer 6+ years of experience with ETL support and development ETL Tools: Experience with popular ETL tools like Talend, Microsoft SSIS, Experience with relational databases (e.g., SQL Server, Postgres). Experience with Snowflake Dataware house. Proficiency in writing complex SQL queries for data validation, comparison, and manipulation Familiarity with version control systems like Git, Github to manage changes in test cases and scripts. Knowledge of defect tracking tools like JIRA, ServiceNow. Banking domain experience is a must. Understanding of the ETL process Perform functional, Integration and Regression testing for ETL Processes. Validate and ensure data quality and consistency across different data sources and targets. Develop and execute test cases for ETL workflows and data pipeline. Load Testing: Ensuring that the data warehouse can handle the volume of data being loaded and queried under normal and peak conditions. Scalability: Testing for the scalability of the data warehouse in terms of data growth and system performance. Role 4 : Senior Data Modeler 7+ experience in metadata management, data modelling, and related tools (Erwin or ER Studio or others). Overall 10+ Experience in IT. Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional data platform technologies, and ETL and data ingestion). Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Communication, and presentation skills. Help team to Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies develop the conceptual/logical/physical data models Define and govern data modelling and design standards, tools, best practices, and related development for enterprise data models. Hands-on modelling in modelling and mappings between source system data model and Datawarehouse data models. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks with respect to modelling and mappings. Hands on experience in writing complex SQL queries. Good to have experience in data modelling for NOSQL objects Role 5 : Data Engineer Data Bricks Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks Design and build ETL pipelines using ADF Build and maintain a Lakehouse architecture in ADLS / Databricks. Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc. Work with DevOps team to deploy solutions in production environments. Control data processes and take corrective action when errors are identified. Corrective action may include executing a work around process and then identifying the cause and solution for data errors. Participate as a full member of the global Analytics team, providing solutions for and insights into data related items. Collaborate with your Data Science and Business Intelligence colleagues across the world to share key learnings, leverage ideas and solutions and to propagate best practices. You will lead projects that include other team members and participate in projects led by other team members. Apply change management tools including training, communication and documentation to manage upgrades, changes and data migrations.

Zetwerk is looking for Architect & Data Governance to join our dynamic team and embark on a rewarding career journey Collaborating with clients, engineers, and other stakeholders to determine project requirements and goals Developing and presenting design concepts, plans, and models to clients for approval Conducting site surveys and analyzing data to determine the best design solutions for a particular location and purpose Preparing detailed drawings and specifications Staying current with relevant building codes, regulations, and industry trends Managing budgets, schedules, and other project-related activities Ensuring that projects are completed within budget, on time, and to the satisfaction of clients and stakeholders An Architect must possess a combination of technical, creative, and interpersonal skills

Database development environment developing the OLTP system.Data migration and data integration activities.Data modeling using ERWin tool is preferred.Experience in Oracle,Postgresql databases∈ writing the stored procedures, function, triggers Required Candidate profile Experience in AWS cloud environment ,basic database administration activities, DWH/BI environment with dimensional modeling skills, Knowledge in Snowflake is a big plus

Experience : 10+ Years Location : Bangalore, Hybrid Notice Period : Immediate Joiners to 30 days Mode of Interview : 2-3 rounds Key Skills : Snowflake or Databricks, Python or Java, Cloud, Data Modeling Primary Skills : - Erwin tool - Data Modeling (Logical, Physical) - 2+ years - Snowflake - 2+ years - Warehousing Concepts - Any cloud Secondary Skills : - dbt cloud - Airflow - AWS Job Description : This is a hands-on technology position for a data technology leader with specialized business knowledge in the middle/front office areas. The candidate is someone with a proven record of technology project execution for data on the cloud, able to get hands-on when it comes to analysis, design, and development, and has creativity and self-motivation to deliver on mission-critical projects. These skills will help you succeed in this role : - Having 10+ Years of experience in an application development team with hands-on architecting, designing, developing, and deployment skillset. - Have demonstrated ability to translate business requirements in a technical design and through to implementation. - Experienced Subject Matter Expert in designing & architecting Big Data platforms services, and systems using Java/Python, SQL, Databricks, Snowflake, and cloud-native tools on Azure and AWS. - Experience in event-driven architectures, message hub, MQ, Kafka. - Experience in Kubernetes, ETL tools, Data as a Service, Star Schema, Dimension modeling, OLTP, ACID, and data structures is desired. - Proven Experience with Cloud and Big Data platforms, building data processing applications utilizing Spark, Airflow, Object storage, etc. - Ability to work in an on-shore/off-shore model working with development teams across continents. - Use coding standards, secured application development, documentation, Release and configuration management, and expertise in CI/CD. - Well-versed in SDLC using Agile Scrum. - Plan and execute the deployment of releases. - Ability to work with Application Development, SQA, and Infrastructure team. - Strong leadership skills, analytical problem-solving skills along with the ability to learn and adapt quickly. - Self-motivated, quick learner, and creative problem solver, organized, and responsible for managing a team of dev engineers. Education & Preferred Qualifications : - Bachelor's degree and 6 or more years of experience in Information Technology. - Strong team ethics and team player. - Cloud certification, Databricks, or Snowflake Certification is a plus. - Experience in evaluating software estimating cost and delivery timelines and managing financials. - Experience leading agile delivery & adhering to SDLC processes is required. - Work closely with the business & IT stakeholders to manage delivery. Additional Requirements : - Ability to lead delivery, manage team members if required, and provide feedback. - Ability to make effective decisions and manage change. - Communicates effectively in a professional manner both written and orally. - Team player with a positive attitude, enthusiasm, initiative, and self-motivation.

Job Title: ======= Senior MS BI Developer Onsite Location: ============= Dubai, UAE Doha , Qatar Riyadh, Saudi Onsite Monthly Salary: ============== 10k AED - 15k AED - Full tax free salary , Depending on Experience Gulf work permit will be sponsored by our client Project duration: ============= 2 Years, Extendable Desired Experience Level Needed: =========================== 5 - 10 Years Qualification: ========== B.Tech / M.Tech / MCA / M.Sc or equivalent Experience Needed: =============== Over all: 5 or more Years of total IT experience Solid 3+ Years experience or MS - BI Developer with Microsoft Stack / MS - DWH Engineer Job Responsibilities: ================ - Design and develop DWH data flows - Able to build SCD -1 / SCD - 2 / SCD -3 dimensions - Build Cubes - Maintain SSAS / DWH data - Design Microsoft DWH & its ETL packages - Able to code T-SQL - Able to create Orchestrations - Able to design batch jobs / Orchestrations runs - Familiarity with data models - Able to develop MDM (Master Data Management) Experience: ================ - Experience as DWH developer with Microsoft DWH data flows and cubes - Exposure and experience with Azure services including Azure Data Factory - Sound knowledge of BI practices and visualization tools such as PowerBI / SSRS/ QlikView - Collecting / gathering data from various multiple source systems - Creating automated data pipelines - Configuring Azure resources and services Skills: ================ - Microsoft SSIS / SSAS / SSRS - Informatica - Azure Data Factory - Spark - SQL Nice to have: ========== - Any on site experience is added advantage, but not mandatory - Microsoft certifications are added advantage Business Vertical: ============== - Banking / Investment Banking - Capital Markets - Securities / Stock Market Trading - Bonds / Forex Trading - Credit Risk - Payments Cards Industry (VISA/ Master Card/ Amex) Job Code: ====== MSBI_DEVP_0525 No.of positions: ============ 05 Email: ===== spectrumconsulting1977@gmail.com if you are interested, please email your CV as ATTACHMENT with job ref. code [ MSBI_DEVP_0525 ] as subject

Dear Candidate, We are hiring a Data Engineer to build scalable data pipelines and infrastructure to power analytics and machine learning. Ideal for those passionate about data integrity, automation, and performance. Key Responsibilities: Design ETL/ELT pipelines using tools like Airflow or dbt Build data lakes and warehouses (BigQuery, Redshift, Snowflake) Automate data quality checks and monitoring Collaborate with analysts, data scientists, and backend teams Optimize data flows for performance and cost Required Skills & Qualifications: Proficiency in SQL, Python, and distributed systems (e.g., Spark) Experience with cloud data platforms (AWS, GCP, or Azure) Strong understanding of data modeling and warehousing principles Bonus: Experience with Kafka, Parquet/Avro, or real-time streaming Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Digital Solutions Consultant I - HYD014C Company Worley Primary Location IND-AP-Hyderabad Job Digital Solutions Schedule Full-time Employment Type Agency Contractor Job Level Experienced Job Posting Apr 21, 2025 Unposting Date May 21, 2025 Reporting Manager Title Director, Data Platform We deliver the worlds most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, were bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Digital Solutions Consultant with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc An AWS Data Modeler is responsible for designing and implementing data models that effectively organize and manage data within Amazon Web Services (AWS) environments. This role involves collaborating with data architects, analysts, and business stakeholders to translate business requirements into scalable and efficient data structures. Data ModelingDevelop conceptual, logical, and physical data models to support various business applications, ensuring alignment with organizational data standards. AWS IntegrationDesign and implement data models optimized for AWS services, including RDS, Redshift, DynamoDB, and S3, to ensure seamless data integration and retrieval. ETL ProcessesCollaborate with ETL developers to design workflows that ensure accurate and efficient data extraction, transformation, and loading, maintaining data quality and consistency. Metadata ManagementAdminister and maintain metadata repositories to ensure data accuracy, consistency, and accessibility. Data Quality AssuranceImplement data validation and cleansing techniques to maintain high data quality standards. DocumentationCreate and maintain comprehensive documentation of data models, data flow diagrams, and related processes to facilitate understanding and maintenance. About You To be considered for this role it is envisaged you will possess the following attributes Educational BackgroundBachelor's or Master's degree in Computer Science, Information Systems, or a related field. Experience8+ years of experience in data modeling, with a focus on designing data structures for finance, commercial, supply chains, procurement, or customer analytics. AWS ProficiencyExtensive experience with AWS services, including RDS, Redshift, DynamoDB, and S3, with relevant AWS certifications being a plus. SQL ExpertiseProficiency in SQL for querying databases, creating tables, and managing data relationships. Data Modeling ToolsExperience with data modeling tools such as ERWin or ER/Studio. ETL KnowledgeUnderstanding of ETL processes and experience with data transformation tools and technologies. Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate complex business requirements into technical specifications. CommunicationExcellent communication skills to effectively collaborate with technical teams and non-technical stakeholders. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. Were building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please noteIf you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley.

We are Hiring: Senior Data Modeler Location: Hyderabad or Gurugram Experience: 6+ Years Note: Immediate joiners only Are you passionate about data modeling and looking for your next big opportunity? Join us at GSPANN Technologies ! Key Skills: Strong expertise in conceptual, logical, and physical data modeling Proficiency with tools like ER Studio , Erwin , PowerDesigner , or similar Solid understanding of relational and dimensional data models Experience collaborating with data architects and engineering teams Send your resume to heena.ruchwani@gspann.com to apply!

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 managementbusiness 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 levelslow-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).

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 15 Yrs Location: Pan India Job Description: Minimum Two years experience in Boomi Data modeling Interested can share your resume to sankarspstaffings@gmail.com with below inline details. Over All Exp : Relevant Exp : Current CTC : Expected CTC : Notice Period :

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: 5+ 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

Role - Data Modeler Exp - 5+ years Location - Chennai / Hyderabad / Bangalore Work Mode - Hybrid ( 3 days) Primary Skills Capital Market Data Modeling Job Description: Business Analyst Data Modeler to join our Data and Architecture Services team within the Capital Markets Division. The successful candidate will be responsible for designing and implementing data models that effectively capture trade data across a diverse range of financial products. This role requires a blend of technical expertise in data modeling, deep knowledge of capital markets, and a strong understanding of trade data Responsibility Design and develop sophisticated data models for trade data related to various financial instruments, ensuring alignment with business needs and regulatory requirements Collaborate with business analysts, data engineers, and IT teams to gather requirements and translate business needs into technical specifications. Create and maintain logical and physical data models, ensuring optimal performance and compliance with internal and external standards. Ensure data models are flexible and scalable to support the introduction of new products and adapt to changes in market practices. Bachelor or Masters degree in Computer Science, Information Systems, Finance, or a related field. Minimum of 5 years of experience in data modeling, with a strong preference for candidates with capital markets experience. Expert knowledge of financial products, trade lifecycle, and market data. Demonstrated experience in modeling trade data using industry-standard protocols and schemas such as FpML (Financial Products Markup Language), ISDA CDM (International Swaps and Derivatives Association Common Domain Model), FIX (Financial Information eXchange), SWIFT, or ISO20022. Proficiency in data modeling tools (e.g., ERwin, PowerDesigner, IBM Data Architect) and familiarity with database technologies (SQL, NoSQL). Experience with data warehousing, ETL processes, and big data platforms

Project Role : Data Modeler Project Role Description :Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills :Data Modeling Techniques and Methodologies Good to have skills :NA Minimum 7.5 year(s) of experience is required Educational Qualification :15 years full time educationSummary:As a Data Modeler, you will collaborate with key stakeholders, including business representatives, data owners, and architects to model current and new data, contributing to data architecture decisions and solutions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead data modeling efforts for various projects.- Develop and maintain data models for databases.- Ensure data integrity and quality in all data modeling activities.- Provide guidance and support to junior data modelers. Professional & Technical Skills:- Must To Have Skills:Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database management systems.- Experience with data modeling tools such as ERwin or PowerDesigner.- Knowledge of data normalization and denormalization techniques.- Hands-on experience with SQL and data querying.- Good To Have Skills:Experience with data governance practices. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Network Infrastructures Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will be responsible for defining the data requirements and structure for the application. You will model and design the application data structure, storage, and integration. Your typical day will involve collaborating with cross-functional teams, analyzing data needs, and implementing effective data solutions. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Design and develop data architecture strategies and solutions. Create and maintain data models and database designs. Ensure data integrity and security. Collaborate with stakeholders to understand data requirements and translate them into technical specifications. Professional & Technical Skills: Must To Have Skills:Proficiency in Network Infrastructures. Experience with data modeling and database design. Strong understanding of data integration and ETL processes. Knowledge of data governance and data management best practices. Experience with data warehousing and data visualization tools. Good To Have Skills:Experience with cloud-based data platforms. Additional Information: The candidate should have a minimum of 5 years of experience in Network Infrastructures. This position is based in Noida. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Any Stream Summary :As a Data Architect, you will be responsible for defining the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration using SAP Master Data Governance MDG Tool. Roles & Responsibilities: Design and implement data architecture solutions using SAP Master Data Governance MDG Tool. Collaborate with cross-functional teams to understand business requirements and translate them into data architecture solutions. Develop and maintain data models, data dictionaries, and data flow diagrams. Ensure data quality and integrity by implementing data governance policies and procedures. Stay updated with the latest advancements in data architecture and integration technologies. Professional & Technical Skills: Must To Have Skills:Experience in SAP Master Data Governance MDG Tool. Good To Have Skills:Experience in data modeling, data integration, and data governance. Strong understanding of data architecture principles and best practices. Experience with data modeling tools such as ERwin or ER/Studio. Experience with data integration tools such as Informatica or Talend. Solid grasp of data governance policies and procedures. Additional Information: The candidate should have a minimum of 5 years of experience in SAP Master Data Governance MDG Tool. The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data architecture solutions. This position is based at our Bengaluru office. Qualifications BE Any Stream

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. Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

5-10 years of relevant exp in database development environment developing the OLTP system Development and maintenance of data models for any application and system Experience in understanding business requirements and translate them into conceptual Required Candidate profile Exp. in AWS cloud environment is a plus Exp. in basic database administration activities Exp. in DWH/BI environment with dimensional modeling skills Knowledge in Snowflake is a big plus