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.
Join Pitney Bowes as a Database Engineer
Years of experience: 2-5 years
Job Location - Noida/Pune
Key Skills and Responsibilities
- Snowflake Architecture: Deep understanding of Snowflakes 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.
- Data Warehousing: Knowledge of data warehousing concepts, methodologies, and best practices.
- 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.
- 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.
Other Skills
- Problem-Solving: Ability to troubleshoot and resolve technical issues efficiently.
- Communication: Effective communication skills to interact with stakeholders and team members.
- Analytical Thinking: Ability to analyze data and identify patterns and trends.
- Attention to Detail: Meticulous approach to ensure data accuracy and integrity.
- Adaptability: Willingness to learn new technologies and adapt to changing requirements.
- Project Management: Ability to plan, execute, and monitor projects effectively.
- Leadership: Ability to lead and motivate project teams.
- Time Management: Effective time management skills to meet project deadlines.
- Adaptability: Flexibility to adapt to changing project requirements.
- Stakeholder Management: Ability to manage expectations and build relationships with stakeholders.
Role:
Industry Type:
Department:
Employment Type: Full Time, Permanent
Role Category: DBA / Data warehousing
Education
UG: Any Graduate
PG: Any Postgraduate
Skills Required
Financial Services, Data Modeling, Project Management, Analytical, Data Processing, Logistics, Cognos, Automation, Resource Management, Sql