Description

You will design and implement dynamic data models to support evolving underlying data structures.

Responsibilities

• Develop dynamic data models that adapt to changes in underlying data sources.
• Optimize query performance through tuning, caching, and effective filtering strategies.
• Implement data lake architectures and techniques for faster data retrieval.
• Apply predicate pushing and use SQL transpilers to improve data processing efficiency.
• Manage infrastructure using AWS and Infrastructure as Code (IaC) implementations.

Required Skills

• 12+ years of experience in data modeling and database management.
• Deep expertise with RDBMS and NoSQL columnar databases such as Apache Parquet or Apache Kylin.
• Advanced SQL proficiency and experience with query optimization.
• Hands-on experience with Apache Spark or similar big data technologies.
• Practical knowledge of AWS and IaC principles.
• Understanding of caching and filtering techniques for large-scale datasets.
• Any Graduate degree.

Preferred Skills

• Experience working with GraphQL at the top layer.

Key Skills

Education

Any Gradute