Description

Design, build, and maintain scalable data models, ETL pipelines, and full-stack features.

This role is on-site.

Responsibilities

• Design and maintain data models and database schemas across SQL, vector, and unstructured stores.
• Optimize database performance through indexing, partitioning, and caching to ensure reliability at scale.
• Build and orchestrate scalable ETL/ELT pipelines and data workflows for analytics and applications.
• Develop full-stack features and APIs using Java, Python, and SQL, integrating data services with frontend components.
• Enforce data security, privacy, and compliance standards, including governance, access controls, and auditing.

Required Skills

• 6+ years of software development experience, including data modeling and full-stack development.
• 3+ years of experience with big data and vector database technologies such as Trino, Spark, and Snowflake.
• Strong proficiency in SQL, Java, and Python.
• Hands-on expertise with SQL, vector, and unstructured databases.
• Deep understanding of normalization, denormalization, and performance tuning.
• Experience designing scalable ETL/data pipelines and secure data architectures.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Key Skills

Education

Any Graduate