Senior Data Modeler

hace 1 mes

Coto Laurel, Puerto Rico Hexaware Technologies A tiempo completo

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 CoverageUnlimited training and upskilling opportunities through Udemy and Hexavarsity Senior Data Modeler
Location: Mount Laurel, NJ
Duration: FTE/C2C
Type of work: Hybrid (2-3 days onsite client location)
Experience: 10-12 + Years
Job Description:
We are seeking a skilled Sr. Data Modeler to join our team and contribute to the design and implementation of scalable and efficient data models. The ideal candidate will have experience with Data Vault techniques, proficiency in Cloud Azure, and good to have working knowledge with Databricks.
Data Modeling:
Design and develop data models using Data Vault methodologies to ensure robust, scalable, and flexible data architectures.Create and maintain conceptual, logical, and physical data models to support business requirements.Collaborate with stakeholders to understand data requirements and translate them into effective data models.Implement best practices for data modeling, including normalization, denormalization, and data integration.Data Vault Implementation:
Utilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources.Design and implement Hubs, Links, and Satellites to ensure comprehensive data capture and historical tracking.Optimize data vault models for performance and scalability.Cloud Azure:
Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.Ensure data security, compliance, and best practices in Azure environments.Collaboration and Communication:Work closely with data engineers, data scientists, and business analysts to understand data needs and ensure data model alignment.Provide technical guidance and support on data modeling best practices and Data Vault principles.Document data models, data flows, and integration processes clearly and comprehensively. Data Modelling tools Azure:
Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio)
Requirements:
Bachelor's degree in Computer Science, Information Systems, or a related field (Master's degree preferred).Proven experience in data modeling, with a strong focus on Data Vault techniques.Proficiency in Cloud Azure services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics.Understand/Knowledge with Databricks and its ecosystem.Strong understanding of data warehousing concepts, Data Lake house, ETL processes, and data integration techniques.Excellent analytical and problem-solving skills with attention to detail.Strong communication and collaboration skills to work effectively with cross-functional teams.Relevant certifications in Azure and Databricks are a plus. Preferred Qualifications:
Experience with additional cloud platforms (e.g., AWS, Google Cloud) is a plus.Knowledge of data governance and data quality principles.Experience with BI tools such as Power BI, Tableau, or Looker.

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