378 Dimensional Modeling Jobs - Page 4

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 ...

Position Summary To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of pharma/life sciences (domain). Job Responsibilities Key Responsibilities: Design, build, and optimize modular and reusable DBT models (staging, intermediate, and mart layers). Maintain and manage DBT documentation , tests, version control practices (using Git). Implement data transformation pipelines using DBT, SQL , and integrate with cloud data warehouses like Redshift , or Snowflake. Collaborate with analysts, engineers, and stakeholders to understand data needs and define transformation logic. Establish and enforce...

About The Role Project Role : Business Architect Project Role Description : Identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Translate business needs into technology-enabled solutions and operating models. Support transformation by developing business cases and guiding implementation of key initiatives. Must have skills : Business Requirements Analysis Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Architect, you will identify opportunities to deliver tangible business value by asse...

Role Overview: As a Lead Tableau Developer, you will be responsible for driving the development of robust and visually compelling business intelligence solutions using Tableau. Your role will involve collaborating with cross-functional teams, gathering business requirements, designing data models, and delivering impactful Tableau dashboards and reports. Key Responsibilities: - Lead the design, development, and maintenance of Tableau dashboards and reports. - Collaborate with business stakeholders to gather and understand reporting and visualization needs. - Write complex T-SQL queries, stored procedures, views, and functions to support Tableau reporting needs. - Optimize SQL queries and Tabl...

As a Data Modeler at PwC, you will play a vital role in analyzing business needs, developing long-term data models, and ensuring the efficiency and consistency of data systems. Your expertise in data modeling, metadata management, and data system optimization will be crucial in this role. Key Responsibilities: - Analyze and translate business needs into long-term solution data models. - Evaluate existing data systems and recommend improvements. - Define rules to translate and transform data across data models. - Work with the development team to create conceptual data models and data flows. - Develop best practices for data coding to ensure consistency within the system. - Review modificatio...

About The Role Role Purpose Anaplan, Anaplan Model Builder, Integrations and SQL ? Do 3+ years of Model development and business process architecting using EPM tools Strong expertise and deep understanding of multi-dimensional modeling Basic to intermediate knowledge of SQL Expert skills of Excel spreadsheet modeling, macros, pivot tables, formulas, charts etc. Strong understanding of data integration Self-motivated and ability to manage timelines across multiple projects. Strong interest in structured finance preferred. ? Deliver excellent customer service through effective diagnosis and troubleshooting of client queries Provide product support and resolution to clients by performing a ques...

Key Responsibilities Lead and deliver data-related product implementation. Lead and execute business data projects. Lead and mentor Teams. Direct the implementation of Data Cloud technologies (Azure/Snowflake/Data Bricks/ Data Science S/w Hub) using industry best practices. Develop, document, maintain and support elegant data solutions Develop documentation of the data architecture, flow, and warehouse models. Provide resolution to complex data pipeline-related problems. Deploy Snowflake features such as data sharing, events, and lake-house patterns. Leverage Snowflake utilities such as SnowSQL, SnowPipe, and Big Data modeling techniques using Python. Manage Azure services such as ADLS, Azur...

Design, develop, optimize scalable data pipelines using Azure Data Factory (ADF) Build maintain ETL/ELT workflows for structured and unstructured data Leverage Azure Databricks for big data processing, analytics, and machine learning integration Required Candidate profile Work with Azure Synapse Analytics, Cosmos DB, Azure Data Lake Storage to deliver high-performing data solutions Apply data warehousing concepts, dimensional modeling, best practices for performance Perks and benefits Perks and Benefits

Role Proficiency: This role requires proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. This position demands independence and proficiency across various data domains. Expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including the ability to calculate processing costs and address performance issues. A solid understanding of DevOps and infrastructure needs is also required. Outcomes: Act creatively ...

We are seeking a highly motivated and experienced Analytics and Data Engineer to guide the data engineering team. The ideal candidate will have a strong background in data engineering, capable of data-driven decision-making. This role will be crucial in designing, developing, and maintaining our data infrastructure to support our business intelligence and analytics needs. Key Requirements Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field. 6+ years of experience in a data engineering or similar role. Lead a team of data engineers and analysts, providing guidance, mentorship, and technical direction. Key Responsibilities Design, build, and maintain s...