Job Seekers, Please send resumes to resumes@hireitpeople.com

Required skills:

• Advanced knowledge of data architecture, design and business processes ODS and Data Warehouse environments.
• Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals.
• Strong SQL and analytical skills to pull data from Snowflake/Oracle/SQL Server and perform usage analysis and/or data profiling.
• Understanding of data modelling principles.
• Experience in developing both logical and physical data models.
• Maintain the glossary / data dictionary.
• Be involved in project initiatives to drive alignment to our data principles and standards.
• Build and maintain strong relationships with our key architects and stakeholders.
• Understand and document how data is, or will be used, and its implications on people, processes, products and technology
• Implement appropriate data modelling governance framework
• Coordinate activities with the Enterprise Data Management team, working together with Enterprise Data Architects.

Required Experience:

• 12+ years of strong experience working in Data Warehouse environment with heavy emphasis on data modeling/data architecture involving data analysis, design, coupled with strong knowledge of end-to-end data warehouse development life cycle (data integration, conceptual, logical and physical modeling).
• Hands-on experience with modeling tools, such as: ERWIN or another industry standard tool and knowledge of various features of modeling tool.
• Strong experience in platforms like Snowflake and/or Oracle.

Other relevant skills include:

• Pharma industry experience is a Plus.
• Ability to manage multiple projects in parallel.
• Proven track record in consulting, architecture, solutioning and implementation.
• Understanding of emerging technologies, and their associated impact on enterprise environments.

Detailed Job Description:

• Conducts data requirements assessment and design sessions with customers Works with analysts to establish clearly defined business requirements.
• Work with data suppliers to establish input and interface specifications.
• Perform data analysis for source system data.
• Creates conceptual logical and physical models for banking data lake implementations.
• Design and manages data models in data modeling product Data Modeling, Data Warehousing Dimensional Modeling, Data Modeling for Big data and Metadata Management Data Lake and Big Data modeling experience.
• Design time variant models that support both point in time historical and current state analysis.
• Develop the approach for the implementation of Data Management lifecycle components examples include conformance with reference architecture metadata strategy data lake strategy data classification programs data quality.

Education Requirement:   

Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.