Database Engineer

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

Skills Required

Data Modelling, Data Warehousing, Azure, Snow Flake, Etl, Aws