- Flexible work arrangements, Free spirit, and emotional positivity
- Agile self-determination, trust, transparency, and open collaboration
- All Support needed for the realization of business goals,
- Stable employment with a great atmosphere and ethical corporate culture
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Data Modelling
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Data Modeler Gsc
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Data Modeller 7.5
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Data Modeler
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Data Modeler
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Data Modeler
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Data Modeler
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Data Architect/Modeler
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Senior Data Modeler
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Data Modeler T500-10964
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Centific - Data Modeler - Azure SQL
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Data Modeler-Azure ADB and Snowflake
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Data Architect and Data Modeling Specialist
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CarbyneTech India Pvt Ltd Hyderabad, IndiaJob Requirements : · Experience in research and development. Conference papers at reputed AI/ML platforms (ICML, NIPS, AAAI) will be a big plus, · - Experience in Time series modeling (classical methods like ARIMA, STL Forecast). Understanding and implementing active research in ...
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Data Architect
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PowerBI/SQL/adf
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Data Scientist
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M.K GROUP Hyderabad, IndiaWe are hiring for Data Scientist for an IT Client out in Hyderabad with a Hybrid working model · - Experience · - 5+ Years · **Skills · - Python, Statistics modelling, SQL, Data visualization, Azure** · - Location · - Hyderabad · Notice Period · - max 30 Days**Job Details** · - . ...
Data Modeler - Hyderabad, India - YASH Technologies
Description
YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
We are looking forward to hire Data Modeling Professionals in the following areas :
Experience
5-8 Years
Job Description
Data Modeler:
5 to 8 years of data modelling experience in a large enterprise. Dimensional data modeling is a key requirement.
Should be good at translating business requirements into conceptual, logical, and physical data models.
Knowledge of Star-Schema Modelling, Snowflake Schema Modelling, Fact, and Dimension tables.
Real time modelling implementations with ERWIN or IDERA ER/studio any DM tool
Demonstrable experience in modelling using a variety of techniques (3NF, dimensional, data vault, etc.) for different data stores and use cases using MS SQL SERVER / Azure
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).
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 modelling 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.
Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business;
Own all data modelling efforts for an Analytic Theme within our Snowflake Analytic Platform, including the design of data structures and the identification of business transformation logic.
Ensure the consistency, availability, understanding, and performance of data by following and improving best practices and standards for data modelling.
Partner with data SMEs, data governance staff and architects and product owners to ensure that data meets consumption needs and conforms to governance standard methodologies.
Good hands-on with SQL and has a problem-solving attitude is desirable
Good To Have
Have knowledge on Azure Cloud
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles