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Data Modeler

Hexaware Technologies
Chicago, IL, United States
$130K-$150K a year
Full-time

What Working at Hexaware offers :

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide.

We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware’s commitment towards creating smiles.

At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future.

We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers.

We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

The Hexaware Advantage : Your Workplace Benefits

  • Excellent Health benefits with low-cost employee premium.
  • Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage
  • Unlimited training and upskilling opportunities through Udemy and Hexavarsity

Role : Data Architect / Data Modeler

Location : Chicago, IL

Experience : 4 -7 years

Work Mode : Hybrid

Salary Range : $130K - $150K

Job Description -

  • 10+ years of experience delivering data and data analytics solutions in Azure Ecosystem
  • 10+ years of experience in building OLTP and OLAP database models
  • Strong work experience as a Data Modeler working in Azure Ecosystem.
  • Expertise in Ralph Kimball / Inmon Dimensional Data Modeling, Star schema, Snow-Flake schema, creation of Fact and Dimension Tables, OLAP, OLTP and thorough understanding of Data-Warehousing concepts.
  • Good experience of implementing Enterprise data models on a Data Medallion architecture
  • Experienced in performing customer-facing roles
  • Good communication and presentation skills and ability to understand the business priorities and how Technology can support these initiatives.
  • Understanding of the Agile based development and execution approach
  • Well versed with data consumption design patterns like semantic layers, visualizations, ML models, Data Medallion and Data-mesh architectures.

Responsibilities

  • Define, review and document data modeling and design standards
  • Experienced in gathering requirements from Business users for creating and modifying existing Data marts and Reports for various Projects and Departments.
  • Engage with business and technology stakeholders to gather the required information, understand the client expectations, get clarity through workshops, suggest / deliberate on the right data models that meet business requirements.
  • Ability to write complex SQL statements to validate data profiling and transformations.
  • Provide subject matter as a Data Modeler to resolve and address business issues and priorities
  • Designing enterprise data models on cloud (Azure) including services like ETL pipelines, ADF, Synapse etc.

The Role Offers :

  • Opportunity to join a global team to do meaningful work that contributes to global strategy and individual development.
  • An outstanding opportunity to re-imagine, redesign, and apply technology to add value to the business and operations.
  • Gives an opportunity to showcase candidates’ strong analytical skills and problem-solving ability.

Privacy Statement :

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You should be aware that we may share your details with our approved vendors for this event to be handled successfully.

9 days ago
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