233 Erwin Jobs - Page 5

7+ years of experience conducting statistical, research-minded analysis of variety of data types/forms with aim to utilize this analysis into building or optimizing predictive methods 5+ years experience in programming with languages such as Python, R, SAS 4+ years of deep, hands-on experience with machine Learning applied to the healthcare or other high-stakes domains (direct experience in a cloud environment is highly valued) Previous exposure to healthcare provider data, payer data, patient generated data, Iot data would be advantage. Experience applying computational algorithms, statistical and programming methods using (R and Python) to structured and unstructured data Demonstrable success within a Data Science environment focused on agile thinking and innovative solutions, delivering complex and large-scale projects

Role: Data Modeler Experience: 6-9 Years Relevant Experience in Data Modeler :5+ Years Notice Period: Immediate to 15 Days Joiners Only Role & responsibilities The Data Modeller designs fit-for-purpose conceptual, logical, and physical data models in-line with business requirements to serve analytical, business intelligence, and operational use cases primarily within the data platform. Technical skills: Entity relationship, dimensional, and NOSQL modelling as appropriate to data warehousing, business intelligence, and analytical approaches using IE or other common notations. SQL, DDL, DML, and Pyspark scripting ERWIN or Visio data modelling/UML tool(Mandatory to have) Proven knowledge of physical and logical data modelling in a data warehouse environment including the successful creation of conformed dimensional models from a range of legacy source systems alongside modern SaaS/Cloud business applications Experienced at capturing technical and business metadata including being able to elicit and create sound definitions for entities and attribute. Practiced and able to query data from source or raw data and reverse engineer an underlying data model and data definitions. Experienced in writing scripts for data transformation using SQL, DDL, DML, and Pyspark. Good knowledge and exposure to software development lifecycles and good engineering practices Can demonstrate a good working knowledge of data modelling patterns and when to use them. Reach us:If you are interested in this position and meet the above qualifications, please reach out to me directly at swati@cielhr.com and share your updated resume highlighting your relevant experience.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: ERWIN. Experience5-8 Years.

Develop and implement logical and Physical Data models to meet business requirements Experience in Data Modeling tools Erwin/Power Designer Develop, optimize, and maintain DB tables, Schemas, Procedures etc Ensure DB performance through query optimization and indexing techniques Strong experience with Relational Databases Create and maintain documentation for data processes and architectures

Key Responsibilities Design and develop data models to support the organizations data and business intelligence requirements. Collaborate with data architects, data engineers, and stakeholders to ensure data model alignment with business requirements. Optimize and tune data models for performance and scalability. Ensure data accuracy, consistency, and integrity by implementing data quality and governance standards. Participate in data migration and integration projects, ensuring seamless data flow across systems. Technical Skills Expertise in data modeling tools (e.g., ERwin, Power Designer, SQL Developer Data Modeler) Proficiency in SQL and database management systems (e.g., Oracle, SQL Server, Snowflake) Understanding of data warehousing and ETL processes. Familiarity with data governance and data quality management tools and practices.

We are seeking a highly experienced Data Modeler with expertise in Data Modelling, Data Analysis, and Dimensional Modelling The ideal candidate should have hands-on experience with Erwin or Erwin Studio, Data Warehousing (DWH), Snowflake, and SQL The role involves designing and developing data models to support business intelligence and analytics solutions while ensuring data integrity, consistency, and compliance with Banking domain standards Responsibilities include working with Snowflake to optimize cloud-based data models, executing complex SQL queries for data analysis, and resolving data quality issues The candidate should have strong analytical and problem-solving skills, prior experience in the Banking domain, and the ability to work independently in a remote environment

Job Description Overall 7-10 yrs of IT experience with a Bachelor's degree in computer science, information technology, or a similar field. Must have 4+ years strong experience in Data modelling. Able to understand, analyze and design enterprise data model, and have expertise on any data modelling tool Erwin,power designer. Have created flexible and scalable model Have experience at least two end-to-end implementation of cloud data warehouse. 3 years of hands-on experience with physical and relational data modeling. Expert knowledge of metadata management and related tools. Supporting and providing consultation to database users and developers Preparing accurate database design and architecture reports for management and executive teams Overseeing the migration of data from legacy systems to new solutions Recommending solutions to improve new and existing database systems Experience with team management. Excellent communication and presentation skills. Roles & Responsibilities Involvement in overall SDLC including requirement gathering, development, testing, debugging, deployment, documentation, production support. Familiarity and experience in the work environment consisting of Business analysts, Production Support teams, Subject Matter Experts, Database Administrators, Data Engineers and BI Developers. Strong skills in SQL, PL/SQL packages, functions, stored procedures, triggers and materialized views to implement business logic in database. Develop mapping spreadsheets for (ETL) team with source to target data mapping with physical naming standards, datatypes, volumetric, domain definitions , and corporate meta-data definitions. Exceptional communication and presentation skills and established track record of client interactions. Experience with Database SQL tuning and query optimization tools like Explain Plan. Experience in designing Conceptual, Logical and Physical Data Models SKills - Data-Modeler, Data-Modelling, Erwin, Power-Designer, SQL

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.

Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Job Role: A Data Modeler designs and creates data structures to support business processes and analytics, ensuring data integrity and efficiency. They translate business requirements into technical data models, focusing on accuracy, scalability, and consistency. Here's a more detailed look at the role: Responsibilities: Designing and developing data models: This includes creating conceptual, logical, and physical models to represent data in a structured way. Translating business needs : They work with stakeholders to understand business requirements and translate them into actionable data structures. Ensuring data integrity: They implement data validation rules and constraints to maintain the accuracy and reliability of data. Optimizing data models: Data modelers optimize models for performance, scalability, and usability, ensuring data can be efficiently stored and retrieved. Collaborating with other teams : They work with database administrators, data engineers, and business analysts to ensure data models align with business needs and technical requirements. Documenting data models: They provide clear documentation of data structures and relationships, including entity-relationship diagrams and metadata. Skills: Data modeling techniques: Knowledge of various data modeling approaches, including normalization, denormalization, and dimensional modeling. Database technologies: Understanding of relational databases, NoSQL databases, and other database systems. SQL: Proficiency in writing SQL queries for database management and data manipulation. Data modeling tools: Familiarity with tools like PowerDesigner, ERwin, or Visio. Communication and collaboration: Strong communication skills to effectively work with diverse teams and stakeholders. Problem-solving:. Ability to identify and resolve data model performance issues and ensure data accuracy.

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 data bases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. 7+ 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. Required Skills Required Skills - Data Modeling, Dimensional modeling, Erwin, Data Management, RDBMS, SQL/NoSQL, ETL

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 : Data & AI Strategy Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business strategy and meets the needs of various stakeholders. You will collaborate with cross-functional teams to gather requirements and translate them into effective data solutions, while also addressing any challenges that arise during the development process. Your role will be pivotal in establishing a robust data framework that supports the organization's objectives and enhances data accessibility and usability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and best practices among team members.- Monitor and evaluate the effectiveness of data strategies and make necessary adjustments. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Ability to design scalable and efficient data architectures.- Familiarity with cloud-based data solutions and platforms. Additional Information:- The candidate should have minimum 12 years of experience in Data & AI Strategy.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business objectives and supports efficient data management and accessibility. You will collaborate with various teams to understand their data needs and provide innovative solutions that enhance data utilization across the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Continuously evaluate and improve data architecture practices to ensure scalability and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Ability to design and implement data governance frameworks.- Familiarity with cloud-based data storage solutions and architectures. Additional Information:- The candidate should have minimum 15 years of experience in Data & AI Strategy.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

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 : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :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.- Conduct data analysis to support business requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles.- Experience with data modeling tools such as ERwin or PowerDesigner.- Knowledge of data governance and data quality best practices.- Good To Have Skills: Experience with data warehousing concepts. 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 Noida office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with business objectives and supports efficient data management practices. You will collaborate with various teams to understand their data needs and provide innovative solutions to enhance data accessibility and usability. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Continuously evaluate and improve data architecture practices to ensure scalability and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Ability to design and implement data governance frameworks.- Familiarity with cloud-based data storage solutions and architectures. Additional Information:- The candidate should have minimum 15 years of experience in Data & AI Strategy.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

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.

Employment Type : Contract (Remote). Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Role & responsibilities - We are seeking a talented data modeler to assist with the design and implementation of company databases. Mandatory skills required to work - Data base management, SQL, NoSQL, Data modelling, ERWin, IBM data architect, ETL, Talend, Apache, Microsoft SSI, Big data understanding, Hadoop, Athena and redshift Cloud computing AWS must and should. As a data modeler, you will be working closely with data architects and data analysts to implement data modeling solutions in order to streamline and support enterprise information management. To ensure success as a data modeler, you should have in-depth knowledge of data warehousing, as well as expert communication skills. Ultimately, a top-notch data modeler should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management. Collaborate with business analysts and stakeholders to understand business processes and requirements, translating them into data modelling solutions. Design and develop logical and physical data models that effectively capture the granularity of data necessary for analytical and reporting purposes. Migrate and optimize existing data models from traditional on-premises data stores to Azure/Databricks cloud environments, ensuring scalability and performance. Establish data modelling standards and best practices to maintain the integrity and consistency of the data architecture. Work closely with data engineers and BI developers to ensure that the data models support the needs of analytical and operational reporting. Conduct data profiling and analysis to understand data sources, relationships, and quality, informing the data modelling process. Continuously evaluate and refine data models to accommodate evolving business needs and to leverage new data modelling techniques and cloud capabilities. Document data models, including entity-relationship diagrams, data dictionaries, and metadata, to provide clear guidance for development and maintenance. Provide expertise in data modelling and data architecture to support the development of data governance policies and procedures. Preferred candidate profile - We are a startup and expect each team member to wear multiple hats, take initiative, and spot and solve problems. Candidates with a healthcare reimbursement background is preferable. Bachelor's degree in computer science, information technology, or a similar field. 5 years of hands-on experience with physical and relational data modeling. Expert knowledge of metadata management and related tools. Knowledge of mathematical foundations and statistical analysis. Strong interpersonal skills. Experience with team management. Excellent communication and presentation skills. Advanced troubleshooting skills. Knowledge, Skills, Behaviors: Minimum of 5 years of experience in data modelling, with a strong background in both traditional RDBMS and modern cloud-based data platforms. Proficiency in SQL and experience with data modelling tools (e.g., ER/Studio, ERwin, Power Designer). Familiarity with Azure cloud services, Databricks, and other big data technologies. Understanding of data warehousing concepts, including dimensional modelling, star schemas, and snowflake schemas. Ability to translate complex business requirements into effective data models that support analytical and reporting functions. Strong analytical skills and attention to detail. Excellent communication and collaboration abilities, with the capacity to engage with both technical and non-technical stakeholders.

Job role & responsibilities:- Understanding operational needs by collaborating with specialized teams Supporting key business operations. This involves in supporting architecture designing and improvements ,Understanding Data integrity and Building Data Models, Designing and implementing agile, scalable, and cost efficiency solution. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries Technical Skills, Qualification and experience required:- Proficient in Data Modelling 5-10 years of experience in Data Modelling. Exp in Data modeling tools ( Tool - Erwin). building ER diagram Hands on experince into ERwin / Visio tool Hands-on Expertise in Entity Relationship, Dimensional and NOSQL Modelling Familiarity with manipulating dataset using using Python. Exposure of Azure Cloud Services (Azure DataFactory, Azure Devops and Databricks) Exposure to UML Tool like Ervin/Visio Familiarity with tools such as Azure DevOps, Jira and GitHub Analytical approaches using IE or other common Notations Strong hands-on experience on SQL Scripting Bachelors/Master's Degree in Computer Science or related field Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills Good communication skills to coordinate between business stakeholders & engineers Strong results-orientation and time management True team player who is comfortable working in a global team Ability to establish relationships with stakeholders quickly in order to collaborate on use cases Autonomy, curiosity and innovation capability Comfortable working in a multidisciplinary team within a fast-paced environment * Immediate Joiners will be preferred only Outstation candidate's will not be considered

Role & responsibilities Design and implement end-to-end data architecture, including data modeling, storage solutions, data pipelines, and security frameworks. Develop conceptual, logical, and physical data models to support analytical, transactional, and operational use cases. Lead the integration of structured and unstructured data from various sources into data lakes and data warehouses. Define and maintain data governance, security, data quality, and compliance standards (e.g., GDPR, HIPAA). Collaborate with cross-functional teams including data engineers, software developers, business analysts, and stakeholders to translate business needs into data solutions. Optimize data storage, retrieval, and processing workflows for performance and scalability. Evaluate and recommend new data management technologies, tools, and practices. Support real-time and batch processing solutions using modern big data and streaming technologies. Document data flows, data models, and architecture decisions.

As an Data Engineer at IBM you wi harness the power of data to unvei captivating stories and intricate patterns. You' contribute to data gathering, storage, and both batch and rea-time processing. Coaborating cosey with diverse teams, you' pay an important roe in deciding the most suitabe data management systems and identifying the crucia data required for insightfu anaysis. As a Data Engineer, you' tacke obstaces reated to database integration and untange compex, unstructured data sets. In this roe, your responsibiities may incude: Impementing and vaidating predictive modes as we as creating and maintain statistica modes with a focus on big data, incorporating a variety of statistica and machine earning techniques Designing and impementing various enterprise search appications such as Easticsearch and Spunk for cient requirements Work in an Agie, coaborative environment, partnering with other scientists, engineers, consutants and database administrators of a backgrounds and discipines to bring anaytica rigor and statistica methods to the chaenges of predicting behaviours. Buid teams or writing programs to ceanse and integrate data in an efficient and reusabe manner, deveoping predictive or prescriptive modes, and evauating modeing resuts Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise 4+ years of experience in data modeing, data architecture. Proficiency in data modeing toos Erwin, IBM Infosphere Data Architect and database management systems Famiiarity with different data modes ike reationa, dimensiona and NoSQL databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principes, data warehousing concepts, and data governance practices Preferred technica and professiona experience Exceent anaytica and probem-soving skis with a keen attention to detai. Abiity to work coaborativey in a team environment and manage mutipe projects simutaneousy. Knowedge of programming anguages such as SQL

Position Title Data Engineer About Advanced Energy Advanced Energy Industries, Inc (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide, Responsibilities: Work with business to understand their current state architecture and contributing data sources, technologies, interfaces, performance issues and system configurations, Work closely with the team across the overall data warehousing program including data acquisition, data curation and data syndication, Apply knowledge of the Microsoft platform tooling involved in successful Azure implementations, Serve as the subject matter expert with respect to Azure, cloud applications and system administration best practices, Experience designing data lakes, database schemas and data models for large scale data platform implementation on Azure, Develop system integrations using, Azure Logic Apps, Integration services, Power Automate, PowerApps, etc Perform project management activities including project documentation, business requirements and project tracking, Ensuring data quality and consistency through data cleaning, transformation, and integration processes, Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance, Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions, Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information, Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks, Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making, Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities, Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards, Providing guidance and support for data governance, including metadata management, data lineage, and data cataloguing, Tech Stack: Python SQL and NoSQL databases Scala Spark-SQL Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field Minimum of 5+ years of data and analytics field experience in the industries like manufacturing, engineering, supply chain with large-scale implementation experience, 3-5 years in Data pipeline engineering role in Data and Analytics scope, Working knowledge of Azure Analytics features such as Stream Analytics, Machine Learning and Application Insights, Modelling and ETL knowledge with Erwin, Azure Databricks, Data Factory, SSIS and Azure Synapse, Develop and maintain system integrations using, Azure Logic Apps, Integration Services, Power Automate, PowerApps, etc Microsoft Azure data platform experience with Power BI, Azure Data Lake, data warehouse and Data Factory, Knowledge on migrating on-premises applications to Azure PaaS and Azure LaaS, Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines Should be well versed with Data Structures & algorithms Excellent analytical and problem-solving skills, Ability to work independently as a self-starter, and within a team environment, Good Communication skillsWritten and Verbal As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate, Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities, We are committed to protecting and respecting your privacy We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No 10173 also known as the Data Privacy Act of 2012,

Role Overview As a key player in our Analytics team, you will design and deliver analytics solutions to both new and existing customers You will propose efficient and sophisticated solutions for data analysis and visualization, and support the fast-tracking of our new analytical offerings, Responsibilities Interact with stakeholders to gather and understand business requirements from a data perspective, Provide functional solutions and designs for data requirements, Perform source-to-target mapping across systems (DL to DWH, DWH to DN and DN to Reporting) Conduct data warehouse data modelling Design and build interactive analytics dashboards to provide actionable insights to customers, Understand existing data solutions to offer quick turnaround business solutions for new requests Address ad-hoc data requirements from various business stakeholders, Qualifications And Skills Strong domain knowledge in P&C Insurance, Ability to work independently and take ownership of end-to-end delivery, Strong understanding of Data Warehouse concepts with experience in at least one Data Warehouse implementation project, Proficiency in driving requirement gathering sessions and translating them into BI solutions (KPIs, Reports, Dashboards), Proficiency in SQL and basic Python scripting, Experience in designing data models and data marts, with exposure to tools like Erwin or Toad Data Modeler, Experience in source system study, source-to-target mapping (ETL specs), and report specification, Experience in supporting Data Engineering, Report Development, UAT, and Production Support teams, Exposure to data analysis and visualization tools like Powerbait or similar, Masters degree in Statistics, Business Intelligence, or a related field, or a bachelors degree with a minimum of 2 years of experience as a Business Analyst,

Project description We are seeking a highly skilled Data Modelling Expert with deep experience in the Avaloq Core Banking platform to join our technology team. The ideal candidate will be responsible for designing, maintaining, and optimizing complex data models that support our banking products, client data, and regulatory reporting needs. This role requires a blend of domain expertise in banking and wealth management, strong data architecture capabilities, and hands-on experience working with the Avaloq platform. Responsibilities Design, implement, and maintain conceptual, logical, and physical data models within the Avaloq Core Banking system. Collaborate with business analysts, product owners, and Avaloq parameterisation teams to translate business requirements into robust data models. Ensure alignment of data models with Avaloq's object model and industry best practices. Perform data profiling, quality checks, and lineage tracing to support regulatory and compliance requirements (e.g., Basel III, MiFID II, ESG). Support integration of Avaloq data with downstream systems (e.g., CRM, data warehouses, reporting platforms). Provide expert input on data governance, metadata management, and model documentation. Contribute to change requests, upgrades, and data migration projects involving Avaloq. Collaborate with cross-functional teams to drive data consistency, reusability, and scalability. Review and validate existing data models, identify gaps or optimisation opportunities. Ensure data models meet performance, security, and privacy requirements. Skills Must have Proven experience (5+ years) in data modelling or data architecture, preferably within financial services. 3+ years of hands-on experience with Avaloq Core Banking Platform, especially its data structures and object model. Strong understanding of relational databases and data modelling tools (e.g., ER/Studio, ERwin, or similar). Proficient in SQL and data manipulation in Avaloq environments. Knowledge of banking products, client lifecycle data, and regulatory data requirements. Familiarity with data governance, data quality, and master data management concepts. Experience working in Agile or hybrid project delivery environments. Nice to have Exposure to Avaloq Scripting or parameterisation is a strong plus. Experience integrating Avaloq with data lakes, BI/reporting tools, or regulatory platforms. Understanding of data privacy regulations (GDPR, FINMA, etc.). Certification in Avaloq or relevant financial data management domains is advantageous. Other Languages English: C1 Advanced Location - Pune,Bangalore,Hyderabad,Chennai,Noida