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New York, New York

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Today

Title: Data Modelling Manager Location: NYC, NY Day 1 Onsite / Location might differs based on client s requirement. Exp: 10+ years Primary Skill: Data Architecture, Data Modelling, Data WareHouse Job Description: We are looking for an experienced Data Modeling to lead the design and management of enterprise data models that support analytics, reporting, and operational systems. The role involves working closely with data engineers, architects, and business stakeholders to ensure high-quality, s

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Contract, Third Party

Depends on Experience

Manager, Ontology and Data Modeling - Commercial Bank

New York, New York

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9d ago

Manager, Ontology and Data Modeling - Commercial Bank The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will

Full-time

USD 149,800.00 - 171,000.00 per year

Google Cloud Platform DATA ENGINEER - New Jersey, Onsite. Must be strong expertise in Google Cloud Platform services, Cloud environment, BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring, SQL, Python and Linux scripting, ETL tools such as Datastage, Informatica, SSIS, data modeling (star/snowflake) and data warehouse concepts, CI/CD, version control (Git), and Infrastructure as Code (Terraform) and Google Cloud Platform Professional Data Engineer or Cloud Architect certification is a plus.

Jersey City, New Jersey

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12d ago

Need min 5 Years exp in USA JD for Google Cloud Platform DATA ENGINEER Job Summary: We are seeking a skilled Google Cloud Platform (Google Cloud Platform) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with Google Cloud Platform data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization. Key Respo

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Contract, Third Party

Depends on Experience

Lead Data Engineer with Semantic Data Modeling

Remote

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12d ago

Position :- Lead Data Engineer with Semantic Data Modeling Role type: Long Term Contract Location : Remote Data Analytics is looking for Data Product Engineer to help build cloud-based Data Products Position Responsibilities: Design and implement semantic models that facilitate data understanding and usage across various business functions. Collaborate with cross-functional teams to gather requirements and translate business needs into effective data models. Utilize AWS services, particularly D

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Contract

$70 - $75

Lead Data Engineer with Semantic Data Modeling

Remote

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6d ago

Role: Lead Data Engineer with Semantic Data Modeling Location: Remote Duration: Long Term Position Responsibilities: Design and implement semantic models that facilitate data understanding and usage across various business functions.Collaborate with cross-functional teams to gather requirements and translate business needs into effective data models.Utilize AWS services, particularly Data Zone, to build and manage data pipelines and semantic layers.Leverage ontology tools such as dbt products, Q

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Contract

Depends on Experience

Engineer, Big Data - Power BI/Databricks/SQL/Data Modeling - Remote

Remote or Long Beach, California

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Today

Job Description Job Description Job Summary Responsible for collecting, storing, processing, and analyzing large sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. He/she will also be responsible to follow architecture and best practices used across the enterprise. Knowledge/Skills/Abilities: Define ideal Architecture, Evaluating tools and Frameworks, Standards & Best Practices for implementing

Full-time

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