Database Engineer

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: Database Administrator

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: DBA / Data warehousing

Education

UG: Any Graduate

PG: Any Postgraduate