537 Dimensional Modeling Jobs - Page 10

As an ETL & Data Warehousing Developer, your role involves designing, building, and optimizing robust ETL workflows to integrate data from diverse sources into the data warehouse. You will be responsible for implementing data quality and validation checks to ensure accuracy and consistency, translating business requirements into effective data models and transformation logic, and writing complex SQL queries to extract, transform, and load data efficiently. Additionally, you will develop star and snowflake schema data models for analytical reporting and partner with BI teams to integrate ETL pipelines with Qlik Sense or other BI tools. Furthermore, you will maintain and enhance the current da...

Role Overview: As an individual with experience in Azure Synapse Analytics, Azure Data Lake Storage, AI Tools, Avro, and Parquet, and healthcare data management, you will play a crucial role in designing, developing, and maintaining data pipelines for ingestion, transformation, and loading of data into Azure Synapse Analytics. Your expertise will be instrumental in ensuring compliance with data governance policies, implementing security measures, and optimizing the performance of data pipelines within Azure Synapse Analytics. Key Responsibilities: - Design, develop, and maintain data pipelines for ingestion, transformation, and loading of data into Azure Synapse Analytics. - Work with Azure ...

Role Overview: The PEX Report Developer position requires you to collaborate with fund accounting professionals and technology teams to develop, maintain, and enhance customized reporting statements. Your primary responsibility as a PEX Report Developer will involve utilizing QlikView version 11 or higher to create and manage reporting solutions. Key Responsibilities: - Create new reporting and dashboard applications using technologies like QlikView and NPrinting to facilitate better decision-making within the business areas. - Collaborate with stakeholders to identify use cases, gather requirements, and translate them into system and functional specifications. - Install, configure, and main...

Role Overview: As the Business Intelligence (BI) Team Lead at Medline India, you will be instrumental in designing and implementing BI solutions in a Cloud environment, facilitating the transition of current BI reporting to Cloud, and ensuring the efficiency of data architectures. Key Responsibilities: - Design and implement BI solutions in a Cloud environment (Azure / Fabric) and migrate existing BI reporting to Cloud. - Create advanced SQL scripts and develop optimized BI Reporting. - Transition Web Focus Reports/scripts to SQL. - Lead BI projects involving SQL, Alteryx, or other BI tools with the team. - Manage and lead a team of BI developers, offering guidance, mentoring, and support to...

About the Role We are looking for an experienced Data Modeler to join our data engineering team for a leading banking project . The ideal candidate will have hands-on experience in data modeling using Erwin , a deep understanding of Medallion architecture , and strong analytical skills to translate business requirements into scalable, high-quality data models. Key Responsibilities Design, develop, and maintain conceptual, logical, and physical data models using Erwin Data Modeler . Implement and optimize Medallion architecture (Bronze, Silver, Gold layers) for data pipelines and analytical systems. Collaborate with data engineers, business analysts, and architects to define data modeling sta...

Position Overview: We are seeking a highly skilled and motivated Data Engineer to join our team. This role will be responsible for designing, developing, and maintaining robust data pipelines that transform raw data into actionable insights. The ideal candidate will have strong technical expertise in Python, SQL, and AWS data services, with experience in dimensional modeling, data governance, and building analytical solutions. This position offers an opportunity to work in a collaborative environment where innovation and problem-solving are encouraged. The Data Engineer will play a key role in ensuring that high-quality, reliable, and scalable data solutions support business intelligence, an...

Azure Services: Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, etc. Programming Languages: T-SQL, PySpark, Spark SQL, Fair knowledge on KQL. Data Modeling: ERD, Dimensional Modeling ETL Tools: Azure Data Factory, Fair Knowledge of SSIS Big Data Technologies: Fair knowledge on Hadoop and Spark Performance Tuning and Troubleshooting Version Control: Git, Azure DevOps

Required Qualifications: 12+ years of experience within technology application implementation Proven experience in end-to-end implementation and operationalizing technology products across large organizations. Experience building operating models, onboarding processes, and conducting training. Excellent communication and presentation skills to interface with both technical and non-technical audiences. Familiarity with metadata management, data governance frameworks, and enterprise architecture principles. Preferred Qualifications: Strong understanding of data modelling concepts (ER, dimensional, canonical models). Prior experience migrating models from other tools (e.g., Visual Paradigm, Pow...

Roles and Responsibilities Develop and manage robust ETL pipelines using Apache Spark (Scala) Understand Spark concepts, performance optimization techniques, and governance tools Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform, and load data from various systems to the Enterprise Data Warehouse/Data Lake/Data Mesh hosted on AWS or Azure Collaborate cross-functionally to design effective data solutions Implement data workflows utilizing AWS Step Functions or Azure Logic Apps for efficient orchestration. Leverage AWS Glue and Crawler or Azure Data Factory and Data Catalog for seamless data cataloging and automation Monitor, troubleshoot,...

Role Overview: As a Senior Data Engineer (Architecture & Implementation) - Team Lead, your main responsibility is to lead technical architecture decisions for data platform modernization. You will also plan and execute the refactoring of core data pipelines from timer-based to event-driven orchestration. Additionally, you will be implementing subscription schema alignment between Chargebee and Shopify/Recharge. Collaboration with internal Data Engineers to improve platform scalability and performance will be a crucial part of your role. Furthermore, you will define and enforce naming conventions, coding standards, and best practices to ensure the efficiency and effectiveness of the data plat...

As an experienced Lead Data Engineer, your role will involve driving data engineering initiatives, architecting scalable data solutions, and leading a team of engineers. You specialize in Snowflake, Matillion, and Cloud platforms (Azure/AWS) and have expertise in BI tools like Power BI, Tableau. You are required to have strong SQL skills, analytical capabilities, excellent communication, and leadership abilities. Your responsibilities will include: - Designing and developing scalable, high-performance data solutions using Snowflake, Matillion, and cloud environments (Azure/AWS). - Building and optimizing ETL/ELT pipelines leveraging Matillion, Snowflake native capabilities, dbt, and other da...

Your Role We are seeking an experienced Data Engineer with strong expertise in SQL, Spark SQL, Databricks (on Azure or AWS), Unity Catalog, and PySpark to design, build, and optimize modern data solutions. The ideal candidate will also bring in-depth knowledge of data warehousing concepts and best practices to support scalable, high-performance data platforms. In this role you will play a key role in 410 years of experience in Data Engineering / ETL Development. Strong expertise in SQL and Spark SQL (complex queries, optimization, performance tuning). Hands-on experience with Databricks on Azure or AWS (Delta Lake, Lakehouse). Proficiency in PySpark for data processing. Experience with Unity...

About PHENOM: PHENOM is a global HR tech company that is revolutionizing the talent experience. Our AI-powered platform helps companies hire fa ster, develop better, and retain longer. Were a passionate team-building solutions that empower candidates, recruiters, managers, and employees with meaningful, data-driven insights. Phenom People is looking for bright and motivated Data Engineers to play a key role in building the next generation Enterprise Data Lake. The ideal candidate will be passionate about building extremely large, scalable Data Lake on cloud and will want to be part of a team that has accepted the goal to provide data driven innovations at Phenom. We are one of fastest growin...

Role : SSAS Data Engineer We are looking for an experienced SSAS Data Engineer with strong expertise in SSAS (Tabular and/or Multidimensional Models), SQL, MDX/DAX, and data modeling. The ideal candidate will have a solid background in designing and developing BI solutions, working with large datasets, and building scalable SSAS cubes for reporting and analytics. Experience with ETL processes and reporting tools like Power BI is a strong plus. Key Responsibilities - Design, develop, and maintain SSAS models (Tabular and/or Multidimensional). - Build and optimize MDX or DAX queries for advanced reporting needs. - Create and manage data models (Star/Snowflake schemas) supporting business KPIs....

You will be joining the BOLD Business Intelligence (BI) team as an ETL Specialist, responsible for building and maintaining a highly scalable data warehouse and developing/maintaining ETL processes. Working alongside the Data Team, you will be handling highly scalable systems, complex data models, and a significant amount of transactional data. **Key Responsibilities:** - Architect, develop, and maintain a highly scalable data warehouse - Build and maintain ETL processes using Python and Airflow - Integrate third-party data sources such as Google Analytics and Google Ads into the data warehouse **Qualifications Required:** - Minimum 4.5 years of experience as an ETL developer in Data Enginee...

You will be responsible for designing, developing, and maintaining interactive dashboards and reports in Tableau to support business needs. Additionally, you will optimize Tableau dashboards for performance, scalability, and usability, and work closely with business analysts, data engineers, and stakeholders to translate business requirements into meaningful visual analytics. Your role will also involve creating and maintaining data models, data blending, and relationships within Tableau, implementing governance and security protocols for Tableau Cloud/Server environments, and providing training and support to business users on self-service analytics using Tableau. - Design, develop, and mai...

Role Overview: As an SAP BW On HANA Specialist, you will be responsible for the following tasks: Key Responsibilities: - Business Requirements gathering - Business Process designing including Product Fitment & Gap Analysis Estimation - Developing Proof of Concept, Conducting Conference Room Pilot & User Acceptance Testing - Leading and managing a team of technical consultants - Change Management & End User training - Implementation related documentation - Customer and Vendor Interaction - Collaborating with SAP ECC and other source systems Qualifications Required: - Designing data warehouse and Dimensional Modeling for business processes related to FICO, HR, Project Systems, SD, MM - Designi...

Role Overview: As a Senior Consultant/Lead Consultant specializing in Business Intelligence, you will be responsible for performing complex analysis, design, programming, test plans, testing, debugging, modification, and support for QlikView and Qlik Sense. Your role will involve providing advanced technical troubleshooting for Qlik Sense and QlikView, as well as applying advanced administration, management, and performance tuning techniques. Additionally, you will be tasked with researching solutions to various business and technical problems, evaluating alternatives, scoping appropriately, and presenting recommendations with justification to management. Your responsibilities will also incl...

As a Team Lead on the Data Engineering & Analytics team at BizAcuity, you will play a crucial role in overseeing a team of data professionals and driving end-to-end data solutions. Here's a breakdown of what will be expected from you: **Role Overview:** You will be responsible for leading and mentoring a cross-functional team comprising data engineers, ML engineers, reporting engineers, and data/business analysts. Your role involves managing the complete lifecycle of data projects, from requirements gathering to implementation and maintenance. **Key Responsibilities:** - Lead and mentor a team of data professionals - Manage data projects from start to finish - Develop project estimates and a...

As a Power BI Developer, you will be responsible for the following: - Strong hands-on experience on Power BI is mandatory. - Strong hands-on experience on Relational Database and SQL Language is mandatory. - Adequate hands-on experience on Extraction, Transformation and Loading (ETL) (Microsoft SSIS) is mandatory. - Adequate knowledge of Data Warehouse / Solution Design is desirable. - Dimensional Modeling - Strong hands-on experience on Analytics / OLAP Cube Development (Microsoft SSAS and MDX) is desirable. - Strong hands-on experience on Report Development (Microsoft SSRS) is mandatory. - Strong hands-on experience on Big Data, Hadoop, and analytics knowledge is desirable. No additional d...

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 R...

Responsibilities: * Lead quality initiatives at foundry site. * Implement PPAP process & ISO standards. * Conduct Why-Why analysis & RCA investigations. * Ensure compliance with IATF requirements.

Role Description We are seeking a talented and experienced Data Modeler to join our team The Data Modeler will be responsible for designing, developing, and maintaining data models to support various business needs and initiatives The ideal candidate will have a strong background in data modeling principles, database design, and data management best practices Responsibilities: Collaborate with stakeholders, business analysts, and data engineers to understand business requirements and translate them into conceptual, logical, and physical data models. Design and develop data models using industry-standard modeling techniques and tools. Perform data profiling and analysis to understand data qua...

Be the Architect of Data Innovation | Shape Enterprise Data Strategies with DATAMATICS! Job Title: Data Architect (Azure, Databricks, SQL, Python) Location: Bangalore (Bannerghatta) / Mumbai (Andheri East) Work Mode: Work from Office Experience: 15+ years Employment Type: Full-time Company: Datamatics Global Services (A Digital Technologies, Operations & Experiences Company Datamatics) About the Role: We are looking for a visionary Data Architect to lead solution design, strategy, and innovation for enterprise-scale data platforms. This role combines hands-on architecture, leadership, and pre-sales consulting to create scalable, secure, and future-ready data ecosystems. What Youll Do: Archit...

Roles and Responsibilities Design dimensional models for data warehouses, ensuring scalability, performance, and ease of maintenance. Develop logical and physical data models using star schema, snowflake schema, or other modeling techniques. Collaborate with stakeholders to understand business requirements and translate them into technical designs. Ensure consistency across multiple platforms by developing standardized data models. Optimize database performance through efficient indexing strategies. Desired Candidate Profile 9-14 years of experience in Data Modeling with expertise in Data Warehousing, Data Mart, Dimensional Modeling, OLAP (Online Analytical Processing), and Dimensional Data ...