At Pitney Bowes, we do the right thing, the right way.  As a member of our team, you can too.

We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.

We actively look for prospects who:
•    Are passionate about client success.
•    Enjoy collaborating with others.
•    Strive to exceed expectations.
•    Move boldly in the quest for superior and best in market solutions.

Job Description:

• Snowflake Architecture: Deep understanding of Snowflake's architecture, components, and functionalities.
  • Snowflake cost model: Understanding of how Snowflake cost model operates and ability to improve efficiency and track costs across the platform.
• Database Management: Expertise in creating, managing, and optimizing databases, schemas, tables, and views.
• Data Modeling: Knowledge of dimensional modeling (star and snowflake schemas) for data warehousing.
• SQL: Proficiency in SQL for querying, manipulating, and analyzing data.
• Performance Optimization: Understanding of performance tuning techniques (clustering, materialized views, warehouse sizing) to improve query performance.
• Security: Expertise in implementing security measures (IAM, role-based access control, data encryption, password rotation processes) to protect sensitive data.
• ETL/ELT Tools: Familiarity with ETL/ELT tools (e.g., HVR, SnapLogic) for data loading and transformation.
• Cloud Computing: Understanding of cloud concepts (e.g., scalability, elasticity, resource management) and experience with cloud platforms (AWS, Azure).
• Scripting: Proficiency in scripting languages (e.g., Python, Bash) for automation and data processing tasks.

A Snowflake Project Delivery role involves overseeing and executing projects related to Snowflake implementations. Here are the key skills required:

Technical Skills

• Snowflake Knowledge: Understanding of Snowflake architecture, components, and functionalities.
• Data Warehousing: Knowledge of data warehousing concepts, methodologies, and best practices.
• ETL/ELT Tools: Familiarity with ETL/ELT tools for data extraction, transformation, and loading (HVR & Snaplogic)
• Data Modeling: Understanding of dimensional modeling (star and snowflake schemas).
• SQL: Proficiency in SQL for querying, manipulating, and analyzing data.
• Reporting platform: Experience in setting up Power BI workspaces and Cognos Packages with secure data models ready for reporting.
• Project Management: Knowledge of project management methodologies (e.g., Agile, Waterfall) and tools.
• Cloud Computing: Understanding of cloud concepts and platforms (AWS, Azure).

We will:

• Provide the will: opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer comprehensive benefits globally (PB Live Well)

Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.

All interested individuals must apply online.