EverestDX Inc
Website:
everestdx.com
Job details:
About The Company
Everest DX We are a Digital Platform Services company, headquartered in Stamford.
Our Platform/Solution includes Orchestration, Intelligent operations with BOTs, AI-powered analytics for Enterprise IT.
Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies.
Digital Transformation Services Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation.
Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation.
Digital Platform Cloud Intelligent Management (CiM) An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed.
Job Title : Data Modeler.
Location : Hyderabad, Telangana (Work from office).
Job Type : Full-Time.
Experience : 5+ Years.
Job Description
- More than 5+ years of experience in data modeling designing, implementing, and maintaining data models to support data quality, performance and scalability.
- Proven experience as a Data Modeler and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements.
- Expertise in Azure, Databricks, Data warehousing, ERWIN, and Supply chain or procurement background is preferred.
- Strong knowledge of data modeling principles and techniques (e.g., ERD, UML).
- Proficiency with data modeling tools (e.g., ER/Studio, ERwin, IBM Data Architect).
- Experience with relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Solid understanding of data warehousing, ETL processes, and data integration.
- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively in a collaborative, fast-paced environment.
(ref:hirist.tech)
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