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Database Engineer

Database Engineer

Pitney Bowes
1-7 Years
Not Disclosed
Quick Apply
  • Posted a month ago
  • Over 400 applicants have applied

Job Description

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.

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