Data Modeler

4 weeks ago

Jersey City, United States Manpower Group Inc. Full time

Our client in the tech industry is seeking a Data Modeler to join their team. As a Data Modeler, you will be part of the Data Architecture team supporting various teams. The ideal candidate will have strong analytical and problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to both technical and non-technical stakeholders, which will align successfully in the organization.

Job Title: Data Modeler

Location: Jersey City, NJ Hybrid (3x on site, 2x WFH) per week

Pay Range: Based on Experience

Duration : 6 month contract, option to extend

What's the Job?

  • Design, implement, and optimize data models for the data warehouse, ensuring alignment with business requirements.

  • Work extensively with IBM IDA (InfoSphere Data Architect) to create logical and physical data models.

  • Ensure that the data models are scalable, performant, and aligned with the organization’s data strategy.

  • Collaborate with data engineers to implement and maintain data models in Azure and Databricks environments.

  • Translate business requirements into conceptual, logical, and physical data models, ensuring data quality and consistency across systems.

What's Needed?

  • Bachelor’s degree in Computer Science, Information Systems, or a related field.

  • Proven experience as a Data Modeler working in data warehouse environments.

  • Strong expertise with IBM IDA (InfoSphere Data Architect) or similar data modeling tools.

  • Solid understanding of Azure and Databricks architecture, and experience working in cloud-based data environments.

  • Proficiency in relational and dimensional data modeling techniques, including star and snowflake schemas.

What's in it for me?

  • Opportunity to work with cutting-edge technologies and data architecture in a fast-paced, collaborative environment.

  • Competitive pay rate of up to $65 per hour.

  • Potential for long-term employment with a reputable company in the tech industry.

  • Opportunity to enhance your skills and knowledge in data modeling, data governance, metadata management, and data quality practices.

  • Opportunity to work with stakeholders to ensure the data models support analytics, reporting, and data integration needs.

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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