Data Modeler

Data Modeler

Vacancy expired!

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our Project Delivery team.

Work you'll do/Responsibilities

• Analyzing and translating business needs into long-term solution data models.
• Working with the development team to create conceptual data models and data flows.
• Evaluating existing data systems.
• Evaluating implemented data systems for variances, discrepancies, and efficiency.
• Reviewing modifications of existing systems for cross-compatibility.
• Developing best practices for data coding to ensure consistency within the system.
• Proposing and Implementing data strategies and developing physical data models.
• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
• Working experience with ERwin or any other data modeling tools and code repository (bit bucket) tools.
• Good to have: SQL server, AWS Redshift, Athena services and Jenkins experience.

The Team

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Analytics & Cognitive will work with our clients to:

• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements

Qualifications

Required

• 5+ years of hands-on experience with physical and relational data modeling.
• Expert knowledge of metadata management and related tools.
• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
• Excellent communication and presentation skills.
• Advanced troubleshooting skills.