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Quantiphi
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Senior Data Engineer - Data Modeler

Senior Data Engineer - Data Modeler

Quantiphi

10 - 14 years

0 Lacs

karnataka

Posted:1 day ago| Platform: Shine logo

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Skills Required

conceptual data modeling logical data modeling physical data modeling data mapping data extraction data analysis data cleansing data profiling erwin data profiling automation data warehousing etl tools data quality data governance leadership agile methodology communication skills magicdraw entityrelational data modeling data vault modeling dimensional data modeling erstudio informatica analyst source to target mapping data dictionaries data modelling best practices data optimization ingestion logic ingestion frequency data consumption patterns testing strategy data modeling repository modeldriven development data modeling standards cloud platforms industry data models data modeling tools power designer enterprise architect

Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Modeler at Quantiphi, you will play a crucial role in designing and implementing data models for various applications such as Data Warehouse, Data Lake, DataMart, OLTP, and OLAP systems. Your responsibilities will include: - Utilizing your strong Conceptual, Logical, and Physical Data Modeling skills to create data mapping documents, write functional specifications, and design Entity-Relational, Data Vault, and Dimensional Data models. - Collaborating with the Data Management team to perform Data Extraction, Data Analysis, Data Cleansing, and Data Profiling using tools like Erwin, ER/Studio, and Informatica Analyst. - Recommending the best modeling approach to clients based on their requirements and target architecture. - Analyzing datasets, guiding the team in creating Source to Target Mapping and Data Dictionaries, and profiling data sets to generate insights. - Defining Data Modelling Best Practices and ensuring their implementation across projects. - Optimizing Data Models, defining ingestion logic, ingestion frequency, and data consumption patterns. - Working with the Quality Engineering team to devise the right testing strategy and drive automation in modeling activities. - Collaborating with stakeholders, architects, and analysts to design and develop the next-generation data platform. - Managing data modeling repository, supporting model-driven development, and defining/governing data modeling/design standards and best practices. In addition to the above responsibilities, you will need to possess the following required skills: - 10+ years of experience in hybrid data environments involving distributed and relational database technologies like Oracle, IMB DB2, and GCP. - Thorough understanding of data warehousing principles, architecture, and implementation in complex environments. - Expertise in OLTP, OLAP systems, Data Analysis, ETL tools, and data ingestion frameworks. - Experience in designing complex Dimensional data models, testing methodologies, and user acceptance testing. - Familiarity with cloud platforms such as AWS, Azure, GCP, Data Quality, Data Governance, and Industry Data Models. - Leadership experience with large teams, handling large datasets, agile methodology, and excellent communication skills. - Exposure to Data Modeling Tools like Erwin, Power Designer, ER/Studio, Enterprise Architect, and MagicDraw. Your role at Quantiphi will involve not only designing data models but also collaborating with various teams, driving projects to completion, and ensuring data integrity and governance. Your expertise will be instrumental in shaping the data architecture and analytics solutions for the company's clients.,

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Senior Data Engineer - Data Modeler