Description

You will design, implement, and maintain data models and database schemas across SQL, vector, and unstructured stores. You will build scalable ETL/ELT pipelines, optimize query performance, and develop full-stack features using Java, Python, and SQL.

This role is on-site.

Responsibilities

• Design and maintain data models, database schemas, and secure data architectures for analytics and applications.
• Build and orchestrate scalable ETL/ELT pipelines and data workflows for high-volume workloads.
• Optimize database and query performance through indexing, partitioning, caching, and tuning.
• Develop full-stack features and APIs using Java, Python, and SQL, integrating data services with front-end and back-end 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, database design, and full-stack engineering.
• 3+ years of experience with big data or vector database technologies (e.g., Trino, Spark, 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.
• Proven experience designing scalable ETL/data pipelines and secure data architectures.

Preferred Skills

• Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.

Key Skills

Education

Any Graduate